From 0d17eeefdb38dfd656d2710d4c23147f6c877cba Mon Sep 17 00:00:00 2001 From: Alexander Peltzer Date: Wed, 8 May 2019 12:25:34 +0200 Subject: [PATCH] 2to3 converted FRED2 package --- Fred2/.project | 23 - Fred2/CleavagePrediction/External.py | 6 +- Fred2/CleavagePrediction/PSSM.py | 10 +- Fred2/CleavagePrediction/__init__.py | 4 +- Fred2/Core/Allele.py | 3 +- Fred2/Core/Base.py | 28 +- Fred2/Core/Generator.py | 24 +- Fred2/Core/Peptide.py | 24 +- Fred2/Core/Protein.py | 10 +- Fred2/Core/Result.py | 13 +- Fred2/Core/Transcript.py | 10 +- .../Homo_sapiens.GRCh38.cds.test_stub.fa | 979 -- .../Homo_sapiens.GRCh38.pep.test_stub.fa | 355 - Fred2/Data/examples/alleles.txt | 2 - Fred2/Data/examples/alleles_defect.txt | 2 - Fred2/Data/examples/testSequences.fasta | 14 - Fred2/Data/examples/testSequences_d2s.fasta | 1000 -- Fred2/Data/examples/test_annovar.out | 5 - Fred2/Data/examples/vcftestfile1.vcf | 81 - Fred2/Data/examples/vcftestfile2.vcf | 23 - Fred2/Data/examples/vcftestfile3.vcf | 66 - 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100644 Fred2/tutorials/data/Homo_sapiens.GRCh38.pep.test_stub.fa delete mode 100644 Fred2/tutorials/data/allele_probabilities_europe.csv delete mode 100644 Fred2/tutorials/data/alleles.txt delete mode 100644 Fred2/tutorials/data/annovar_excerpt.out delete mode 100644 Fred2/tutorials/data/peptides.txt delete mode 100644 Fred2/tutorials/data/proteins.fasta delete mode 100644 Fred2/tutorials/data/test.csv delete mode 100644 Fred2/tutorials/data/test_annovar.out diff --git a/Fred2/.project b/Fred2/.project deleted file mode 100644 index ad5cc851..00000000 --- a/Fred2/.project +++ /dev/null @@ -1,23 +0,0 @@ - - - FRED2 - - - - - - org.python.pydev.PyDevBuilder - - - - - - org.python.pydev.pythonNature - - - - GLPK - file:/usr/local/bin/glpsol - - - diff --git a/Fred2/CleavagePrediction/External.py b/Fred2/CleavagePrediction/External.py index 147780fa..7fec6a7e 100644 --- a/Fred2/CleavagePrediction/External.py +++ b/Fred2/CleavagePrediction/External.py @@ -73,7 +73,7 @@ def predict(self, aa_seq, command=None, options=None, **kwargs): result = {} peps = list(pep_seqs.values()) - for i in xrange(0, len(peps), chunksize): + for i in range(0, len(peps), chunksize): tmp_out = NamedTemporaryFile(delete=False) tmp_file = NamedTemporaryFile(delete=False) self.prepare_input(peps[i:i+chunksize], tmp_file) @@ -120,7 +120,7 @@ class NetChop_3_1(AExternalCleavageSitePrediction, AExternal): T-cell epitopes: insights obtained from improved predictions of proteasomal cleavage. Immunogenetics, 57(1-2), 33-41. """ - __supported_length = [sys.maxint] + __supported_length = [sys.maxsize] __name = "netchop" __cleavage_pos = 0 __command = "netchop {input} {options} | grep -v '#' > {out}" @@ -260,7 +260,7 @@ def predict(self, aa_seq, command=None, options=None, **kwargs): result = {} peps = list(pep_seqs.items()) - for i in xrange(0, len(peps), chunksize): + for i in range(0, len(peps), chunksize): tmp_out = NamedTemporaryFile(delete=False) tmp_file = NamedTemporaryFile(delete=False) diff --git a/Fred2/CleavagePrediction/PSSM.py b/Fred2/CleavagePrediction/PSSM.py index 27b686ca..6f245ef7 100644 --- a/Fred2/CleavagePrediction/PSSM.py +++ b/Fred2/CleavagePrediction/PSSM.py @@ -66,7 +66,7 @@ def __load_model(length): raise KeyError("No model found for %s with length %i"%(self.name, length)) diff = length - self.cleavagePos - for j,seq in enumerate(pep_seqs.iterkeys()): + for j,seq in enumerate(pep_seqs.keys()): seq_id = "seq_%i"%j p = pep_seqs[seq] @@ -75,7 +75,7 @@ def __load_model(length): if p.transcript_id: seq_id = p.transcript_id else: - for t in p.proteins.iterkeys(): + for t in p.proteins.keys(): if t: seq_id = t break @@ -85,7 +85,7 @@ def __load_model(length): warnings.warn("Sequence length of %i is to small for specified window of %i"%(len(seq),length), RuntimeWarning) continue - for i in xrange(len(seq)): + for i in range(len(seq)): if i < (length-1): result["Seq"][(seq_id, i)] = seq[i] @@ -332,7 +332,7 @@ def __load_model(length): pep_seqs[str(p)] = p result = {self.name:{}} - for length, peps in itertools.groupby(pep_seqs.iterkeys(), key= lambda x: len(x)): + for length, peps in itertools.groupby(iter(pep_seqs.keys()), key= lambda x: len(x)): peps = list(peps) #dynamicaly import prediction PSSMS for alleles and predict if length not in self.supportedLength: @@ -438,7 +438,7 @@ def __load_model(length): pep_seqs[str(p)] = p result = {self.name: {}} - for length, peps in itertools.groupby(pep_seqs.iterkeys(), key=lambda x: len(x)): + for length, peps in itertools.groupby(iter(pep_seqs.keys()), key=lambda x: len(x)): peps = list(peps) #dynamicaly import prediction PSSMS for alleles and predict if length not in self.supportedLength: diff --git a/Fred2/CleavagePrediction/__init__.py b/Fred2/CleavagePrediction/__init__.py index c7e57e45..dc9533a5 100644 --- a/Fred2/CleavagePrediction/__init__.py +++ b/Fred2/CleavagePrediction/__init__.py @@ -48,7 +48,7 @@ def available_methods(): :return: dict(str,list(int)) - dict of cleavage site predictor represented as string and the supported versions """ - return {k: sorted(versions.iterkeys()) for k, versions in ACleavageSitePrediction.registry.iteritems()} + return {k: sorted(versions.keys()) for k, versions in ACleavageSitePrediction.registry.items()} class CleavageFragmentPredictorFactory(object): @@ -80,4 +80,4 @@ def available_methods(): :return: dict(str,list(str)) - dict of cleavage site predictor represented as string and the supported versions """ - return {k: sorted(versions.iterkeys()) for k, versions in ACleavageFragmentPrediction.registry.iteritems()} \ No newline at end of file + return {k: sorted(versions.keys()) for k, versions in ACleavageFragmentPrediction.registry.items()} \ No newline at end of file diff --git a/Fred2/Core/Allele.py b/Fred2/Core/Allele.py index d4697f36..d093bb7a 100644 --- a/Fred2/Core/Allele.py +++ b/Fred2/Core/Allele.py @@ -22,11 +22,10 @@ def __call__(cls, name, prob=None): return type.__call__(cls, name, prob=prob) -class Allele(MetadataLogger): +class Allele(MetadataLogger, metaclass=AlleleFactory): """ This class represents an HLA Allele and stores additional information """ - __metaclass__ = AlleleFactory def __init__(self, name, prob=None): """ diff --git a/Fred2/Core/Base.py b/Fred2/Core/Base.py index b8d7f2dc..f5ca017e 100644 --- a/Fred2/Core/Base.py +++ b/Fred2/Core/Base.py @@ -86,7 +86,7 @@ def __getitem__(cls, args): return cls.registry[name][version] def __iter__(cls): - return iter(cls.registry.values()) + return iter(list(cls.registry.values())) def __str__(cls): if cls in cls.registry: @@ -94,9 +94,7 @@ def __str__(cls): return cls.__name__ + ": " + ", ".join([sc.__name__ for sc in cls]) -class ACleavageSitePrediction(object): - __metaclass__ = APluginRegister - +class ACleavageSitePrediction(object, metaclass=APluginRegister): @abc.abstractproperty def name(self): """ @@ -140,9 +138,7 @@ def predict(self, aa_seq, **kwargs): raise NotImplementedError -class ACleavageFragmentPrediction(object): - __metaclass__ = APluginRegister - +class ACleavageFragmentPrediction(object, metaclass=APluginRegister): @abc.abstractproperty def name(self): """ @@ -185,9 +181,7 @@ def predict(self, aa_seq, **kwargs): raise NotImplementedError -class AEpitopePrediction(object): - __metaclass__ = APluginRegister - +class AEpitopePrediction(object, metaclass=APluginRegister): @abc.abstractproperty def name(self): """ @@ -246,11 +240,10 @@ def predict(self, peptides, alleles=None, **kwargs): raise NotImplementedError -class ASVM(object): +class ASVM(object, metaclass=abc.ABCMeta): """ Base class for SVM prediction tools """ - __metaclass__ = abc.ABCMeta @abc.abstractmethod def encode(self, peptides): @@ -265,11 +258,10 @@ def encode(self, peptides): raise NotImplementedError -class AExternal(object): +class AExternal(object, metaclass=abc.ABCMeta): """ Base class for external tools """ - __metaclass__ = abc.ABCMeta @abc.abstractproperty def command(self): @@ -333,9 +325,7 @@ def get_external_version(self, path=None): return str(stdo).strip() -class ATAPPrediction(object): - __metaclass__ = APluginRegister - +class ATAPPrediction(object, metaclass=APluginRegister): @abc.abstractproperty def name(self): """ @@ -371,9 +361,7 @@ def predict(self, peptides, **kwargs): raise NotImplementedError -class AHLATyping(object): - __metaclass__ = APluginRegister - +class AHLATyping(object, metaclass=APluginRegister): @abc.abstractproperty def name(self): """ diff --git a/Fred2/Core/Generator.py b/Fred2/Core/Generator.py index 078aed65..83d6374c 100644 --- a/Fred2/Core/Generator.py +++ b/Fred2/Core/Generator.py @@ -235,11 +235,11 @@ def _generate_combinations(tId, vs, seq, usedVs, offset, isReverse): transToVar = {} for v in vars: - for trans_id in v.coding.iterkeys(): + for trans_id in v.coding.keys(): transToVar.setdefault(trans_id, []).append(v) prots = [] - for tId, vs in transToVar.iteritems(): + for tId, vs in transToVar.items(): #print tId query = dbadapter.get_transcript_information(tId, type=id_type, _db=db) if query is None: @@ -258,13 +258,13 @@ def _generate_combinations(tId, vs, seq, usedVs, offset, isReverse): continue generate_peptides_from_variants.transOff = 0 - for start in xrange(0, len(tSeq) + 1 - 3 * length, 3): + for start in range(0, len(tSeq) + 1 - 3 * length, 3): #supoptimal as it always has to traverse the combination tree for all frameshift mutations. end = start + 3 * length - vars_fs_hom = filter(lambda x: (x.isHomozygous + vars_fs_hom = [x for x in vs if (x.isHomozygous or x.type in [VariationType.FSINS, VariationType.FSDEL]) - and x.coding[tId].tranPos < start, vs) - vars_in_window = filter(lambda x: start <= x.coding[tId].tranPos < end, vs) + and x.coding[tId].tranPos < start] + vars_in_window = [x for x in vs if start <= x.coding[tId].tranPos < end] if vars_in_window: vars = vars_fs_hom+vars_in_window @@ -272,7 +272,7 @@ def _generate_combinations(tId, vs, seq, usedVs, offset, isReverse): prots = chain(prots, generate_proteins_from_transcripts(Transcript("".join(varSeq), geneid, ttId, vars=varComb))) return [ p for p in generate_peptides_from_proteins(prots, length, peptides=peptides) - if any(p.get_variants_by_protein(prot) for prot in p.proteins.iterkeys())] + if any(p.get_variants_by_protein(prot) for prot in p.proteins.keys())] ################################################################################ # V A R I A N T S = = > T R A N S C R I P T S @@ -343,10 +343,10 @@ def _generate_combinations(tId, vs, seq, usedVs, offset, isReverse=False): transToVar = {} for v in vars: - for trans_id in v.coding.iterkeys(): + for trans_id in v.coding.keys(): transToVar.setdefault(trans_id, []).append(v) - for tId, vs in transToVar.iteritems(): + for tId, vs in transToVar.items(): query = dbadapter.get_transcript_information(tId, type=id_type, _db=db) if query is None: warnings.warn("Transcript with ID %s not found in DB"%tId) @@ -414,7 +414,7 @@ def generate_proteins_from_transcripts(transcripts, table='Standard', stop_symbo prot_seq = str(t.translate(table=table, stop_symbol=stop_symbol, to_stop=to_stop, cds=cds)) new_vars = dict() - for pos, var in t.vars.iteritems(): + for pos, var in t.vars.items(): if not var.isSynonymous: prot_pos = pos // 3 new_vars.setdefault(prot_pos, []).append(var) @@ -450,7 +450,7 @@ def gen_peptide_info(protein): res = [] seq = str(protein) - for i in xrange(len(protein)+1-window_size): + for i in range(len(protein)+1-window_size): # generate peptide fragment end = i+window_size pep_seq = seq[i:end] @@ -483,4 +483,4 @@ def gen_peptide_info(protein): final_peptides[seq].proteins[t_id] = prot final_peptides[seq].proteinPos[t_id].append(pos) - return final_peptides.itervalues() + return iter(final_peptides.values()) diff --git a/Fred2/Core/Peptide.py b/Fred2/Core/Peptide.py index e8b7b1b6..86dd36e5 100644 --- a/Fred2/Core/Peptide.py +++ b/Fred2/Core/Peptide.py @@ -40,12 +40,12 @@ def __init__(self, seq, protein_pos=None): # Enforce dict storage if protein_pos and \ - any(not isinstance(p, Protein) or any(not isinstance(i, (int, long)) for i in pos) for p, pos in - protein_pos.iteritems()): + any(not isinstance(p, Protein) or any(not isinstance(i, int) for i in pos) for p, pos in + protein_pos.items()): raise TypeError("The proteins_pos given to a Peptide object should be dict(Protein,list(int))") - self.proteins = dict() if protein_pos is None else {p.transcript_id:p for p in protein_pos.iterkeys()} + self.proteins = dict() if protein_pos is None else {p.transcript_id:p for p in protein_pos.keys()} self.proteinPos = collections.defaultdict(list) if protein_pos is None else {p.transcript_id: pos for p, pos in - protein_pos.iteritems()} + protein_pos.items()} def __getitem__(self, index): """ @@ -67,7 +67,7 @@ def __getitem__(self, index): start, stop, step = index.indices(len(self)) if start > stop: raise ValueError("start has to be greater than stop") - protPos = {self.proteins[tId]: [p+(start-p) for p in pos] for tId, pos in self.proteinPos.iteritems()} + protPos = {self.proteins[tId]: [p+(start-p) for p in pos] for tId, pos in self.proteinPos.items()} return Peptide(seq, protein_pos=protPos) def __repr__(self): @@ -81,7 +81,7 @@ def __repr__(self): lines.append("\tVARIANTS:") for var in self.get_variants_by_protein(t_id): lines.append("\t%s" % var) - for p in self.proteins.itervalues(): + for p in self.proteins.values(): p_id = p.transcript_id lines.append("in PROTEIN: %s" % p_id) return '\n'.join(lines) @@ -94,7 +94,7 @@ def get_all_proteins(self): :return: A list of :class:`~Fred2.Core.Protein.Protein` :rtype: list(:class:`~Fred2.Core.Protein.Protein`) """ - return self.proteins.values() + return list(self.proteins.values()) def get_protein(self, transcript_id): """ @@ -115,7 +115,7 @@ def get_all_transcripts(self): :return: A list of :class:`~Fred2.Core.Transcript.Transcript` :rtype: list(:class:`~Fred2.Core.Transcript.Transcript`) """ - return [p.orig_transcript for p in self.proteins.itervalues()] + return [p.orig_transcript for p in self.proteins.values()] def get_transcript(self, transcript_id): """ @@ -157,7 +157,7 @@ def get_variants_by_protein(self, transcript_id): fs = [] shift = 0 for start_pos in self.proteinPos[transcript_id]: - for i in xrange(start_pos): + for i in range(start_pos): for v in p.vars.get(i, []): if v.type in [VariationType.FSDEL, VariationType.FSINS]: shift = (v.get_shift()+shift) % 3 @@ -165,7 +165,7 @@ def get_variants_by_protein(self, transcript_id): fs.append(v) else: fs = [] - for j in xrange(start_pos, start_pos+len(self)): + for j in range(start_pos, start_pos+len(self)): for v in p.vars.get(j, []): var.append(v) fs.extend(var) @@ -199,7 +199,7 @@ def get_variants_by_protein_position(self, transcript_id, protein_pos): var = dict() fs = dict() shift = 0 - for i in xrange(protein_pos): + for i in range(protein_pos): for v in p.vars.get(i, []): if v.type in [VariationType.FSDEL, VariationType.FSINS]: shift = (v.get_shift()+shift) % 3 @@ -207,7 +207,7 @@ def get_variants_by_protein_position(self, transcript_id, protein_pos): fs.setdefault(i - protein_pos, []).append(v) else: fs.clear() - for j in xrange(protein_pos, protein_pos+len(self)): + for j in range(protein_pos, protein_pos+len(self)): for v in p.vars.get(j, []): var.setdefault(j - protein_pos, []).append(v) fs.update(var) diff --git a/Fred2/Core/Protein.py b/Fred2/Core/Protein.py index 040b927a..f3a0e4ab 100644 --- a/Fred2/Core/Protein.py +++ b/Fred2/Core/Protein.py @@ -29,7 +29,7 @@ class Protein(MetadataLogger, Seq): (from Biopython) """ - newid = itertools.count().next #this is evil and has no other purpose? it does not help that there may be more than one protein from one transcript - due to variants + newid = itertools.count().__next__ #this is evil and has no other purpose? it does not help that there may be more than one protein from one transcript - due to variants def __init__(self, _seq, gene_id="unknown", transcript_id=None, orig_transcript=None, vars=None): """ @@ -79,15 +79,15 @@ def __getitem__(self, index): if start > stop: raise ValueError("start has to be greater than stop") if index.step: - slice = set(xrange(start, step, stop)) + slice = set(range(start, step, stop)) else: - slice = set(xrange(start, stop)) + slice = set(range(start, stop)) _vars = {} _fs = {} shift = 0 #collect also all frame shift variants that are not canceled out - for pos, vs in sorted(self.vars.iteritems()): + for pos, vs in sorted(self.vars.items()): if pos < start: for v in vs: if v.type in [VariationType.FSINS, VariationType.FSDEL]: @@ -111,7 +111,7 @@ def __repr__(self): # Variants: lines += ["\t VARIANTS:"] - for vpos, vset in self.vars.iteritems(): + for vpos, vset in self.vars.items(): for v in vset: lines.append('\t pos %i: %s'%(vpos, v)) diff --git a/Fred2/Core/Result.py b/Fred2/Core/Result.py index 29a7b66e..3a100570 100644 --- a/Fred2/Core/Result.py +++ b/Fred2/Core/Result.py @@ -14,14 +14,13 @@ import pandas -class AResult(pandas.DataFrame): +class AResult(pandas.DataFrame, metaclass=abc.ABCMeta): """ A :class:`~Fred2.Core.Result.AResult` object is a :class:`pandas.DataFrame` with with multi-indexing. This class is used as interface and can be extended with custom short-cuts for the sometimes often tedious calls in pandas """ - __metaclass__ = abc.ABCMeta @abc.abstractmethod def filter_result(self, expressions): @@ -86,8 +85,8 @@ def filter_result(self, expressions): expressions = [expressions] #builde logical expression - masks = map(list, [comp(self.loc[(slice(None), method), :], thr).any(axis=1) - for method, comp, thr in expressions]) + masks = list(map(list, [comp(self.loc[(slice(None), method), :], thr).any(axis=1) + for method, comp, thr in expressions])) if len(masks) > 1: masks = numpy.logical_and(*masks) else: @@ -95,7 +94,7 @@ def filter_result(self, expressions): #apply to all rows idx = [f for f in masks - for _ in xrange(len(self.index.levels[1]))] + for _ in range(len(self.index.levels[1]))] return EpitopePredictionResult(self.loc[idx, :]) def merge_results(self, others): @@ -112,7 +111,7 @@ def merge_results(self, others): if type(others) == type(self): others = [others] - for i in xrange(len(others)): + for i in range(len(others)): df1a, df2a = df.align(others[i]) zero1 = df1a == 0 zero2 = df2a == 0 @@ -205,7 +204,7 @@ def merge_results(self, others): others = [others] df = self - for i in xrange(len(others)): + for i in range(len(others)): o = others[i] df1a, df2a = df.align(o,) diff --git a/Fred2/Core/Transcript.py b/Fred2/Core/Transcript.py index 6dd5c884..14e6037f 100755 --- a/Fred2/Core/Transcript.py +++ b/Fred2/Core/Transcript.py @@ -31,7 +31,7 @@ class Transcript(MetadataLogger, Seq): :class:`~Fred2.Core.Transcript.Transcript`. key=position, value=Variant :type vars: dict(int,:class:`Fred2.Core.Variant.Variant`) """ - newid = itertools.count().next #this is evil + newid = itertools.count().__next__ #this is evil def __init__(self, seq, gene_id="unknown", transcript_id=None, vars=None): """ @@ -68,15 +68,15 @@ def __getitem__(self, index): raise ValueError("start has to be greater than stop") if index.step: - slice = set(xrange(start, step, stop)) + slice = set(range(start, step, stop)) else: - slice = set(xrange(start, stop)) + slice = set(range(start, stop)) _vars = {} _fs = {} shift = 0 #collect also all frame shift variants that are not canceled out - for pos, v in sorted(self.vars.iteritems()): + for pos, v in sorted(self.vars.items()): if pos < start: if v.type in [VariationType.FSINS, VariationType.FSDEL]: shift = (v.get_shift()+shift) % 3 @@ -96,7 +96,7 @@ def __repr__(self): lines = ["TRANSCRIPT: %s" % self.transcript_id] # get all variants: lines += ["VARIANTS:"] - for vpos, var in self.vars.iteritems(): + for vpos, var in self.vars.items(): lines.append('\tpos %i: %s'%(vpos, var)) lines += ["SEQUENCE: %s (mRNA)"%str(self)] return '\n\t'.join(lines) diff --git a/Fred2/Data/examples/Homo_sapiens.GRCh38.cds.test_stub.fa b/Fred2/Data/examples/Homo_sapiens.GRCh38.cds.test_stub.fa deleted file mode 100644 index 83e8a0d3..00000000 --- a/Fred2/Data/examples/Homo_sapiens.GRCh38.cds.test_stub.fa +++ /dev/null @@ -1,979 +0,0 @@ ->ENST00000503937 havana:known chromosome:GRCh38:4:82818661:82844460:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -NCAAATGCTGCTGGTCAGCTTCCCACATCTCCAGGTCATATGCACACCCAGGTACCACCT -TATCCACAGCCACAGCCTTATCAACCAGCCCAGCCGTATCCCTTCGGAACAGGGGGGTCA -GCAATGTATCGACCTCAGCAGCCTGTTGCTCCTCCTACTTCAAACGCTTACCCTAACACC -CCTTACATATCTTCTGCTTCTTCCTATACTGGGCAGTCTCAGCTGTACGCAGCACAGCAC -CAGGCCTCTTCACCTACCTCCAGCCCTGCTACTTCTTTCCCTCCTCCCCCTTCCTCTGGA -GCATCCTTCCAGCATGGCGGACCAGGAGCTCCACCATCATCTTCAGCTTATGCACTGCCT -CCTGGAACAACAGGTACACTGCCTGCTGCCAGTGAGCTGCCTGCGTCCCAAAGAACAGAA -AACCAGTCTATCCAAGACCAGGCACCTATGTTGGAAGGTCCTCAGAATGGTTGGAATGAC -CCTCCAGCTTTGAACAGAGTACCCAAAAAGAAGAAGATGCCTGAAAACTTCATGCCTCCT -GTTCCCATCACATCACCAATCATGAACCCGTTGGGTGACCCCCAGTCACAAATGCTGCAG -CAACAGCCTTCAGCTCCAGTACCACTGTCAAGCCAGTCTTCATTCCCACAGCCACATCTT -CCAGGTGGCCAGCCCTTCCATGGCGTACAGCAACCTCTTGGTCAAACAGGCATGCCACCA -TCTTTTTCAAAGCCCAATATTGAAGGTGCCCCAGGGGCTCCTATTGGAAATACCTTCCAG -CATGTGCAGTCTTTGCCAACAAAAAAAATTACCAAGAAACCTATTCCAGATGAGCACCTC -ATTCTAAAGACCACATTTGAGGATCTTATTCAGCGCTGCCTTTCTTCAGCAACAGACCCT -CAAACCAAGAGGAAGCTAGATGATGCCAGCAAACGTTTGGAGTTTCTGTATGATAAACTT -AGGGAACAGACACTTTCACCAACAATCACCAGTGGTTTACACAACATTGCAAGGAGCATT -GAAACTCGAAACTACTCAGAAGGATTGACCATGCATACCCACATAGTTAGCACCAGCAAC -TTCAGTGAGACCTCTGCTTTCATGCCAGTTCTCAAAGTTGTTCTCACCCAGGCCAATAAG -CTGGGTGTCTAA ->ENST00000348405 ensembl_havana_transcript:known chromosome:GRCh38:4:82818661:82891136:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCTCACAGGTACCACAAGTTGATTTGGGGGCCTTATAAAATGGAT -TCCAAAGGAGATGTCTCTGGAGTTCTGATTGCAGGTGGTGAAAATGGAAATATTATTCTC -TATGATCCTTCTAAAATTATAGCTGGAGACAAGGAAGTTGTGATTGCCCAGAATGACAAG -CATACTGGCCCAGTGAGAGCCTTGGATGTGAACATTTTCCAGACTAATCTGGTAGCTTCT -GGTGCTAATGAATCTGAAATCTACATATGGGATCTAAATAATTTTGCAACCCCAATGACA -CCAGGAGCCAAAACACAGCCGCCAGAAGATATCAGCTGCATTGCATGGAACAGACAAGTT -CAGCATATTTTAGCATCAGCCAGTCCCAGTGGCCGGGCCACTGTATGGGATCTTAGAAAA -AATGAGCCAATCATCAAAGTCAGTGACCATAGTAACAGAATGCATTGTTCTGGGTTGGCA -TGGCATCCTGATGTTGCTACTCAGATGGTCCTTGCCTCCGAGGATGACCGGTTACCAGTG -ATCCAGATGTGGGATCTTCGATTTGCTTCCTCTCCACTTCGTGTCCTGGAAAACCATGCC -AGGGGGATTTTGGCAATTGCTTGGAGCATGGCAGATCCTGAATTGTTACTGAGCTGTGGA -AAAGATGCTAAGATTCTCTGCTCCAATCCAAACACAGGAGAGGTGTTATATGAACTTCCC -ACCAACACACAGTGGTGCTTCGATATTCAGTGGTGTCCCCGAAATCCTGCTGTCTTATCA -GCTGCTTCGTTTGATGGGCGTATCAGTGTTTATTCTATCATGGGAGGTAGCACAGATGGT -TTAAGACAGAAACAAGTTGACAAGCTTTCATCATCTTTTGGGAATCTTGATCCCTTTGGC -ACAGGACAGCCCCTTCCTCCGTTACAAATTCCACAGCAGACTGCTCAGCATAGTATAGTG -CTGCCTCTGAAGAAGCCGCCCAAGTGGATTCGAAGGCCTGTTGGTGCTTCTTTTTCATTT -GGAGGCAAACTGGTTACGTTTGAGAATGTCAGAATGCCTTCTCATCAGGGAGCTGAGCAG -CAGCAGCAGCAGCACCATGTGTTCATTAGTCAGGTTGTAACAGAAAAGGAGTTCCTCAGC -CGATCAGACCAACTTCAGCAGGCTGTGCAGTCACAAGGATTTATCAATTATTGCCAAAAA -AAAATTGATGCTTCTCAGACTGAATTTGAGAAAAATGTGTGGTCCTTTTTGAAGGTAAAC -TTTGAGGATGATTCTCGTGGAAAATACCTTGAACTTCTAGGATACAGAAAAGAAGATCTA -GGAAAGAAGCACATTAAAGAGGAAAAAGAAGAATCTGAATTTCTACCCTCATCTGGAGGA -ACATTTAATATCTCTGTCAGTGGGGACATTGATGGTTTAATTACTCAGGCTTTGCTGACG -GGCAATTTTGAGAGTGCTGTTGACCTTTGTTTACATGATAACCGCATGGCCGATGCCATT -ATATTGGCCATAGCAGGTGGACAAGAACTCTTGGCTCGAACCCAGAAAAAATACTTCGCA -AAATCCCAAAGCAAAATTACCAGGCTCATCACTGCAGTGGTGATGAAGAACTGGAAAGAG -ATTGTTGAGTCTTGTGATCTTAAAAATTGGAGAGAGGCTTTAGCTGCAGTATTGACTTAT -GCAAAGCCGGATGAATTTTCAGCCCTTTGTGATCTTTTGGGAACCAGGCTTGAAAATGAA -GGAGATAGCCTCCTGCAGACTCAAGCATGTCTCTGCTATATTTGTGCAGGGAATGTAGAG -AAATTAGTTGCATGTTGGACTAAAGCTCAAGATGGAAGCCACCCTTTGTCACTTCAGGAT -CTGATTGAGAAAGTTGTCATCCTGCGAAAAGCTGTGCAACTCACTCAAGCCATGGACACT -AGTACTGTAGGAGTTCTCTTGGCTGCGAAGATGAGTCAGTATGCCAATTTGTTGGCAGCT -CAGGGCAGTATTGCTGCAGCCTTGGCTTTTCTTCCTGACAACACCAACCAGCCAAATATC -ATGCAGCTTCGTGACAGACTTTGTAGAGCACAAGGAGAGCCTGTAGCAGGACATGAATCA -CCTAAAATTCCGTACGAGAAACAGCAGCTCCCCAAGGGCAGGCCTGGACCAGTTGCTGGC -CACCACCAGATGCCAAGAGTTCAAACTCAACAATATTATCCCCATGGAGAAAATCCTCCA -CCTCCGGGTTTCATAATGCATGGAAATGTTAATCCAAATGCTGCTGGTCAGCTTCCCACA -TCTCCAGGTCATATGCACACCCAGGTACCACCTTATCCACAGCCACAGCCTTATCAACCA -GCCCAGCCGTATCCCTTCGGAACAGGGGGGTCAGCAATGTATCGACCTCAGCAGCCTGTT -GCTCCTCCTACTTCAAACGCTTACCCTAACACCCCTTACATATCTTCTGCTTCTTCCTAT -ACTGGGCAGTCTCAGCTGTACGCAGCACAGCACCAGGCCTCTTCACCTACCTCCAGCCCT -GCTACTTCTTTCCCTCCTCCCCCTTCCTCTGGAGCATCCTTCCAGCATGGCGGACCAGGA -GCTCCACCATCATCTTCAGCTTATGCACTGCCTCCTGGAACAACAGGTACACTGCCTGCT -GCCAGTGAGCTGCCTGCGTCCCAAAGAACAGGTCCTCAGAATGGTTGGAATGACCCTCCA -GCTTTGAACAGAGTACCCAAAAAGAAGAAGATGCCTGAAAACTTCATGCCTCCTGTTCCC -ATCACATCACCAATCATGAACCCGTTGGGTGACCCCCAGTCACAAATGCTGCAGCAACAG -CCTTCAGCTCCAGTACCACTGTCAAGCCAGTCTTCATTCCCACAGCCACATCTTCCAGGT -GGCCAGCCCTTCCATGGCGTACAGCAACCTCTTGGTCAAACAGGCATGCCACCATCTTTT -TCAAAGCCCAATATTGAAGGTGCCCCAGGGGCTCCTATTGGAAATACCTTCCAGCATGTG -CAGTCTTTGCCAACAAAAAAAATTACCAAGAAACCTATTCCAGATGAGCACCTCATTCTA -AAGACCACATTTGAGGATCTTATTCAGCGCTGCCTTTCTTCAGCAACAGACCCTCAAACC -AAGAGGAAGCTAGATGATGCCAGCAAACGTTTGGAGTTTCTGTATGATAAACTTAGGGAA -CAGACACTTTCACCAACAATCACCAGTGGTTTACACAACATTGCAAGGAGCATTGAAACT -CGAAACTACTCAGAAGGATTGACCATGCATACCCACATAGTTAGCACCAGCAACTTCAGT -GAGACCTCTGCTTTCATGCCAGTTCTCAAAGTTGTTCTCACCCAGGCCAATAAGCTGGGT -GTCTAA ->ENST00000513858 havana:known chromosome:GRCh38:4:82818661:82891153:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCTCACAGGTACCACAAGTTGATTTGGGGGCCTTATAAAATGGAT -TCCAAAGGAGATGTCTCTGGAGTTCTGATTGCAGGTGGTGAAAATGGAAATATTATTCTC -TATGATCCTTCTAAAATTATAGCTGGAGACAAGGAAGTTGTGATTGCCCAGAATGACAAG -CATACTGGCCCAGTGAGAGCCTTGGATGTGAACATTTTCCAGACTAATCTGGTAGCTTCT -GGTGCTAATGAATCTGAAATCTACATATGGGATCTAAATAATTTTGCAACCCCAATGACA -CCAGGAGCCAAAACACAGCCGCCAGAAGATATCAGCTGCATTGCATGGAACAGACAAGTT -CAGCATATTTTAGCATCAGCCAGTCCCAGTGGCCGGGCCACTGTATGGGATCTTAGAAAA -AATGAGCCAATCATCAAAGTCAGTGACCATAGTAACAGAATGCATTGTTCTGGGTTGGCA -TGGCATCCTGATGTTGCTACTCAGATGGTCCTTGCCTCCGAGGATGACCGGTTACCAGTG -ATCCAGATGTGGGATCTTCGATTTGCTTCCTCTCCACTTCGTGTCCTGGAAAACCATGCC -AGGGGGATTTTGGCAATTGCTTGGAGCATGGCAGATCCTGAATTGTTACTGAGCTGTGGA -AAAGATGCTAAGATTCTCTGCTCCAATCCAAACACAGGAGAGGTGTTATATGAACTTCCC -ACCAACACACAGTGGTGCTTCGATATTCAGTGGTGTCCCCGAAATCCTGCTGTCTTATCA -GCTGCTTCGTTTGATGGGCGTATCAGTGTTTATTCTATCATGGGAGGTAGCACAGATGGT -TTAAGACAGAAACAAGTTGACAAGCTTTCATCATCTTTTGGGAATCTTGATCCCTTTGGC -ACAGGACAGCCCCTTCCTCCGTTACAAATTCCACAGCAGACTGCTCAGCATAGTATAGTG -CTGCCTCTGAAGAAGCCGCCCAAGTGGATTCGAAGGCCTGTTGGTGCTTCTTTTTCATTT -GGAGGCAAACTGGTTACGTTTGAGAATGTCAGAATGCCTTCTCATCAGGGAGCTGAGCAG -CAGCAGCAGCAGCACCATGTGTTCATTAGTCAGGTTGTAACAGAAAAGGAGTTCCTCAGC -CGATCAGACCAACTTCAGCAGGCTGTGCAGTCACAAGGATTTATCAATTATTGCCAAAAA -AAAATTGATGCTTCTCAGACTGAATTTGAGAAAAATGTGTGGTCCTTTTTGAAGGTAAAC -TTTGAGGATGATTCTCGTGGAAAATACCTTGAACTTCTAGGATACAGAAAAGAAGATCTA -GGAAAGAAGCACATTAAAGAGGAAAAAGAAGAATCTGAATTTCTACCCTCATCTGGAGGA -ACATTTAATATCTCTGTCAGTGGGGACATTGATGGTTTAATTACTCAGGCTTTGCTGACG -GGCAATTTTGAGAGTGCTGTTGACCTTTGTTTACATGATAACCGCATGGCCGATGCCATT -ATATTGGCCATAGCAGGTGGACAAGAACTCTTGGCTCGAACCCAGAAAAAATACTTCGCA -AAATCCCAAAGCAAAATTACCAGGCTCATCACTGCAGTGGTGATGAAGAACTGGAAAGAG -ATTGTTGAGTCTTGTGATCTTAAAAATTGGAGAGAGGCTTTAGCTGCAGTATTGACTTAT -GCAAAGCCGGATGAATTTTCAGCCCTTTGTGATCTTTTGGGAACCAGGCTTGAAAATGAA -GGAGATAGCCTCCTGCAGACTCAAGCATGTCTCTGCTATATTTGTGCAGGGAATGTAGAG -AAATTAGTTGCATGTTGGACTAAAGCTCAAGATGGAAGCCACCCTTTGTCACTTCAGGAT -CTGATTGAGAAAGTTGTCATCCTGCGAAAAGCTGTGCAACTCACTCAAGCCATGGACACT -AGTACTGTAGGAGTTCTCTTGGCTGCGAAGATGAGTCAGTATGCCAATTTGTTGGCAGCT -CAGGGCAGTATTGCTGCAGCCTTGGCTTTTCTTCCTGACAACACCAACCAGCCAAATATC -ATGCAGCTTCGTGACAGACTTTGTAGAGCACAAGGAGAGCCTGTAGCAGGACATGAATCA -CCTAAAATTCCGTACGAGAAACAGCAGCTCCCCAAGGGCAGGCCTGGACCAGTTGCTGGC -CACCACCAGATGCCAAGAGTTCAAACTCAACAATATTATCCCCATGGAGAAAATCCTCCA -CCTCCGGGTTTCATAATGCATGGAAATGTTAATCCAAATGCTGCTGGTCAGCTTCCCACA -TCTCCAGGTCATATGCACACCCAGGTACCACCTTATCCACAGCCACAGCGTCCTCAGAAT -GGTTGGAATGACCCTCCAGCTTTGAACAGAGTACCCAAAAAGAAGAAGATGCCTGAAAAC -TTCATGCCTCCTGTTCCCATCACATCACCAATCATGAACCCGTTGGGTGACCCCCAGTCA -CAAATGCTGCAGCAACAGCCTTCAGCTCCAGTACCACTGTCAAGCCAGTCTTCATTCCCA -CAGCCACATCTTCCAGGTGGCCAGCCCTTCCATGGCGTACAGCAACCTCTTGGTCAAACA -GGCATGCCACCATCTTTTTCAAAGCCCAATATTGAAGGTGCCCCAGGGGCTCCTATTGGA -AATACCTTCCAGCATGTGCAGTCTTTGCCAACAAAAAAAATTACCAAGAAACCTATTCCA -GATGAGCACCTCATTCTAAAGACCACATTTGAGGATCTTATTCAGCGCTGCCTTTCTTCA -GCAACAGACCCTCAAACCAAGAGGAAGCTAGATGATGCCAGCAAACGTTTGGAGTTTCTG -TATGATAAACTTAGGGAACAGACACTTTCACCAACAATCACCAGTGGTTTACACAACATT -GCAAGGAGCATTGAAACTCGAAACTACTCAGAAGGATTGACCATGCATACCCACATAGTT -AGCACCAGCAACTTCAGTGAGACCTCTGCTTTCATGCCAGTTCTCAAAGTTGTTCTCACC -CAGGCCAATAAGCTGGGTGTCTAA ->ENST00000395310 havana:known chromosome:GRCh38:4:82818661:82891266:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCTCACAGGTACCACAAGTTGATTTGGGGGCCTTATAAAATGGAT -TCCAAAGGAGATGTCTCTGGAGTTCTGATTGCAGGTGGTGAAAATGGAAATATTATTCTC -TATGATCCTTCTAAAATTATAGCTGGAGACAAGGAAGTTGTGATTGCCCAGAATGACAAG -CATACTGGCCCAGTGAGAGCCTTGGATGTGAACATTTTCCAGACTAATCTGGTAGCTTCT -GGTGCTAATGAATCTGAAATCTACATATGGGATCTAAATAATTTTGCAACCCCAATGACA -CCAGGAGCCAAAACACAGCCGCCAGAAGATATCAGCTGCATTGCATGGAACAGACAAGTT -CAGCATATTTTAGCATCAGCCAGTCCCAGTGGCCGGGCCACTGTATGGGATCTTAGAAAA -AATGAGCCAATCATCAAAGTCAGTGACCATAGTAACAGAATGCATTGTTCTGGGTTGGCA -TGGCATCCTGATGTTGCTACTCAGATGGTCCTTGCCTCCGAGGATGACCGGTTACCAGTG -ATCCAGATGTGGGATCTTCGATTTGCTTCCTCTCCACTTCGTGTCCTGGAAAACCATGCC -AGGGGGATTTTGGCAATTGCTTGGAGCATGGCAGATCCTGAATTGTTACTGAGCTGTGGA -AAAGATGCTAAGATTCTCTGCTCCAATCCAAACACAGGAGAGGTGTTATATGAACTTCCC -ACCAACACACAGTGGTGCTTCGATATTCAGTGGTGTCCCCGAAATCCTGCTGTCTTATCA -GCTGCTTCGTTTGATGGGCGTATCAGTGTTTATTCTATCATGGGAGGTAGCACAGATGGT -TTAAGACAGAAACAAGTTGACAAGCTTTCATCATCTTTTGGGAATCTTGATCCCTTTGGC -ACAGGACAGCCCCTTCCTCCGTTACAAATTCCACAGCAGACTGCTCAGCATAGTATAGTG -CTGCCTCTGAAGAAGCCGCCCAAGTGGATTCGAAGGCCTGTTGGTGCTTCTTTTTCATTT -GGAGGCAAACTGGTTACGTTTGAGAATGTCAGAATGCCTTCTCATCAGGGAGCTGAGCAG -CAGCAGCAGCAGCACCATGTGTTCATTAGTCAGGTTGTAACAGAAAAGGAGTTCCTCAGC -CGATCAGACCAACTTCAGCAGGCTGTGCAGTCACAAGGATTTATCAATTATTGCCAAAAA -AAAATTGATGCTTCTCAGACTGAATTTGAGAAAAATGTGTGGTCCTTTTTGAAGGTAAAC -TTTGAGGATGATTCTCGTGGAAAATACCTTGAACTTCTAGGATACAGAAAAGAAGATCTA -GGAAAGAAGATTGCTTTGGCCTTGAACAAAGTGGATGGAGCCAATGTGGCTCTTAAAGAC -TCTGACCAAGTAGCACAGAGTGATGGGGAGGAGAGCCCTGCTGCTGAAGAGCAGCTCTTG -GGAGAGCACATTAAAGAGGAAAAAGAAGAATCTGAATTTCTACCCTCATCTGGAGGAACA -TTTAATATCTCTGTCAGTGGGGACATTGATGGTTTAATTACTCAGGCTTTGCTGACGGGC -AATTTTGAGAGTGCTGTTGACCTTTGTTTACATGATAACCGCATGGCCGATGCCATTATA -TTGGCCATAGCAGGTGGACAAGAACTCTTGGCTCGAACCCAGAAAAAATACTTCGCAAAA -TCCCAAAGCAAAATTACCAGGCTCATCACTGCAGTGGTGATGAAGAACTGGAAAGAGATT -GTTGAGTCTTGTGATCTTAAAAATTGGAGAGAGGCTTTAGCTGCAGTATTGACTTATGCA -AAGCCGGATGAATTTTCAGCCCTTTGTGATCTTTTGGGAACCAGGCTTGAAAATGAAGGA -GATAGCCTCCTGCAGACTCAAGCATGTCTCTGCTATATTTGTGCAGGGAATGTAGAGAAA -TTAGTTGCATGTTGGACTAAAGCTCAAGATGGAAGCCACCCTTTGTCACTTCAGGATCTG -ATTGAGAAAGTTGTCATCCTGCGAAAAGCTGTGCAACTCACTCAAGCCATGGACACTAGT -ACTGTAGGAGTTCTCTTGGCTGCGAAGATGAGTCAGTATGCCAATTTGTTGGCAGCTCAG -GGCAGTATTGCTGCAGCCTTGGCTTTTCTTCCTGACAACACCAACCAGCCAAATATCATG -CAGCTTCGTGACAGACTTTGTAGAGCACAAGGAGAGCCTGTAGCAGGACATGAATCACCT -AAAATTCCGTACGAGAAACAGCAGCTCCCCAAGGGCAGGCCTGGACCAGTTGCTGGCCAC -CACCAGATGCCAAGAGTTCAAACTCAACAATATTATCCCCATGGAGAAAATCCTCCACCT -CCGGGTTTCATAATGCATGGAAATGTTAATCCAAATGCTGCTGGTCAGCTTCCCACATCT -CCAGGTCATATGCACACCCAGGTACCACCTTATCCACAGCCACAGCCTTATCAACCAGCC -CAGCCGTATCCCTTCGGAACAGGGGGGTCAGCAATGTATCGACCTCAGCAGCCTGTTGCT -CCTCCTACTTCAAACGCTTACCCTAACACCCCTTACATATCTTCTGCTTCTTCCTATACT -GGGCAGTCTCAGCTGTACGCAGCACAGCACCAGGCCTCTTCACCTACCTCCAGCCCTGCT -ACTTCTTTCCCTCCTCCCCCTTCCTCTGGAGCATCCTTCCAGCATGGCGGACCAGGAGCT -CCACCATCATCTTCAGCTTATGCACTGCCTCCTGGAACAACAGGTACACTGCCTGCTGCC -AGTGAGCTGCCTGCGTCCCAAAGAACAGGTCCTCAGAATGGTTGGAATGACCCTCCAGCT -TTGAACAGAGTACCCAAAAAGAAGAAGATGCCTGAAAACTTCATGCCTCCTGTTCCCATC -ACATCACCAATCATGAACCCGTTGGGTGACCCCCAGTCACAAATGCTGCAGCAACAGCCT -TCAGCTCCAGTACCACTGTCAAGCCAGTCTTCATTCCCACAGCCACATCTTCCAGGTGGC -CAGCCCTTCCATGGCGTACAGCAACCTCTTGGTCAAACAGGCATGCCACCATCTTTTTCA -AAGCCCAATATTGAAGGTGCCCCAGGGGCTCCTATTGGAAATACCTTCCAGCATGTGCAG -TCTTTGCCAACAAAAAAAATTACCAAGAAACCTATTCCAGATGAGCACCTCATTCTAAAG -ACCACATTTGAGGATCTTATTCAGCGCTGCCTTTCTTCAGCAACAGACCCTCAAACCAAG -AGGAAGCTAGATGATGCCAGCAAACGTTTGGAGTTTCTGTATGATAAACTTAGGGAACAG -ACACTTTCACCAACAATCACCAGTGGTTTACACAACATTGCAAGGAGCATTGAAACTCGA -AACTACTCAGAAGGATTGACCATGCATACCCACATAGTTAGCACCAGCAACTTCAGTGAG -ACCTCTGCTTTCATGCCAGTTCTCAAAGTTGTTCTCACCCAGGCCAATAAGCTGGGTGTC -TAA ->ENST00000443462 ensembl_havana_transcript:known chromosome:GRCh38:4:82818662:82891178:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGCTGGGAGAGTCCGACGAGCGCTGCACTAACGCAGGATCCGGCTGCCGAAGGTCCTCG -CCAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAATGCTTCCCTTGAGATA -TTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGTGCCACATTCTCCTCT -TCTCACAGGTACCACAAGTTGATTTGGGGGCCTTATAAAATGGATTCCAAAGGAGATGTC -TCTGGAGTTCTGATTGCAGGTGGTGAAAATGGAAATATTATTCTCTATGATCCTTCTAAA -ATTATAGCTGGAGACAAGGAAGTTGTGATTGCCCAGAATGACAAGCATACTGGCCCAGTG -AGAGCCTTGGATGTGAACATTTTCCAGACTAATCTGGTAGCTTCTGGTGCTAATGAATCT -GAAATCTACATATGGGATCTAAATAATTTTGCAACCCCAATGACACCAGGAGCCAAAACA -CAGCCGCCAGAAGATATCAGCTGCATTGCATGGAACAGACAAGTTCAGCATATTTTAGCA -TCAGCCAGTCCCAGTGGCCGGGCCACTGTATGGGATCTTAGAAAAAATGAGCCAATCATC -AAAGTCAGTGACCATAGTAACAGAATGCATTGTTCTGGGTTGGCATGGCATCCTGATGTT -GCTACTCAGATGGTCCTTGCCTCCGAGGATGACCGGTTACCAGTGATCCAGATGTGGGAT -CTTCGATTTGCTTCCTCTCCACTTCGTGTCCTGGAAAACCATGCCAGGGGGATTTTGGCA -ATTGCTTGGAGCATGGCAGATCCTGAATTGTTACTGAGCTGTGGAAAAGATGCTAAGATT -CTCTGCTCCAATCCAAACACAGGAGAGGTGTTATATGAACTTCCCACCAACACACAGTGG -TGCTTCGATATTCAGTGGTGTCCCCGAAATCCTGCTGTCTTATCAGCTGCTTCGTTTGAT -GGGCGTATCAGTGTTTATTCTATCATGGGAGGTAGCACAGATGGTTTAAGACAGAAACAA -GTTGACAAGCTTTCATCATCTTTTGGGAATCTTGATCCCTTTGGCACAGGACAGCCCCTT -CCTCCGTTACAAATTCCACAGCAGACTGCTCAGCATAGTATAGTGCTGCCTCTGAAGAAG -CCGCCCAAGTGGATTCGAAGGCCTGTTGGTGCTTCTTTTTCATTTGGAGGCAAACTGGTT -ACGTTTGAGAATGTCAGAATGCCTTCTCATCAGGGAGCTGAGCAGCAGCAGCAGCAGCAC -CATGTGTTCATTAGTCAGGTTGTAACAGAAAAGGAGTTCCTCAGCCGATCAGACCAACTT -CAGCAGGCTGTGCAGTCACAAGGATTTATCAATTATTGCCAAAAAAAAATTGATGCTTCT -CAGACTGAATTTGAGAAAAATGTGTGGTCCTTTTTGAAGGTAAACTTTGAGGATGATTCT -CGTGGAAAATACCTTGAACTTCTAGGATACAGAAAAGAAGATCTAGGAAAGAAGATTGCT -TTGGCCTTGAACAAAGTGGATGGAGCCAATGTGGCTCTTAAAGACTCTGACCAAGTAGCA -CAGAGTGATGGGGAGGAGAGCCCTGCTGCTGAAGAGCAGCTCTTGGGAGAGCACATTAAA -GAGGAAAAAGAAGAATCTGAATTTCTACCCTCATCTGGAGGAACATTTAATATCTCTGTC -AGTGGGGACATTGATGGTTTAATTACTCAGGCTTTGCTGACGGGCAATTTTGAGAGTGCT -GTTGACCTTTGTTTACATGATAACCGCATGGCCGATGCCATTATATTGGCCATAGCAGGT -GGACAAGAACTCTTGGCTCGAACCCAGAAAAAATACTTCGCAAAATCCCAAAGCAAAATT -ACCAGGCTCATCACTGCAGTGGTGATGAAGAACTGGAAAGAGATTGTTGAGTCTTGTGAT -CTTAAAAATTGGAGAGAGGCTTTAGCTGCAGTATTGACTTATGCAAAGCCGGATGAATTT -TCAGCCCTTTGTGATCTTTTGGGAACCAGGCTTGAAAATGAAGGAGATAGCCTCCTGCAG -ACTCAAGCATGTCTCTGCTATATTTGTGCAGGGAATGTAGAGAAATTAGTTGCATGTTGG -ACTAAAGCTCAAGATGGAAGCCACCCTTTGTCACTTCAGGATCTGATTGAGAAAGTTGTC -ATCCTGCGAAAAGCTGTGCAACTCACTCAAGCCATGGACACTAGTACTGTAGGAGTTCTC -TTGGCTGCGAAGATGAGTCAGTATGCCAATTTGTTGGCAGCTCAGGGCAGTATTGCTGCA -GCCTTGGCTTTTCTTCCTGACAACACCAACCAGCCAAATATCATGCAGCTTCGTGACAGA -CTTTGTAGAGCACAAGGAGAGCCTGTAGCAGGACATGAATCACCTAAAATTCCGTACGAG -AAACAGCAGCTCCCCAAGGGCAGGCCTGGACCAGTTGCTGGCCACCACCAGATGCCAAGA -GTTCAAACTCAACAATATTATCCCCATGGAGAAAATCCTCCACCTCCGGGTTTCATAATG -CATGGAAATGTTAATCCAAATGCTGCTGGTCAGCTTCCCACATCTCCAGGTCATATGCAC -ACCCAGGTACCACCTTATCCACAGCCACAGCCTTATCAACCAGCCCAGCCGTATCCCTTC -GGAACAGGGGGGTCAGCAATGTATCGACCTCAGCAGCCTGTTGCTCCTCCTACTTCAAAC -GCTTACCCTAACACCCCTTACATATCTTCTGCTTCTTCCTATACTGGGCAGTCTCAGCTG -TACGCAGCACAGCACCAGGCCTCTTCACCTACCTCCAGCCCTGCTACTTCTTTCCCTCCT -CCCCCTTCCTCTGGAGCATCCTTCCAGCATGGCGGACCAGGAGCTCCACCATCATCTTCA -GCTTATGCACTGCCTCCTGGAACAACAGGTCCTCAGAATGGTTGGAATGACCCTCCAGCT -TTGAACAGAGTACCCAAAAAGAAGAAGATGCCTGAAAACTTCATGCCTCCTGTTCCCATC -ACATCACCAATCATGAACCCGTTGGGTGACCCCCAGTCACAAATGCTGCAGCAACAGCCT -TCAGCTCCAGTACCACTGTCAAGCCAGTCTTCATTCCCACAGCCACATCTTCCAGGTGGC -CAGCCCTTCCATGGCGTACAGCAACCTCTTGGTCAAACAGGCATGCCACCATCTTTTTCA -AAGCCCAATATTGAAGGTGCCCCAGGGGCTCCTATTGGAAATACCTTCCAGCATGTGCAG -TCTTTGCCAACAAAAAAAATTACCAAGAAACCTATTCCAGATGAGCACCTCATTCTAAAG -ACCACATTTGAGGATCTTATTCAGCGCTGCCTTTCTTCAGCAACAGACCCTCAAACCAAG -AGGAAGCTAGATGATGCCAGCAAACGTTTGGAGTTTCTGTATGATAAACTTAGGGAACAG -ACACTTTCACCAACAATCACCAGTGGTTTACACAACATTGCAAGGAGCATTGAAACTCGA -AACTACTCAGAAGGATTGACCATGCATACCCACATAGTTAGCACCAGCAACTTCAGTGAG -ACCTCTGCTTTCATGCCAGTTCTCAAAGTTGTTCTCACCCAGGCCAATAAGCTGGGTGTC -TAA ->ENST00000509142 havana:known chromosome:GRCh38:4:82818662:82891214:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCTCACAGGTACCACAAGTTGATTTGGGGGCCTTATAAAATGGAT -TCCAAAGGAGATGTCTCTGGAGTTCTGATTGCAGGTGGTGAAAATGGAAATATTATTCTC -TATGATCCTTCTAAAATTATAGCTGGAGACAAGGAAGTTGTGATTGCCCAGAATGACAAG -CATACTGGCCCAGTGAGAGCCTTGGATGTGAACATTTTCCAGACTAATCTGGTAGCTTCT -GGTGCTAATGAATCTGAAATCTACATATGGGATCTAAATAATTTTGCAACCCCAATGACA -CCAGGAGCCAAAACACAGCCGCCAGAAGATATCAGCTGCATTGCATGGAACAGACAAGTT -CAGCATATTTTAGCATCAGCCAGTCCCAGTGGCCGGGCCACTGTATGGGATCTTAGAAAA -AATGAGCCAATCATCAAAGTCAGTGACCATAGTAACAGAATGCATTGTTCTGGGTTGGCA -TGGCATCCTGATGTTGCTACTCAGATGGTCCTTGCCTCCGAGGATGACCGGTTACCAGTG -ATCCAGATGTGGGATCTTCGATTTGCTTCCTCTCCACTTCGTGTCCTGGAAAACCATGCC -AGGGGGATTTTGGCAATTGCTTGGAGCATGGCAGATCCTGAATTGTTACTGAGCTGTGGA -AAAGATGCTAAGATTCTCTGCTCCAATCCAAACACAGGAGAGGTGTTATATGAACTTCCC -ACCAACACACAGTGGTGCTTCGATATTCAGTGGTGTCCCCGAAATCCTGCTGTCTTATCA -GCTGCTTCGTTTGATGGGCGTATCAGTGTTTATTCTATCATGGGAGGTAGCACAGATGGT -TTAAGACAGAAACAAGTTGACAAGCTTTCATCATCTTTTGGGAATCTTGATCCCTTTGGC -ACAGGACAGCCCCTTCCTCCGTTACAAATTCCACAGCAGACTGCTCAGCATAGTATAGTG -CTGCCTCTGAAGAAGCCGCCCAAGTGGATTCGAAGGCCTGTTGGTGCTTCTTTTTCATTT -GGAGGCAAACTGGTTACGTTTGAGAATGTCAGAATGCCTTCTCATCAGGGAGCTGAGCAG -CAGCAGCAGCAGCACCATGTGTTCATTAGTCAGGTTGTAACAGAAAAGGAGTTCCTCAGC -CGATCAGACCAACTTCAGCAGGCTGTGCAGTCACAAGGATTTATCAATTATTGCCAAAAA -AAAATTGATGCTTCTCAGACTGAATTTGAGAAAAATGTGTGGTCCTTTTTGAAGGTAAAC -TTTGAGGATGATTCTCGTGGAAAATACCTTGAACTTCTAGGATACAGAAAAGAAGATCTA -GGAAAGAAGATTGCTTTGGCCTTGAACAAAGTGGATGGAGCCAATGTGGCTCTTAAAGAC -TCTGACCAAGTAGCACAGAGTGATGGGGAGGAGAGCCCTGCTGCTGAAGAGCAGCTCTTG -GGAGAGCACATTAAAGAGGAAAAAGAAGAATCTGAATTTCTACCCTCATCTGGAGGAACA -TTTAATATCTCTGTCAGTGGGGACATTGATGGTTTAATTACTCAGGCTTTGCTGACGGGC -AATTTTGAGAGTGCTGTTGACCTTTGTTTACATGATAACCGCATGGCCGATGCCATTATA -TTGGCCATAGCAGGTGGACAAGAACTCTTGGCTCGAACCCAGAAAAAATACTTCGCAAAA -TCCCAAAGCAAAATTACCAGGCTCATCACTGCAGTGGTGATGAAGAACTGGAAAGAGATT -GTTGAGTCTTGTGATCTTAAAAATTGGAGAGAGGCTTTAGCTGCAGTATTGACTTATGCA -AAGCCGGATGAATTTTCAGCCCTTTGTGATCTTTTGGGAACCAGGCTTGAAAATGAAGGA -GATAGCCTCCTGCAGACTCAAGCATGTCTCTGCTATATTTGTGCAGGGAATGTAGAGAAA -TTAGTTGCATGTTGGACTAAAGCTCAAGATGGAAGCCACCCTTTGTCACTTCAGGATCTG -ATTGAGAAAGTTGTCATCCTGCGAAAAGCTGTGCAACTCACTCAAGCCATGGACACTAGT -ACTGTAGGAGTTCTCTTGGCTGCGAAGATGAGTCAGTATGCCAATTTGTTGGCAGCTCAG -GGCAGTATTGCTGCAGCCTTGGCTTTTCTTCCTGACAACACCAACCAGCCAAATATCATG -CAGCTTCGTGACAGACTTTGTAGAGCACAAGGAGAGCCTGTAGCAGGACATGAATCACCT -AAAATTCCGTACGAGAAACAGCAGCTCCCCAAGGGCAGGCCTGGACCAGTTGCTGGCCAC -CACCAGATGCCAAGAGTTCAAACTCAACAATATTATCCCCATGGAGAAAATCCTCCACCT -CCGGGTTTCATAATGCATGGAAATGTTAATCCAAATGCTGCTGGTCAGCTTCCCACATCT -CCAGGTCATATGCACACCCAGGTACCACCTTATCCACAGCCACAGCGTCCTCAGAATGGT -TGGAATGACCCTCCAGCTTTGAACAGAGTACCCAAAAAGAAGAAGATGCCTGAAAACTTC -ATGCCTCCTGTTCCCATCACATCACCAATCATGAACCCGTTGGGTGACCCCCAGTCACAA -ATGCTGCAGCAACAGCCTTCAGCTCCAGTACCACTGTCAAGCCAGTCTTCATTCCCACAG -CCACATCTTCCAGGTGGCCAGCCCTTCCATGGCGTACAGCAACCTCTTGGTCAAACAGGC -ATGCCACCATCTTTTTCAAAGCCCAATATTGAAGGTGCCCCAGGGGCTCCTATTGGAAAT -ACCTTCCAGCATGTGCAGTCTTTGCCAACAAAAAAAATTACCAAGAAACCTATTCCAGAT -GAGCACCTCATTCTAAAGACCACATTTGAGGATCTTATTCAGCGCTGCCTTTCTTCAGCA -ACAGACCCTCAAACCAAGAGGAAGCTAGATGATGCCAGCAAACGTTTGGAGTTTCTGTAT -GATAAACTTAGGGAACAGACACTTTCACCAACAATCACCAGTGGTTTACACAACATTGCA -AGGAGCATTGAAACTCGAAACTACTCAGAAGGATTGACCATGCATACCCACATAGTTAGC -ACCAGCAACTTCAGTGAGACCTCTGCTTTCATGCCAGTTCTCAAAGTTGTTCTCACCCAG -GCCAATAAGCTGGGTGTCTAA ->ENST00000505472 havana:known chromosome:GRCh38:4:82818672:82881937:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCTCACAGGTACCACAAGTTGATTTGGGGGCCTTATAAAATGGAT -TCCAAAGGAGATGTCTCTGGAGTTCTGATTGCAGGTGGTGAAAATGGAAATATTATTCTC -TATGATCCTTCTAAAATTATAGCTGGAGACAAGGAAGTTGTGATTGCCCAGAATGACAAG -CATACTGGCCCAGTGAGAGCCTTGGATGTGAACATTTTCCAGACTAATCTGGTAGCTTCT -GGTGCTAATGAATCTGAAATCTACATATGGGATCTAAATAATTTTGCAACCCCAATGACA -CCAGGAGCCAAAACACAGCCGCCAGAAGATATCAGCTGCATTGCATGGAACAGACAAGTT -CAGCATATTTTAGCATCAGCCAGTCCCAGTGGCCGGGCCACTGTATGGGATCTTAGAAAA -AATGAGCCAATCATCAAAGTCAGTGACCATAGTAACAGAATGCATTGTTCTGGGTTGGCA -TGGCATCCTGATGTTGCTACTCAGATGGTCCTTGCCTCCGAGGATGACCGGTTACCAGTG -ATCCAGATGTGGGATCTTCGATTTGCTTCCTCTCCACTTCGTGTCCTGGAAAACCATGCC -AGGGGGATTTTGGCAATTGCTTGGAGCATGGCAGATCCTGAATTGTTACTGAGCTGTGGA -AAAGATGCTAAGATTCTCTGCTCCAATCCAAACACAGGAGAGGTGTTATATGAACTTCCC -ACCAACACACAGTGGTGCTTCGATATTCAGTGGTGTCCCCGAAATCCTGCTGTCTTATCA -GCTGCTTCGTTTGATGGGCGTATCAGTGTTTATTCTATCATGGGAGGTAGCACAGATGGT -TTAAGACAGAAACAAGTTGACAAGCTTTCATCATCTTTTGGGAATCTTGATCCCTTTGGC -ACAGGACAGCCCCTTCCTCCGTTACAAATTCCACAGCAGACTGCTCAGCATAGTATAGTG -CTGCCTCTGAAGAAGCCGCCCAAGTGGATTCGAAGGCCTGTTGGTGCTTCTTTTTCATTT -GGAGGCAAACTGGTTACGTTTGAGAATGTCAGAATGCCTTCTCATCAGGGAGCTGAGCAG -CAGCAGCAGCAGCACCATGTGTTCATTAGTCAGGTTGTAACAGAAAAGGAGTTCCTCAGC -CGATCAGACCAACTTCAGCAGGCTGTGCAGTCACAAGGATTTATCAATTATTGCCAAAAA -AAAATTGATGCTTCTCAGACTGAATTTGAGAAAAATGTGTGGTCCTTTTTGAAGGTAAAC -TTTGAGGATGATTCTCGTGGAAAATACCTTGAACTTCTAGGATACAGAAAAGAAGATCTA -GGAAAGAAGATTGCTTTGGCCTTGAACAAAGTGGATGGAGCCAATGTGGCTCTTAAAGAC -TCTGACCAAGTAGCACAGAGTGATGGGGAGGAGAGCCCTGCTGCTGAAGAGCAGCTCTTG -GGAGAGCACATTAAAGAGGAAAAAGAAGAATCTGAATTTCTACCCTCATCTGGAGGAACA -TTTAATATCTCTGTCAGTGGGGACATTGATGGTTTAATTACTCAGGCTTTGCTGACGGGC -AATTTTGAGAGTGCTGTTGACCTTTGTTTACATGATAACCGCATGGCCGATGCCATTATA -TTGGCCATAGCAGGTGGACAAGAACTCTTGGCTCGAACCCAGAAAAAATACTTCGCAAAA -TCCCAAAGCAAAATTACCAGGCTCATCACTGCAGTGGTGATGAAGAACTGGAAAGAGATT -GTTGAGTCTTGTGATCTTAAAAATTGGAGAGAGGCTTTAGCTGCAGTATTGACTTATGCA -AAGCCGGATGAATTTTCAGCCCTTTGTGATCTTTTGGGAACCAGGCTTGAAAATGAAGGA -GATAGCCTCCTGCAGACTCAAGCATGTCTCTGCTATATTTGTGCAGGGAATGTAGAGAAA -TTAGTTGCATGTTGGACTAAAGCTCAAGATGGAAGCCACCCTTTGTCACTTCAGGATCTG -ATTGAGAAAGTTGTCATCCTGCGAAAAGCTGTGCAACTCACTCAAGCCATGGACACTAGT -ACTGTAGGAGTTCTCTTGGCTGCGAAGATGAGTCAGTATGCCAATTTGTTGGCAGCTCAG -GGCAGTATTGCTGCAGCCTTGGCTTTTCTTCCTGACAACACCAACCAGCCAAATATCATG -CAGCTTCGTGACAGACTTTGTAGAGCACAAGGAGAGCCTGTAGCAGGACATGAATCACCT -AAAATTCCGTACGAGAAACAGCAGCTCCCCAAGGGCAGGCCTGGACCAGTTGCTGGCCAC -CACCAGATGCCAAGAGTTCAAACTCAACAATATTATCCCCATGTTAGAATTGCCCCTACT -GTCACTACCTGGAGTAACAAAACTCCTACTGCCCTTCCCAGCCATCCACCTGCAGCCTCT -CCCTCTGACACACAGGGAGAAAATCCTCCACCTCCGGGTTTCATAATGCATGGAAATGTT -AATCCAAATGCTGCTGGTCAGCTTCCCACATCTCCAGGTCATATGCACACCCAGGTACCA -CCTTATCCACAGCCACAGCCTTATCAACCAGCCCAGCCGTATCCCTTCGGAACAGGGGGG -TCAGCAATGTATCGACCTCAGCAGCCTGTTGCTCCTCCTACTTCAAACGCTTACCCTAAC -ACCCCTTACATATCTTCTGCTTCTTCCTATACTGGGCAGTCTCAGCTGTACGCAGCACAG -CACCAGGCCTCTTCACCTACCTCCAGCCCTGCTACTTCTTTCCCTCCTCCCCCTTCCTCT -GGAGCATCCTTCCAGCATGGCGGACCAGGAGCTCCACCATCATCTTCAGCTTATGCACTG -CCTCCTGGAACAACAGGTACACTGCCTGCTGCCAGTGAGCTGCCTGCGTCCCAAAGAACA -GGTCCTCAGAATGGTTGGAATGACCCTCCAGCTTTGAACAGAGTACCCAAAAAGAAGAAG -ATGCCTGAAAACTTCATGCCTCCTGTTCCCATCACATCACCAATCATGAACCCGTTGGGT -GACCCCCAGTCACAAATGCTGCAGCAACAGCCTTCAGCTCCAGTACCACTGTCAAGCCAG -TCTTCATTCCCACAGCCACATCTTCCAGGTGGCCAGCCCTTCCATGGCGTACAGCAACCT -CTTGGTCAAACAGGCATGCCACCATCTTTTTCAAAGCCCAATATTGAAGGTGCCCCAGGG -GCTCCTATTGGAAATACCTTCCAGCATGTGCAGTCTTTGCCAACAAAAAAAATTACCAAG -AAACCTATTCCAGATGAGCACCTCATTCTAAAGACCACATTTGAGGATCTTATTCAGCGC -TGCCTTTCTTCAGCAACAGACCCTCAAACCAAGAGGAAGCTAGATGATGCCAGCAAACGT -TTGGAGTTTCTGTATGATAAACTTAGGGAACAGACACTTTCACCAACAATCACCAGTGGT -TTACACAACATTGCAAGGAGCATTGAAACTCGAAACTACTCAGAAGGATTGACCATGCAT -ACCCACATAGTTAGCACCAGCAACTTCAGTGAGACCTCTGCTTTCATGCCAGTTCTCAAA -GTTGTTCTCACCCAGGCCAATAAGCTGGGTGTCTAA ->ENST00000500777 havana:known chromosome:GRCh38:4:82818672:82881940:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCTCACAGGTACCACAAGTTGATTTGGGGGCCTTATAAAATGGAT -TCCAAAGGAGATGTCTCTGGAGTTCTGATTGCAGGTGGTGAAAATGGAAATATTATTCTC -TATGATCCTTCTAAAATTATAGCTGGAGACAAGGAAGTTGTGATTGCCCAGAATGACAAG -CATACTGGCCCAGTGAGAGCCTTGGATGTGAACATTTTCCAGACTAATCTGGTAGCTTCT -GGTGCTAATGAATCTGAAATCTACATATGGGATCTAAATAATTTTGCAACCCCAATGACA -CCAGGAGCCAAAACACAGCCGCCAGAAGATATCAGCTGCATTGCATGGAACAGACAAGTT -CAGCATATTTTAGCATCAGCCAGTCCCAGTGGCCGGGCCACTGTATGGGATCTTAGAAAA -AATGAGCCAATCATCAAAGTCAGTGACCATAGTAACAGAATGCATTGTTCTGGGTTGGCA -TGGCATCCTGATGTTGCTACTCAGATGGTCCTTGCCTCCGAGGATGACCGGTTACCAGTG -ATCCAGATGTGGGATCTTCGATTTGCTTCCTCTCCACTTCGTGTCCTGGAAAACCATGCC -AGGGGGATTTTGGCAATTGCTTGGAGCATGGCAGATCCTGAATTGTTACTGAGCTGTGGA -AAAGATGCTAAGATTCTCTGCTCCAATCCAAACACAGGAGAGGTGTTATATGAACTTCCC -ACCAACACACAGTGGTGCTTCGATATTCAGTGGTGTCCCCGAAATCCTGCTGTCTTATCA -GCTGCTTCGTTTGATGGGCGTATCAGTGTTTATTCTATCATGGGAGGTAGCACAGATGGT -TTAAGACAGAAACAAGTTGACAAGCTTTCATCATCTTTTGGGAATCTTGATCCCTTTGGC -ACAGGACAGCCCCTTCCTCCGTTACAAATTCCACAGCAGACTGCTCAGCATAGTATAGTG -CTGCCTCTGAAGAAGCCGCCCAAGTGGATTCGAAGGCCTGTTGGTGCTTCTTTTTCATTT -GGAGGCAAACTGGTTACGTTTGAGAATGTCAGAATGCCTTCTCATCAGGGAGCTGAGCAG -CAGCAGCAGCAGCACCATGTGTTCATTAGTCAGGTTGTAACAGAAAAGGAGTTCCTCAGC -CGATCAGACCAACTTCAGCAGGCTGTGCAGTCACAAGGATTTATCAATTATTGCCAAAAA -AAAATTGATGCTTCTCAGACTGAATTTGAGAAAAATGTGTGGTCCTTTTTGAAGGTAAAC -TTTGAGGATGATTCTCGTGGAAAATACCTTGAACTTCTAGGATACAGAAAAGAAGATCTA -GGAAAGAAGCACATTAAAGAGGAAAAAGAAGAATCTGAATTTCTACCCTCATCTGGAGGA -ACATTTAATATCTCTGTCAGTGGGGACATTGATGGTTTAATTACTCAGGCTTTGCTGACG -GGCAATTTTGAGAGTGCTGTTGACCTTTGTTTACATGATAACCGCATGGCCGATGCCATT -ATATTGGCCATAGCAGGTGGACAAGAACTCTTGGCTCGAACCCAGAAAAAATACTTCGCA -AAATCCCAAAGCAAAATTACCAGGCTCATCACTGCAGTGGTGATGAAGAACTGGAAAGAG -ATTGTTGAGTCTTGTGATCTTAAAAATTGGAGAGAGGCTTTAGCTGCAGTATTGACTTAT -GCAAAGCCGGATGAATTTTCAGCCCTTTGTGATCTTTTGGGAACCAGGCTTGAAAATGAA -GGAGATAGCCTCCTGCAGACTCAAGCATGTCTCTGCTATATTTGTGCAGGGAATGTAGAG -AAATTAGTTGCATGTTGGACTAAAGCTCAAGATGGAAGCCACCCTTTGTCACTTCAGGAT -CTGATTGAGAAAGTTGTCATCCTGCGAAAAGCTGTGCAACTCACTCAAGCCATGGACACT -AGTACTGTAGGAGTTCTCTTGGCTGCGAAGATGAGTCAGTATGCCAATTTGTTGGCAGCT -CAGGGCAGTATTGCTGCAGCCTTGGCTTTTCTTCCTGACAACACCAACCAGCCAAATATC -ATGCAGCTTCGTGACAGACTTTGTAGAGCACAAGGAGAGCCTGTAGCAGGACATGAATCA -CCTAAAATTCCGTACGAGAAACAGCAGCTCCCCAAGGGCAGGCCTGGACCAGTTGCTGGC -CACCACCAGATGCCAAGAGTTCAAACTCAACAATATTATCCCCATGGAGAAAATCCTCCA -CCTCCGGGTTTCATAATGCATGGAAATGTTAATCCAAATGCTGCTGGTCAGCTTCCCACA -TCTCCAGGTCATATGCACACCCAGGTACCACCTTATCCACAGCCACAGCGTCCTCAGAAT -GGTTGGAATGACCCTCCAGCTTTGAACAGAGTACCCAAAAAGAAGAAGATGCCTGAAAAC -TTCATGCCTCCTGTTCCCATCACATCACCAATCATGAACCCGTTGGGTGACCCCCAGTCA -CAAATGCTGCAGCAACAGCCTTCAGCTCCAGTACCACTGTCAAGCCAGTCTTCATTCCCA -CAGCCACATCTTCCAGGTGGCCAGCCCTTCCATGGCGTACAGCAACCTCTTGGTCAAACA -GGCATGCCACCATCTTTTTCAAAGCCCAATATTGAAGGTGCCCCAGGGGCTCCTATTGGA -AATACCTTCCAGCATGTGCAGTCTTTGCCAACAAAAAAAATTACCAAGAAACCTATTCCA -GATGAGCACCTCATTCTAAAGACCACATTTGAGGATCTTATTCAGCGCTGCCTTTCTTCA -GCAACAGACCCTCAAACCAAGAGGAAGCTAGATGATGCCAGCAAACGTTTGGAGTTTCTG -TATGATAAACTTAGGGAACAGACACTTTCACCAACAATCACCAGTGGTTTACACAACATT -GCAAGGAGCATTGAAACTCGAAACTACTCAGAAGGATTGACCATGCATACCCACATAGTT -AGCACCAGCAACTTCAGTGAGACCTCTGCTTTCATGCCAGTTCTCAAAGTTGTTCTCACC -CAGGCCAATAAGCTGGGTGTCTAA ->ENST00000508502 havana:known chromosome:GRCh38:4:82819011:82891203:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCTCACAGGTACCACAAGTTGATTTGGGGGCCTTATAAAATGGAT -TCCAAAGGAGATGTCTCTGGAGTTCTGATTGCAGGTGGTGAAAATGGAAATATTATTCTC -TATGATCCTTCTAAAATTATAGCTGGAGACAAGGAAGTTGTGATTGCCCAGAATGACAAG -CATACTGGCCCAGTGAGAGCCTTGGATGTGAACATTTTCCAGACTAATCTGGTAGCTTCT -GGTGCTAATGAATCTGAAATCTACATATGGGATCTAAATAATTTTGCAACCCCAATGACA -CCAGGAGCCAAAACACAGCCGCCAGAAGATATCAGCTGCATTGCATGGAACAGACAAGTT -CAGCATATTTTAGCATCAGCCAGTCCCAGTGGCCGGGCCACTGTATGGGATCTTAGAAAA -AATGAGCCAATCATCAAAGTCAGTGACCATAGTAACAGAATGCATTGTTCTGGGTTGGCA -TGGCATCCTGATGTTGCTACTCAGATGGTCCTTGCCTCCGAGGATGACCGGTTACCAGTG -ATCCAGATGTGGGATCTTCGATTTGCTTCCTCTCCACTTCGTGTCCTGGAAAACCATGCC -AGGGGGATTTTGGCAATTGCTTGGAGCATGGCAGATCCTGAATTGTTACTGAGCTGTGGA -AAAGATGCTAAGATTCTCTGCTCCAATCCAAACACAGGAGAGGTGTTATATGAACTTCCC -ACCAACACACAGTGGTGCTTCGATATTCAGTGGTGTCCCCGAAATCCTGCTGTCTTATCA -GCTGCTTCGTTTGATGGGCGTATCAGTGTTTATTCTATCATGGGAGGTAGCACAGATGGT -TTAAGACAGAAACAAGTTGACAAGCTTTCATCATCTTTTGGGAATCTTGATCCCTTTGGC -ACAGGACAGCCCCTTCCTCCGTTACAAATTCCACAGCAGACTGCTCAGCATAGTATAGTG -CTGCCTCTGAAGAAGCCGCCCAAGTGGATTCGAAGGCCTGTTGGTGCTTCTTTTTCATTT -GGAGGCAAACTGGTTACGTTTGAGAATGTCAGAATGCCTTCTCATCAGGGAGCTGAGCAG -CAGCAGCAGCAGCACCATGTGTTCATTAGTCAGGTTGTAACAGAAAAGGAGTTCCTCAGC -CGATCAGACCAACTTCAGCAGGCTGTGCAGTCACAAGGATTTATCAATTATTGCCAAAAA -AAAATTGATGCTTCTCAGACTGAATTTGAGAAAAATGTGTGGTCCTTTTTGAAGGTAAAC -TTTGAGGATGATTCTCGTGGAAAATACCTTGAACTTCTAGGATACAGAAAAGAAGATCTA -GGAAAGAAGATTGCTTTGGCCTTGAACAAAGTGGATGGAGCCAATGTGGCTCTTAAAGAC -TCTGACCAAGTAGCACAGAGTGATGGGGAGGAGAGCCCTGCTGCTGAAGAGCAGCTCTTG -GGAGAGCACATTAAAGAGGAAAAAGAAGAATCTGAATTTCTACCCTCATCTGGAGGAACA -TTTAATATCTCTGTCAGTGGGGACATTGATGGTTTAATTACTCAGGCTTTGCTGACGGGC -AATTTTGAGAGTGCTGTTGACCTTTGTTTACATGATAACCGCATGGCCGATGCCATTATA -TTGGCCATAGCAGGTGGACAAGAACTCTTGGCTCGAACCCAGAAAAAATACTTCGCAAAA -TCCCAAAGCAAAATTACCAGGCTCATCACTGCAGTGGTGATGAAGAACTGGAAAGAGATT -GTTGAGTCTTGTGATCTTAAAAATTGGAGAGAGGCTTTAGCTGCAGTATTGACTTATGCA -AAGCCGGATGAATTTTCAGCCCTTTGTGATCTTTTGGGAACCAGGCTTGAAAATGAAGGA -GATAGCCTCCTGCAGACTCAAGCATGTCTCTGCTATATTTGTGCAGGGAATGTAGAGAAA -TTAGTTGCATGTTGGACTAAAGCTCAAGATGGAAGCCACCCTTTGTCACTTCAGGATCTG -ATTGAGAAAGTTGTCATCCTGCGAAAAGCTGTGCAACTCACTCAAGCCATGGACACTAGT -ACTGTAGGAGTTCTCTTGGCTGCGAAGATGAGTCAGTATGCCAATTTGTTGGCAGCTCAG -GGCAGTATTGCTGCAGCCTTGGCTTTTCTTCCTGACAACACCAACCAGCCAAATATCATG -CAGCTTCGTGACAGACTTTGTAGAGCACAAGGAGAGCCTGTAGCAGGACATGAATCACCT -AAAATTCCGTACGAGAAACAGCAGCTCCCCAAGGGCAGGCCTGGACCAGTTGCTGGCCAC -CACCAGATGCCAAGAGTTCAAACTCAACAATATTATCCCCATGGAGAAAATCCTCCACCT -CCGGGTTTCATAATGCATGGAAATGTTAATCCAAATGCTGCTGGTCAGCTTCCCACATCT -CCAGGTCATATGCACACCCAGGTACCACCTTATCCACAGCCACAGCCTTATCAACCAGCC -CAGCCGTATCCCTTCGGAACAGGGGGGTCAGCAATGTATCGACCTCAGCAGCCTGTTGCT -CCTCCTACTTCAAACGCTTACCCTAACACCCCTTACATATCTTCTGCTTCTTCCTATACT -GGGCAGTCTCAGCTGTACGCAGCACAGCACCAGGCCTCTTCACCTACCTCCAGCCCTGCT -ACTTCTTTCCCTCCTCCCCCTTCCTCTGGAGCATCCTTCCAGCATGGCGGACCAGGAGCT -CCACCATCATCTTCAGCTTATGCACTGCCTCCTGGAACAACAGGTCCTCAGAATGGTTGG -AATGACCCTCCAGCTTTGAACAGAGTACCCAAAAAGAAGAAGATGCCTGAAAACTTCATG -CCTCCTGTTCCCATCACATCACCAATCATGAACCCGTTGGGTGACCCCCAGTCACAAATG -CTGCAGCAACAGCCTTCAGCTCCAGTACCACTGTCAAGCCAGTCTTCATTCCCACAGCCA -CATCTTCCAGGTGGCCAGCCCTTCCATGGCGTACAGCAACCTCTTGGTCAAACAGGCATG -CCACCATCTTTTTCAAAGCCCAATATTGAAGGTGCCCCAGGGGCTCCTATTGGAAATACC -TTCCAGCATGTGCAGTCTTTGCCAACAAAAAAAATTACCAAGAAACCTATTCCAGATGAG -CACCTCATTCTAAAGACCACATTTGAGGATCTTATTCAGCGCTGCCTTTCTTCAGCAACA -GACCCTCAAACCAAGAGGAAGCTAGATGATGCCAGCAAACGTTTGGAGTTTCTGTATGAT -AAACTTAGGGAACAGACACTTTCACCAACAATCACCAGTGGTTTACACAACATTGCAAGG -AGCATTGAAACTCGAAACTACTCAGAAGGATTGACCATGCATACCCACATAGTTAGCACC -AGCAACTTCAGTGAGACCTCTGCTTTCATGCCAGTTCTCAAAGTTGTTCTCACCCAGGCC -AATAAGCTGGGTGTCTAA ->ENST00000355196 havana:known chromosome:GRCh38:4:82819011:82900538:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCTCACAGGTACCACAAGTTGATTTGGGGGCCTTATAAAATGGAT -TCCAAAGGAGATGTCTCTGGAGTTCTGATTGCAGGTGGTGAAAATGGAAATATTATTCTC -TATGATCCTTCTAAAATTATAGCTGGAGACAAGGAAGTTGTGATTGCCCAGAATGACAAG -CATACTGGCCCAGTGAGAGCCTTGGATGTGAACATTTTCCAGACTAATCTGGTAGCTTCT -GGTGCTAATGAATCTGAAATCTACATATGGGATCTAAATAATTTTGCAACCCCAATGACA -CCAGGAGCCAAAACACAGCCGCCAGAAGATATCAGCTGCATTGCATGGAACAGACAAGTT -CAGCATATTTTAGCATCAGCCAGTCCCAGTGGCCGGGCCACTGTATGGGATCTTAGAAAA -AATGAGCCAATCATCAAAGTCAGTGACCATAGTAACAGAATGCATTGTTCTGGGTTGGCA -TGGCATCCTGATGTTGCTACTCAGATGGTCCTTGCCTCCGAGGATGACCGGTTACCAGTG -ATCCAGATGTGGGATCTTCGATTTGCTTCCTCTCCACTTCGTGTCCTGGAAAACCATGCC -AGGGGGATTTTGGCAATTGCTTGGAGCATGGCAGATCCTGAATTGTTACTGAGCTGTGGA -AAAGATGCTAAGATTCTCTGCTCCAATCCAAACACAGGAGAGGTGTTATATGAACTTCCC -ACCAACACACAGTGGTGCTTCGATATTCAGTGGTGTCCCCGAAATCCTGCTGTCTTATCA -GCTGCTTCGTTTGATGGGCGTATCAGTGTTTATTCTATCATGGGAGGTAGCACAGATGGT -TTAAGACAGAAACAAGTTGACAAGCTTTCATCATCTTTTGGGAATCTTGATCCCTTTGGC -ACAGGACAGCCCCTTCCTCCGTTACAAATTCCACAGCAGACTGCTCAGCATAGTATAGTG -CTGCCTCTGAAGAAGCCGCCCAAGTGGATTCGAAGGCCTGTTGGTGCTTCTTTTTCATTT -GGAGGCAAACTGGTTACGTTTGAGAATGTCAGAATGCCTTCTCATCAGGGAGCTGAGCAG -CAGCAGCAGCAGCACCATGTGTTCATTAGTCAGGTTGTAACAGAAAAGGAGTTCCTCAGC -CGATCAGACCAACTTCAGCAGGCTGTGCAGTCACAAGGATTTATCAATTATTGCCAAAAA -AAAATTGATGCTTCTCAGACTGAATTTGAGAAAAATGTGTGGTCCTTTTTGAAGGTAAAC -TTTGAGGATGATTCTCGTGGAAAATACCTTGAACTTCTAGGATACAGAAAAGAAGATCTA -GGAAAGAAGATTGCTTTGGCCTTGAACAAAGTGGATGGAGCCAATGTGGCTCTTAAAGAC -TCTGACCAAGTAGCACAGAGTGATGGGGAGGAGAGCCCTGCTGCTGAAGAGCAGCTCTTG -GGAGAGCACATTAAAGAGGAAAAAGAAGAATCTGAATTTCTACCCTCATCTGGAGGAACA -TTTAATATCTCTGTCAGTGGGGACATTGATGGTTTAATTACTCAGGCTTTGCTGACGGGC -AATTTTGAGAGTGCTGTTGACCTTTGTTTACATGATAACCGCATGGCCGATGCCATTATA -TTGGCCATAGCAGGTGGACAAGAACTCTTGGCTCGAACCCAGAAAAAATACTTCGCAAAA -TCCCAAAGCAAAATTACCAGGCTCATCACTGCAGTGGTGATGAAGAACTGGAAAGAGATT -GTTGAGTCTTGTGATCTTAAAAATTGGAGAGAGGCTTTAGCTGCAGTATTGACTTATGCA -AAGCCGGATGAATTTTCAGCCCTTTGTGATCTTTTGGGAACCAGGCTTGAAAATGAAGGA -GATAGCCTCCTGCAGACTCAAGCATGTCTCTGCTATATTTGTGCAGGGAATGTAGAGAAA -TTAGTTGCATGTTGGACTAAAGCTCAAGATGGAAGCCACCCTTTGTCACTTCAGGATCTG -ATTGAGAAAGTTGTCATCCTGCGAAAAGCTGTGCAACTCACTCAAGCCATGGACACTAGT -ACTGTAGGAGTTCTCTTGGCTGCGAAGATGAGTCAGTATGCCAATTTGTTGGCAGCTCAG -GGCAGTATTGCTGCAGCCTTGGCTTTTCTTCCTGACAACACCAACCAGCCAAATATCATG -CAGCTTCGTGACAGACTTTGTAGAGCACAAGGAGAGCCTGTAGCAGGACATGAATCACCT -AAAATTCCGTACGAGAAACAGCAGCTCCCCAAGGGCAGGCCTGGACCAGTTGCTGGCCAC -CACCAGATGCCAAGAGTTCAAACTCAACAATATTATCCCCATGGAGAAAATCCTCCACCT -CCGGGTTTCATAATGCATGGAAATGTTAATCCAAATGCTGCTGGTCAGCTTCCCACATCT -CCAGGTCATATGCACACCCAGGTACCACCTTATCCACAGCCACAGCCTTATCAACCAGCC -CAGCCGTATCCCTTCGGAACAGGGGGGTCAGCAATGTATCGACCTCAGCAGCCTGTTGCT -CCTCCTACTTCAAACGCTTACCCTAACACCCCTTACATATCTTCTGCTTCTTCCTATACT -GGGCAGTCTCAGCTGTACGCAGCACAGCACCAGGCCTCTTCACCTACCTCCAGCCCTGCT -ACTTCTTTCCCTCCTCCCCCTTCCTCTGGAGCATCCTTCCAGCATGGCGGACCAGGAGCT -CCACCATCATCTTCAGCTTATGCACTGCCTCCTGGAACAACAGGTACACTGCCTGCTGCC -AGTGAGCTGCCTGCGTCCCAAAGAACAGGTCCTCAGAATGGTTGGAATGACCCTCCAGCT -TTGAACAGAGTACCCAAAAAGAAGAAGATGCCTGAAAACTTCATGCCTCCTGTTCCCATC -ACATCACCAATCATGAACCCGTTGGGTGACCCCCAGTCACAAATGCTGCAGCAACAGCCT -TCAGCTCCAGTACCACTGTCAAGCCAGTCTTCATTCCCACAGCCACATCTTCCAGGTGGC -CAGCCCTTCCATGGCGTACAGCAACCTCTTGGTCAAACAGGCATGCCACCATCTTTTTCA -AAGCCCAATATTGAAGGTGCCCCAGGGGCTCCTATTGGAAATACCTTCCAGCATGTGCAG -TCTTTGCCAACAAAAAAAATTACCAAGAAACCTATTCCAGATGAGCACCTCATTCTAAAG -ACCACATTTGAGGATCTTATTCAGCGCTGCCTTTCTTCAGCAACAGACCCTCAAACCAAG -AGGAAGCTAGATGATGCCAGCAAACGTTTGGAGTTTCTGTATGATAAACTTAGGGAACAG -ACACTTTCACCAACAATCACCAGTGGTTTACACAACATTGCAAGGAGCATTGAAACTCGA -AACTACTCAGAAGGATTGACCATGCATACCCACATAGTTAGCACCAGCAACTTCAGTGAG -ACCTCTGCTTTCATGCCAGTTCTCAAAGTTGTTCTCACCCAGGCCAATAAGCTGGGTGTC -TAA ->ENST00000515062 havana:known chromosome:GRCh38:4:82819021:82827612:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -NNTCCTGTTCCCATCACATCACCAATCATGAACCCGTTGGGTGACCCCCAGTCACAAATG -CTGCAGCAACAGCCTTCAGCTCCAGTACCACTGTCAAGCCAGTCTTCATTCCCACAGCCA -CATCTTCCAGGTGGCCAGCCCTTCCATGGCGTACAGCAACCTCTTGGTCAAACAGGCATG -CCACCATCTTTTTCAAAGCCCAATATTGAAGGTGCCCCAGGGGCTCCTATTGGAAATACC -TTCCAGCATGTGCAGTCTTTGCCAACAAAAAAAATTACCAAGAAACCTATTCCAGATGAG -CACCTCATTCTAAAGACCACATTTGAGGATCTTATTCAGCGCTGCCTTTCTTCAGCAACA -GACCCTCTTTCACCAACAATCACCAGTGGTTTACACAACATTGCAAGGAGCATTGAAACT -CGAAACTACTCAGAAGGATTGACCATGCATACCCACATAGTTAGCACCAGCAACTTCAGT -GAGACCTCTGCTTTCATGCCAGTTCTCAAAGTTGTTCTCACCCAGGCCAATAAGCTGGGT -GTCTAA ->ENST00000264405 havana:known chromosome:GRCh38:4:82819022:82871950:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGGTAAAATTGGTTTTGTTATCCATTGTTTTGCTTAAAGTCACAGTTCCTAAATTAAGT -AACGACTTACTGCAGTTAGATTTCATGCCCATCCATAGGGGGATTTTGGCAATTGCTTGG -AGCATGGCAGATCCTGAATTGTTACTGAGCTGTGGAAAAGATGCTAAGATTCTCTGCTCC -AATCCAAACACAGGAGAGGTGTTATATGAACTTCCCACCAACACACAGTGGTGCTTCGAT -ATTCAGTGGTGTCCCCGAAATCCTGCTGTCTTATCAGCTGCTTCGTTTGATGGGCGTATC -AGTGTTTATTCTATCATGGGAGGTAGCACAGATGGTTTAAGACAGAAACAAGTTGACAAG -CTTTCATCATCTTTTGGGAATCTTGATCCCTTTGGCACAGGACAGCCCCTTCCTCCGTTA -CAAATTCCACAGCAGACTGCTCAGCATAGTATAGTGCTGCCTCTGAAGAAGCCGCCCAAG -TGGATTCGAAGGCCTGTTGGTGCTTCTTTTTCATTTGGAGGCAAACTGGTTACGTTTGAG -AATGTCAGAATGCCTTCTCATCAGGGAGCTGAGCAGCAGCAGCAGCAGCACCATGTGTTC -ATTAGTCAGGTTGTAACAGAAAAGGAGTTCCTCAGCCGATCAGACCAACTTCAGCAGGCT -GTGCAGTCACAAGGATTTATCAATTATTGCCAAAAAAAAATTGATGCTTCTCAGACTGAA -TTTGAGAAAAATGTGTGGTCCTTTTTGAAGGTAAACTTTGAGGATGATTCTCGTGGAAAA -TACCTTGAACTTCTAGGATACAGAAAAGAAGATCTAGGAAAGAAGCACATTAAAGAGGAA -AAAGAAGAATCTGAATTTCTACCCTCATCTGGAGGAACATTTAATATCTCTGTCAGTGGG -GACATTGATGGTTTAATTACTCAGGCTTTGCTGACGGGCAATTTTGAGAGTGCTGTTGAC -CTTTGTTTACATGATAACCGCATGGCCGATGCCATTATATTGGCCATAGCAGGTGGACAA -GAACTCTTGGCTCGAACCCAGAAAAAATACTTCGCAAAATCCCAAAGCAAAATTACCAGG -CTCATCACTGCAGTGGTGATGAAGAACTGGAAAGAGATTGTTGAGTCTTGTGATCTTAAA -AATTGGAGAGAGGCTTTAGCTGCAGTATTGACTTATGCAAAGCCGGATGAATTTTCAGCC -CTTTGTGATCTTTTGGGAACCAGGCTTGAAAATGAAGGAGATAGCCTCCTGCAGACTCAA -GCATGTCTCTGCTATATTTGTGCAGGGAATGTAGAGAAATTAGTTGCATGTTGGACTAAA -GCTCAAGATGGAAGCCACCCTTTGTCACTTCAGGATCTGATTGAGAAAGTTGTCATCCTG -CGAAAAGCTGTGCAACTCACTCAAGCCATGGACACTAGTACTGTAGGAGTTCTCTTGGCT -GCGAAGATGAGTCAGTATGCCAATTTGTTGGCAGCTCAGGGCAGTATTGCTGCAGCCTTG -GCTTTTCTTCCTGACAACACCAACCAGCCAAATATCATGCAGCTTCGTGACAGACTTTGT -AGAGCACAAGGAGAGCCTGTAGCAGGACATGAATCACCTAAAATTCCGTACGAGAAACAG -CAGCTCCCCAAGGGCAGGCCTGGACCAGTTGCTGGCCACCACCAGATGCCAAGAGTTCAA -ACTCAACAATATTATCCCCATGTTAGAATTGCCCCTACTGTCACTACCTGGAGTAACAAA -ACTCCTACTGCCCTTCCCAGCCATCCACCTGCAGCCTCTCCCTCTGACACACAGGGAGAA -AATCCTCCACCTCCGGGTTTCATAATGCATGGAAATGTTAATCCAAATGCTGCTGGTCAG -CTTCCCACATCTCCAGGTCATATGCACACCCAGGTACCACCTTATCCACAGCCACAGCCT -TATCAACCAGCCCAGCCGTATCCCTTCGGAACAGGGGGGTCAGCAATGTATCGACCTCAG -CAGCCTGTTGCTCCTCCTACTTCAAACGCTTACCCTAACACCCCTTACATATCTTCTGCT -TCTTCCTATACTGGGCAGTCTCAGCTGTACGCAGCACAGCACCAGGCCTCTTCACCTACC -TCCAGCCCTGCTACTTCTTTCCCTCCTCCCCCTTCCTCTGGAGCATCCTTCCAGCATGGC -GGACCAGGAGCTCCACCATCATCTTCAGCTTATGCACTGCCTCCTGGAACAACAGGTCCT -CAGAATGGTTGGAATGACCCTCCAGCTTTGAACAGAGTACCCAAAAAGAAGAAGATGCCT -GAAAACTTCATGCCTCCTGTTCCCATCACATCACCAATCATGAACCCGTTGGGTGACCCC -CAGTCACAAATGCTGCAGCAACAGCCTTCAGCTCCAGTACCACTGTCAAGCCAGTCTTCA -TTCCCACAGCCACATCTTCCAGGTGGCCAGCCCTTCCATGGCGTACAGCAACCTCTTGGT -CAAACAGGCATGCCACCATCTTTTTCAAAGCCCAATATTGAAGGTGCCCCAGGGGCTCCT -ATTGGAAATACCTTCCAGCATGTGCAGTCTTTGCCAACAAAAAAAATTACCAAGAAACCT -ATTCCAGATGAGCACCTCATTCTAAAGACCACATTTGAGGATCTTATTCAGCGCTGCCTT -TCTTCAGCAACAGACCCTCAAACCAAGAGGAAGCTAGATGATGCCAGCAAACGTTTGGAG -TTTCTGTATGATAAACTTAGGGAACAGACACTTTCACCAACAATCACCAGTGGTTTACAC -AACATTGCAAGGAGCATTGAAACTCGAAACTACTCAGAAGGATTGACCATGCATACCCAC -ATAGTTAGCACCAGCAACTTCAGTGAGACCTCTGCTTTCATGCCAGTTCTCAAAGTTGTT -CTCACCCAGGCCAATAAGCTGGGTGTCTAA ->ENST00000505984 havana:known chromosome:GRCh38:4:82819044:82891148:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCTCACAGGTACCACAAGTTGATTTGGGGGCCTTATAAAATGGAT -TCCAAAGGAGATGTCTCTGGAGTTCTGATTGCAGGTGGTGAAAATGGAAATATTATTCTC -TATGATCCTTCTAAAATTATAGCTGGAGACAAGGAAGTTGTGATTGCCCAGAATGACAAG -CATACTGGCCCAGTGAGAGCCTTGGATGTGAACATTTTCCAGACTAATCTGGTAGCTTCT -GGTGCTAATGAATCTGAAATCTACATATGGGATCTAAATAATTTTGCAACCCCAATGACA -CCAGGAGCCAAAACACAGCCGCCAGAAGATATCAGCTGCATTGCATGGAACAGACAAGTT -CAGCATATTTTAGCATCAGCCAGTCCCAGTGGCCGGGCCACTGTATGGGATCTTAGAAAA -AATGAGCCAATCATCAAAGTCAGTGACCATAGTAACAGAATGCATTGTTCTGGGTTGGCA -TGGCATCCTGATGTTGCTACTCAGATGGTCCTTGCCTCCGAGGATGACCGGTTACCAGTG -ATCCAGATGTGGGATCTTCGATTTGCTTCCTCTCCACTTCGTGTCCTGGAAAACCATGCC -AGGGGGATTTTGGCAATTGCTTGGAGCATGGCAGATCCTGAATTGTTACTGAGCTGTGGA -AAAGATGCTAAGATTCTCTGCTCCAATCCAAACACAGGAGAGGTGTTATATGAACTTCCC -ACCAACACACAGTGGTGCTTCGATATTCAGTGGTGTCCCCGAAATCCTGCTGTCTTATCA -GCTGCTTCGTTTGATGGGCGTATCAGTGTTTATTCTATCATGGGAGGTAGCACAGATGGT -TTAAGACAGAAACAAGTTGACAAGCTTTCATCATCTTTTGGGAATCTTGATCCCTTTGGC -ACAGGACAGCCCCTTCCTCCGTTACAAATTCCACAGCAGACTGCTCAGCATAGTATAGTG -CTGCCTCTGAAGAAGCCGCCCAAGTGGATTCGAAGGCCTGTTGGTGCTTCTTTTTCATTT -GGAGGCAAACTGGTTACGTTTGAGAATGTCAGAATGCCTTCTCATCAGGGAGCTGAGCAG -CAGCAGCAGCAGCACCATGTGTTCATTAGTCAGGTTGTAACAGAAAAGGAGTTCCTCAGC -CGATCAGACCAACTTCAGCAGGCTGTGCAGTCACAAGGATTTATCAATTATTGCCAAAAA -AAAATTGATGCTTCTCAGACTGAATTTGAGAAAAATGTGTGGTCCTTTTTGAAGGTAAAC -TTTGAGGATGATTCTCGTGGAAAATACCTTGAACTTCTAGGATACAGAAAAGAAGATCTA -GGAAAGAAGCACATTAAAGAGGAAAAAGAAGAATCTGAATTTCTACCCTCATCTGGAGGA -ACATTTAATATCTCTGTCAGTGGGGACATTGATGGTTTAATTACTCAGGCTTTGCTGACG -GGCAATTTTGAGAGTGCTGTTGACCTTTGTTTACATGATAACCGCATGGCCGATGCCATT -ATATTGGCCATAGCAGGTGGACAAGAACTCTTGGCTCGAACCCAGAAAAAATACTTCGCA -AAATCCCAAAGCAAAATTACCAGGCTCATCACTGCAGTGGTGATGAAGAACTGGAAAGAG -ATTGTTGAGTCTTGTGATCTTAAAAATTGGAGAGAGGCTTTAGCTGCAGTATTGACTTAT -GCAAAGCCGGATGAATTTTCAGCCCTTTGTGATCTTTTGGGAACCAGGCTTGAAAATGAA -GGAGATAGCCTCCTGCAGACTCAAGCATGTCTCTGCTATATTTGTGCAGGGAATGTAGAG -AAATTAGTTGCATGTTGGACTAAAGCTCAAGATGGAAGCCACCCTTTGTCACTTCAGGAT -CTGATTGAGAAAGTTGTCATCCTGCGAAAAGCTGTGCAACTCACTCAAGCCATGGACACT -AGTACTGTAGGAGTTCTCTTGGCTGCGAAGATGAGTCAGTATGCCAATTTGTTGGCAGCT -CAGGGCAGTATTGCTGCAGCCTTGGCTTTTCTTCCTGACAACACCAACCAGCCAAATATC -ATGCAGCTTCGTGACAGACTTTGTAGAGCACAAGGAGAGCCTGTAGCAGGACATGAATCA -CCTAAAATTCCGTACGAGAAACAGCAGCTCCCCAAGGGCAGGCCTGGACCAGTTGCTGGC -CACCACCAGATGCCAAGAGTTCAAACTCAACAATATTATCCCCATGGAGAAAATCCTCCA -CCTCCGGGTTTCATAATGCATGGAAATGTTAATCCAAATGCTGCTGGTCAGCTTCCCACA -TCTCCAGGTCATATGCACACCCAGGTACCACCTTATCCACAGCCACAGCCTTATCAACCA -GCCCAGCCGTATCCCTTCGGAACAGGGGGGTCAGCAATGTATCGACCTCAGCAGCCTGTT -GCTCCTCCTACTTCAAACGCTTACCCTAACACCCCTTACATATCTTCTGCTTCTTCCTAT -ACTGGGCAGTCTCAGCTGTACGCAGCACAGCACCAGGCCTCTTCACCTACCTCCAGCCCT -GCTACTTCTTTCCCTCCTCCCCCTTCCTCTGGAGCATCCTTCCAGCATGGCGGACCAGGA -GCTCCACCATCATCTTCAGCTTATGCACTGCCTCCTGGAACAACAGGTCCTCAGAATGGT -TGGAATGACCCTCCAGCTTTGAACAGAGTACCCAAAAAGAAGAAGATGCCTGAAAACTTC -ATGCCTCCTGTTCCCATCACATCACCAATCATGAACCCGTTGGGTGACCCCCAGTCACAA -ATGCTGCAGCAACAGCCTTCAGCTCCAGTACCACTGTCAAGCCAGTCTTCATTCCCACAG -CCACATCTTCCAGGTGGCCAGCCCTTCCATGGCGTACAGCAACCTCTTGGTCAAACAGGC -ATGCCACCATCTTTTTCAAAGCCCAATATTGAAGGTGCCCCAGGGGCTCCTATTGGAAAT -ACCTTCCAGCATGTGCAGTCTTTGCCAACAAAAAAAATTACCAAGAAACCTATTCCAGAT -GAGCACCTCATTCTAAAGACCACATTTGAGGATCTTATTCAGCGCTGCCTTTCTTCAGCA -ACAGACCCTCAAACCAAGAGGAAGCTAGATGATGCCAGCAAACGTTTGGAGTTTCTGTAT -GATAAACTTAGGGAACAGACACTTTCACCAACAATCACCAGTGGTTTACACAACATTGCA -AGGAGCATTGAAACTCGAAACTACTCAGAAGGATTGACCATGCATACCCACATAGTTAGC -ACCAGCAACTTCAGTGAGACCTCTGCTTTCATGCCAGTTCTCAAAGTTGTTCTCACCCAG -GCCAATAAGCTGGGTGTCTAA ->ENST00000511338 havana:known chromosome:GRCh38:4:82824598:82848843:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -NNCCAGATGCCAAGAGTTCAAACTCAACAATATTATCCCCATGTTAGAATTGCCCCTACT -GTCACTACCTGGAGTAACAAAACTCCTACTGCCCTTCCCAGCCATCCACCTGCAGCCTCT -CCCTCTGACACACAGGGAGAAAATCCTCCACCTCCGGGTTTCATAATGCATGGAAATGTT -AATCCAAATGCTGCTGGTCAGCTTCCCACATCTCCAGGTCATATGCACACCCAGGTACCA -CCTTATCCACAGCCACAGCGTCCTCAGAATGGTTGGAATGACCCTCCAGCTTTGAACAGA -GTACCCAAAAAGAAGAAGATGCCTGAAAACTTCATGCCTCCTGTTCCCATCACATCACCA -ATCATGAACCCGTTGGGTGACCCCCAGTCACAAATGCTGCAGCAACAGCCTTCAGCTCCA -GTACCACTGTCAAGCCAGTCTTCATTCCCACAGCCACATCTTCCAGGTGGCCAGCCCTTC -CATGGCGTACAGCAACCTCTTGGTCAAACAGGCATGCCACCATCTTTTTCAAAGCCCAAT -ATTGAAGGTGCCCCAGGGGCTCCTATTGGAAATACCTTCCAGCATGTGCAGTCTTTGCCA -ACAAAAAAAATTACCAAGAAACCTATTCCAGATGAGCACCTCATTCTAAAGACCACATT ->ENST00000508479 havana:known chromosome:GRCh38:4:82843685:82891153:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCTCACAGGTACCACAAGTTGATTTGGGGGCCTTATAAAATGGAT -TCCAAAGGAGATGTCTCTGGAGTTCTGATTGCAGGTGGTGAAAATGGAAATATTATTCTC -TATGATCCTTCTAAAATTATAGCTGGAGACAAGGAAGTTGTGATTGCCCAGAATGACAAG -CATACTGGCCCAGTGAGAGCCTTGGATGTGAACATTTTCCAGACTAATCTGGTAGCTTCT -GGTGCTAATGAATCTGAAATCTACATATGGGATCTAAATAATTTTGCAACCCCAATGACA -CCAGGAGCCAAAACACAGCCGCCAGAAGATATCAGCTGCATTGCATGGAACAGACAAGTT -CAGCATATTTTAGCATCAGCCAGTCCCAGTGGCCGGGCCACTGTATGGGATCTTAGAAAA -AATGAGCCAATCATCAAAGTCAGTGACCATAGTAACAGAATGCATTGTTCTGGGTTGGCA -TGGCATCCTGATGTTGCTACTCAGATGGTCCTTGCCTCCGAGGATGACCGGTTACCAGTG -ATCCAGATGTGGGATCTTCGATTTGCTTCCTCTCCACTTCGTGTCCTGGAAAACCATGCC -AGGGGGATTTTGGCAATTGCTTGGAGCATGGCAGATCCTGAATTGTTACTGAGCTGTGGA -AAAGATGCTAAGATTCTCTGCTCCAATCCAAACACAGGAGAGGTGTTATATGAACTTCCC -ACCAACACACAGTGGTGCTTCGATATTCAGTGGTGTCCCCGAAATCCTGCTGTCTTATCA -GCTGCTTCGTTTGATGGGCGTATCAGTGTTTATTCTATCATGGGAGGTAGCACAGATGGT -TTAAGACAGAAACAAGTTGACAAGCTTTCATCATCTTTTGGGAATCTTGATCCCTTTGGC -ACAGGACAGCCCCTTCCTCCGTTACAAATTCCACAGCAGACTGCTCAGCATAGTATAGTG -CTGCCTCTGAAGAAGCCGCCCAAGTGGATTCGAAGGCCTGTTGGTGCTTCTTTTTCATTT -GGAGGCAAACTGGTTACGTTTGAGAATGTCAGAATGCCTTCTCATCAGGGAGCTGAGCAG -CAGCAGCAGCAGCACCATGTGTTCATTAGTCAGGTTGTAACAGAAAAGGAGTTCCTCAGC -CGATCAGACCAACTTCAGCAGGCTGTGCAGTCACAAGGATTTATCAATTATTGCCAAAAA -AAAATTGATGCTTCTCAGACTGAATTTGAGAAAAATGTGTGGTCCTTTTTGAAGGTAAAC -TTTGAGGATGATTCTCGTGGAAAATACCTTGAACTTCTAGGATACAGAAAAGAAGATCTA -GGAAAGAAGATTGCTTTGGCCTTGAACAAAGTGGATGGAGCCAATGTGGCTCTTAAAGAC -TCTGACCAAGTAGCACAGAGTGATGGGGAGGAGAGCCCTGCTGCTGAAGAGCAGCTCTTG -GGAGAGCACATTAAAGAGGAAAAAGAAGAATCTGAATTTCTACCCTCATCTGGAGGAACA -TTTAATATCTCTGTCAGTGGGGACATTGATGGTTTAATTACTCAGGCTTTGCTGACGGGC -AATTTTGAGAGTGCTGTTGACCTTTGTTTACATGATAACCGCATGGCCGATGCCATTATA -TTGGCCATAGCAGGTGGACAAGAACTCTTGGCTCGAACCCAGAAAAAATACTTCGCAAAA -TCCCAAAGCAAAATTACCAGGCTCATCACTGCAGTGGTGATGAAGAACTGGAAAGAGATT -GTTGAGTCTTGTGATCTTAAAAATTGGAGAGAGGCTTTAGCTGCAGTATTGACTTATGCA -AAGCCGGATGAATTTTCAGCCCTTTGTGATCTTTTGGGAACCAGGCTTGAAAATGAAGGA -GATAGCCTCCTGCAGACTCAAGCATGTCTCTGCTATATTTGTGCAGGGAATGTAGAGAAA -TTAGTTGCATGTTGGACTAAAGCTCAAGATGGAAGCCACCCTTTGTCACTTCAGGATCTG -ATTGAGAAAGTTGTCATCCTGCGAAAAGCTGTGCAACTCACTCAAGCCATGGACACTAGT -ACTGTAGGAGTTCTCTTGGCTGCGAAGATGAGTCAGTATGCCAATTTGTTGGCAGCTCAG -GGCAGTATTGCTGCAGCCTTGGCTTTTCTTCCTGACAACACCAACCAGCCAAATATCATG -CAGCTTCGTGACAGACTTTGTAGAGCACAAGGAGAGCCTGTAGCAGGACATGAATCACCT -AAAATTCCGTACGAGAAACAGCAGCTCCCCAAGGGCAGGCCTGGACCAGTTGCTGGCCAC -CACCAGATGCCAAGAGTTCAAACTCAACAATATTATCCCCATGGAGAAAATCCTCCACCT -CCGGGTTTCATAATGCATGGAAATGTTAATCCAAATGCTGCTGGTCAGCTTCCCACATCT -CCAGGTCATATGCACACCCAGGTACCACCTTATCCACAGCCACAGCGTAAGTAG ->ENST00000507828 havana:known chromosome:GRCh38:4:82848826:82866931:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -NNCTTTGGCACAGGACAGCCCCTTCCTCCGTTACAAATTCCACAGCAGACTGCTCAGCAT -AGTATAGTGCTGCCTCTGAAGAAGCCGCCCAAGTGGATTCGAAGGCCTGTTGGTGCTTCT -TTTTCATTTGGAGGCAAACTGGTTACGTTTGAGAATGTCAGAATGCCTTCTCATCAGGGA -GCTGAGCAGCAGCAGCAGCAGCACCATGTGTTCATTAGTCAGGTTGTAACAGAAAAGGAG -TTCCTCAGCCGATCAGACCAACTTCAGCAGGCTGTGCAGTCACAAGGATTTATCAATTAT -TGCCAAAAAAAAATTGATGCTTCTCAGACTGAATTTGAGAAAAATGTGTGGTCCTTTTTG -AAGGTAAACTTTGAGGATGATTCTCGTGGAAAATACCTTGAACTTCTAGGATACAGAAAA -GAAGATCTAGGAAAGAAGATTGCTTTGGCCTTGAACAAAGTGGATGGAGCCAATGTGCAC -ATTAAAGAGGAAAAAGAAGAATCTGAATTTCTACCCTCATCTGGAGGAACATTTAATATC -TCTGTCAGTGGGGACATTGATGGTTTAATTACTCAGGCTTTGCTGACGGGCAATTTTGAG -AGTGCTGTTGACCTTTGTTTACATGATAACCGCATGGCCGATGCCATTATATTGGCCATA -GCAGGTGGACAAGAACTCTTGGCTCGAACCCAGAAAAAATACTTCGCAAAATCCCAAAGC -AAAATTACCAGGCTCATCACTGCAGTGGTGATGAAGAACTGGAAAGAGATTGTTGAGTCT -TGTGATCTTAAAAATTGGAGAGAGGCTTTAGCTGCAGTATTGACTTATGCAAAGCCGGAT -GAATTTTCAGCCCTTTGTGATCTTTTGGGAACCAGGCTTGAAAATGAAGGAGATAGCCTC -CTGCAGACTCAAGCATGTCTCTGCTATATTTGTGCAGGGAATGTAGAGAAATTAGTTGCA -TGTTGGACTAAAGCTCAAGATGGAAGCCACCCTTTGTCACTTCAGGATCTGATTGAGAAA -GTTGTCATCCTGCGAAAAGCTGTGCAACTCACTCAAGCCATGGACACTAGTACTGTAGGA -GTTCTCTTGGCTGCGAAGATGAGTCAGTATGCCAATTTGTTGGCAGCTCAGGGCAGTATT -GCTGCAGCCTTGGCTTTTCTTCCTGACAACACCAACCAGCCAAATATCATGCAGCTTCGT -GACAGACTTTGTAGAGCACAAGGAGAGCCTGTAGCAGGACATGAATCACCTAAAATTCCG -TACGAGAAACAGCAGCTCCCCAAGGGCAGGCCTGGACCAGTTGCTGGCCACCACCAGATG -CCAAGAGTTCA ->ENST00000512664 havana:known chromosome:GRCh38:4:82851514:82864455:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -NNGGCTGTGCAGTCACAAGGATTTATCAATTATTGCCAAAAAAAAATTGATGCTTCTCAG -ACTGAATTTGAGAAAAATGTGTGGTCCTTTTTGAAGGTAAACTTTGAGGATGATTCTCGT -GGAAAATACCTTGAACTTCTAGGATACAGAAAAGAAGATCTAGGAAAGAAGCACATTAAA -GAGGAAAAAGAAGAATCTGAATTTCTACCCTCATCTGGAGGAACATTTAATATCTCTGTC -AGTGGGGACATTGATGGTTTAATTACTCAGGCTTTGCTGACGGGCAATTTTGAGAGTGCT -GTTGACCTTTGTTTACATGATAACCGCATGGCCGATGCCATTATATTGGCCATAGCAGGT -GGACAAGAACTCTTGGCTCGAACCCAGAAAAAATACTTCGCAAAATCCCAAAGCAAAATT -ACCAGGCTCATCACTGCAGTGGTGATGAAGAACTGGAAAGAGATTGTTGAGTCTTGTGAT -CTTAAAAATTGGAGAGAGGCTTTAGCTGCAGTATTGACTTATGCAAAGCCGGATGAATTT -TCAGCCCTTTGTGGGAATGTAGAGAAATTAGTTGCATGTTGGACTAAAGCTCAAGATGGA -AGCCACCCTTTGTCACTTCAGGATCTGATTGAGAAAGTTGTCATCCTGCGAAAAGCTGTG -CAACTCACTCAAGCCATGGACACTAGTACTGTAGGAGTTCTCTTGGCTGCGA ->ENST00000510167 havana:known chromosome:GRCh38:4:82853631:82864598:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -TTTGGAGGCAAACTGGTTACGTTTGAGAATGTCAGAATGCCTTCTCATCAGGGAGCTGAG -CAGCAGCAGCAGCAGCACCATGTGTTCATTAGTCAGGTTGTAACAGAAAAGGAGTTCCTC -AGCCGATCAGACCAACTTCAGCAGGCTGTGCAGTCACAAGGATTTATCAATTATTGCCAA -AAAAAAATTGATGCTTCTCAGACTGAATTTGAGAAAAATGTGTGGTCCTTTTTGAAGGTA -AACTTTGAGGATGATTCTCGTGGAAAATACCTTGAACTTCTAGGATACAGAAAAGAAGAT -CTAGGAAAGAAGGCTCTTAAAGACTCTGACCAAGTAGCACAGAGTGATGGGGAGGAGAGC -CCTGCTGCTGAAGAGCAGCTCTTGGGAGAGCACATTAAAGAGGAAAAAGAAGAATCTGAA -TTTCTACCCTCATCTGGAGGAACATTTAATATCTCTGTCAGTGGGGACATTGATGGTTTA -ATTACTCAGGCTTTGCTGACGGGCAATTTTGAGAGTGCTGTTGACCTTTGTTTACATGAT -AACCGCATGGCCGATGCCATTATATTGGCCATAGCAGGTGGACAAGAACTCTTGGCTCGA -ACCCAGAAAAAATACTTCGCAAAATCCCAAAGCAAAATTACCAGGCTCATCACTGCAGTG -GTGATGAAGAACTGGAAAGAGATTGTTGAGTCTTGTGATCTTAAAAATTGGAGAGAGGCT -TTAGCTGCAGTATTGACTTATGCAAAGCCGGATGAATTTTCAGCCCTTTGTGATCTTTTG -GGAACCAGGCTTGAAAATGAAGGAGATAGCCTCCTGCAGACTCAAGCATGTCTCTGCTAT -ATTTGTGCAGGGAATGT ->ENST00000503058 havana:known chromosome:GRCh38:4:82871933:82891120:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ACGCAGGATCCGGCTGCCGAAGGTCCTCGCCAGCAGGATGAAGTTAAAGGAAGTAGATCG -TACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCACCCCATTTACCTAGCAACAGGTAC -CACAAGTTGATTTGGGGGCCTTATAAAATGGATTCCAAAGGAGATGTCTCTGGAGTTCTG -ATTGCAGGTGGTGAAAATGGAAATATTATTCTCTATGATCCTTCTAAAATTATAGCTGGA -GACAAGGAAGTTGTGATTGCCCAGAATGACAAGCATACTGGCCCAGTGAGAGCCTTGGAT -GTGAACATTTTCCAGACTAATCTGGTAGCTTCTGGTGCTAATGAATCTGAAATCTACATA -TGGGATCTAAATAATTTTGCAACCCCAATGACACCAGGAGCCAAAACACAGCCGCCAGAA -GATATCAGCTGCATTGCATGGAACAGACAAGTTCAGCATATTTTAGCATCAGCCAGTCCC -AGTGGCCGGGCCACTGTATGGGATCTTAGAAAAAATGAGCCAATCATCAAAGTCAGTGAC -CATAGTAACAGAATGCATTGTTCTGGGTTGGCATGGCATCCTGATGTTGCTACTCAGATG -GTCCTTGCCTCCGAGGATGACCGGTTACCAGTGATCCAGATGTGGGATCTTCGATTTGCT -TCCTCTCCACTTCGTGTCCTGGAAAACCATGCCAGGTATCGTGCTG ->ENST00000507816 havana:known chromosome:GRCh38:4:82874698:82891205:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:nonsense_mediated_decay -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCTCACAGGTACCACAAGTTGATTTGGGGGCCTTATAAAATGGAT -TCCAAAGGAGATGTCTCTGGAGTTCTGATTGCAGACTAA ->ENST00000514326 havana:known chromosome:GRCh38:4:82875727:82891095:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCTCACAGGTACCACAAGTTGATTTGGGGGCCTTATAAAATGGAT -TCCAAAGGAGATGTCTCTGGAGTTCTGATTGCAGGTGGTGAAAATGGAAATATTATTCTC -TATGATCCTTCTAAAATTATAGCTGGAGACAAGGAAGTTGTGATTGCCCAGAATGACAAG -CATACTGGCCCAGTGAGAGCCTTGGATGTGAACATTTTCCAGACTAATCTGGTAGCTTCT -GGTGCTAATGAATCTGAAATCTACATATGGGATCTAAATAATTTTGCAACCCCAATGACA -CCAGGAGCCAAAACACAG ->ENST00000513323 havana:known chromosome:GRCh38:4:82875731:82891018:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCTCACAGGTACCACAAGTTGATTTGGGGGCCTTATAAAATGGAT -TCCAAAGGAGATGTCTCTGGAGTTCTGATTGCAGGTGGTGAAAATGGAAATATTATTCTC -TATGATCCTTCTAAAATTATAGCTGGAGACAAGGAAGTTGTGATTGCCCAGAATGACAAG -CATACTGGCCCAGTGAGAGCCTTGGATGTGAACATTTTCCAGACTAATCTGGTAGCTTCT -GGTGCTAATGAATCTGAAATCTACATATGGGATCTAAATAATTTTGCAACCCCAATGACA -CCAGGAGCCAAAAC ->ENST00000507340 havana:known chromosome:GRCh38:4:82875785:82891240:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:nonsense_mediated_decay -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCTCACAGTTGA ->ENST00000503210 havana:known chromosome:GRCh38:4:82878888:82901166:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCTCACAGGTACCACAAGTTGATTTGGGGGCCTTATAAAATGGAT -TCCA ->ENST00000505434 havana:known chromosome:GRCh38:4:82880804:82891102:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCT ->ENST00000507676 havana:known chromosome:GRCh38:4:82880807:82900538:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCT ->ENST00000506495 havana:known chromosome:GRCh38:4:82881857:82900569:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGG ->ENST00000507051 havana:known chromosome:GRCh38:4:82881902:82900569:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCA ->ENST00000311785 ensembl:known chromosome:GRCh38:4:82818662:82891259:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCTCACAGGTACCACAAGTTGATTTGGGGGCCTTATAAAATGGAT -TCCAAAGGAGATGTCTCTGGAGTTCTGATTGCAGGTGGTGAAAATGGAAATATTATTCTC -TATGATCCTTCTAAAATTATAGCTGGAGACAAGGAAGTTGTGATTGCCCAGAATGACAAG -CATACTGGCCCAGTGAGAGCCTTGGATGTGAACATTTTCCAGACTAATCTGGTAGCTTCT -GGTGCTAATGAATCTGAAATCTACATATGGGATCTAAATAATTTTGCAACCCCAATGACA -CCAGGAGCCAAAACACAGCCGCCAGAAGATATCAGCTGCATTGCATGGAACAGACAAGTT -CAGCATATTTTAGCATCAGCCAGTCCCAGTGGCCGGGCCACTGTATGGGATCTTAGAAAA -AATGAGCCAATCATCAAAGTCAGTGACCATAGTAACAGAATGCATTGTTCTGGGTTGGCA -TGGCATCCTGATGTTGCTACTCAGATGGTCCTTGCCTCCGAGGATGACCGGTTACCAGTG -ATCCAGATGTGGGATCTTCGATTTGCTTCCTCTCCACTTCGTGTCCTGGAAAACCATGCC -AGGGGGATTTTGGCAATTGCTTGGAGCATGGCAGATCCTGAATTGTTACTGAGCTGTGGA -AAAGATGCTAAGATTCTCTGCTCCAATCCAAACACAGGAGAGGTGTTATATGAACTTCCC -ACCAACACACAGTGGTGCTTCGATATTCAGTGGTGTCCCCGAAATCCTGCTGTCTTATCA -GCTGCTTCGTTTGATGGGCGTATCAGTGTTTATTCTATCATGGGAGGTAGCACAGATGGT -TTAAGACAGAAACAAGTTGACAAGCTTTCATCATCTTTTGGGAATCTTGATCCCTTTGGC -ACAGGACAGCCCCTTCCTCCGTTACAAATTCCACAGCAGACTGCTCAGCATAGTATAGTG -CTGCCTCTGAAGAAGCCGCCCAAGTGGATTCGAAGGCCTGTTGGTGCTTCTTTTTCATTT -GGAGGCAAACTGGTTACGTTTGAGAATGTCAGAATGCCTTCTCATCAGGGAGCTGAGCAG -CAGCAGCAGCAGCACCATGTGTTCATTAGTCAGGTTGTAACAGAAAAGGAGTTCCTCAGC -CGATCAGACCAACTTCAGCAGGCTGTGCAGTCACAAGGATTTATCAATTATTGCCAAAAA -AAAATTGATGCTTCTCAGACTGAATTTGAGAAAAATGTGTGGTCCTTTTTGAAGGTAAAC -TTTGAGGATGATTCTCGTGGAAAATACCTTGAACTTCTAGGATACAGAAAAGAAGATCTA -GGAAAGAAGATTGCTTTGGCCTTGAACAAAGTGGATGGAGCCAATGTGGCTCTTAAAGAC -TCTGACCAAGTAGCACAGAGTGATGGGGAGGAGAGCCCTGCTGCTGAAGAGCAGCTCTTG -GGAGAGCACATTAAAGAGGAAAAAGAAGAATCTGAATTTCTACCCTCATCTGGAGGAACA -TTTAATATCTCTGTCAGTGGGGACATTGATGGTTTAATTACTCAGGCTTTGCTGACGGGC -AATTTTGAGAGTGCTGTTGACCTTTGTTTACATGATAACCGCATGGCCGATGCCATTATA -TTGGCCATAGCAGGTGGACAAGAACTCTTGGCTCGAACCCAGAAAAAATACTTCGCAAAA -TCCCAAAGCAAAATTACCAGGCTCATCACTGCAGTGGTGATGAAGAACTGGAAAGAGATT -GTTGAGTCTTGTGATCTTAAAAATTGGAGAGAGGCTTTAGCTGCAGTATTGACTTATGCA -AAGCCGGATGAATTTTCAGCCCTTTGTGATCTTTTGGGAACCAGGCTTGAAAATGAAGGA -GATAGCCTCCTGCAGACTCAAGCATGTCTCTGCTATATTTGTGCAGGGAATGTAGAGAAA -TTAGTTGCATGTTGGACTAAAGCTCAAGATGGAAGCCACCCTTTGTCACTTCAGGATCTG -ATTGAGAAAGTTGTCATCCTGCGAAAAGCTGTGCAACTCACTCAAGCCATGGACACTAGT -ACTGTAGGAGTTCTCTTGGCTGCGAAGATGAGTCAGTATGCCAATTTGTTGGCAGCTCAG -GGCAGTATTGCTGCAGCCTTGGCTTTTCTTCCTGACAACACCAACCAGCCAAATATCATG -CAGCTTCGTGACAGACTTTGTAGAGCACAAGGAGAGCCTGTAGCAGGACATGAATCACCT -AAAATTCCGTACGAGAAACAGCAGCTCCCCAAGGGCAGGCCTGGACCAGTTGCTGGCCAC -CACCAGATGCCAAGAGTTCAAACTCAACAATATTATCCCCATGGAGAAAATCCTCCACCT -CCGGGTTTCATAATGCATGGAAATGTTAATCCAAATGCTGCTGGTCAGCTTCCCACATCT -CCAGGTCATATGCACACCCAGGTACCACCTTATCCACAGCCACAGCGTCCTCAGAATGGT -TGGAATGACCCTCCAGCTTTGAACAGAGTACCCAAAAAGAAGAAGATGCCTGAAAACTTC -ATGCCTCCTGTTCCCATCACATCACCAATCATGAACCCGTTGGGTGACCCCCAGTCACAA -ATGCTGCAGCAACAGCCTTCAGCTCCAGTACCACTGTCAAGCCAGTCTTCATTCCCACAG -CCACATCTTCCAGGTGGCCAGCCCTTCCATGGCGTACAGCAACCTCTTGGTCAAACAGGC -ATGCCACCATCTTTTTCAAAGCCCAATATTGAAGGTGCCCCAGGGGCTCCTATTGGAAAT -ACCTTCCAGCATGTGCAGTCTTTGCCAACAAAAAAAATTACCAAGAAACCTATTCCAGAT -GAGCACCTCATTCTAAAGACCACATTTGAGGATCTTATTCAGCGCTGCCTTTCTTCAGCA -ACAGACCCTCAAACCAAGAGGAAGCTAGATGATGCCAGCAAACGTTTGGAGTTTCTGTAT -GATAAACTTAGGGAACAGACACTTTCACCAACAATCACCAGTGGTTTACACAACATTGCA -AGGAGCATTGAAACTCGAAACTACTCAGAAGGATTGACCATGCATACCCACATAGTTAGC -ACCAGCAACTTCAGTGAGACCTCTGCTTTCATGCCAGTTCTCAAAGTTGTTCTCACCCAG -GCCAATAAGCTGGGTGTCTAA ->ENST00000448323 ensembl:known chromosome:GRCh38:4:82818662:82891266:-1 gene:ENSG00000138674 gene_biotype:protein_coding transcript_biotype:protein_coding -ATGAAGTTAAAGGAAGTAGATCGTACAGCCATGCAGGCATGGAGCCCTGCCCAGAATCAC -CCCATTTACCTAGCAACAGGAACATCTGCTCAGCAATTGGATGCAACATTTAGTACGAAT -GCTTCCCTTGAGATATTTGAATTAGACCTCTCTGATCCATCCTTGGATATGAAATCTTGT -GCCACATTCTCCTCTTCTCACAGGTACCACAAGTTGATTTGGGGGCCTTATAAAATGGAT -TCCAAAGGAGATGTCTCTGGAGTTCTGATTGCAGGTGGTGAAAATGGAAATATTATTCTC -TATGATCCTTCTAAAATTATAGCTGGAGACAAGGAAGTTGTGATTGCCCAGAATGACAAG -CATACTGGCCCAGTGAGAGCCTTGGATGTGAACATTTTCCAGACTAATCTGGTAGCTTCT -GGTGCTAATGAATCTGAAATCTACATATGGGATCTAAATAATTTTGCAACCCCAATGACA -CCAGGAGCCAAAACACAGCCGCCAGAAGATATCAGCTGCATTGCATGGAACAGACAAGTT -CAGCATATTTTAGCATCAGCCAGTCCCAGTGGCCGGGCCACTGTATGGGATCTTAGAAAA -AATGAGCCAATCATCAAAGTCAGTGACCATAGTAACAGAATGCATTGTTCTGGGTTGGCA -TGGCATCCTGATGTTGCTACTCAGATGGTCCTTGCCTCCGAGGATGACCGGTTACCAGTG -ATCCAGATGTGGGATCTTCGATTTGCTTCCTCTCCACTTCGTGTCCTGGAAAACCATGCC -AGGGGGATTTTGGCAATTGCTTGGAGCATGGCAGATCCTGAATTGTTACTGAGCTGTGGA -AAAGATGCTAAGATTCTCTGCTCCAATCCAAACACAGGAGAGGTGTTATATGAACTTCCC -ACCAACACACAGTGGTGCTTCGATATTCAGTGGTGTCCCCGAAATCCTGCTGTCTTATCA -GCTGCTTCGTTTGATGGGCGTATCAGTGTTTATTCTATCATGGGAGGTAGCACAGATGGT -TTAAGACAGAAACAAGTTGACAAGCTTTCATCATCTTTTGGGAATCTTGATCCCTTTGGC -ACAGGACAGCCCCTTCCTCCGTTACAAATTCCACAGCAGACTGCTCAGCATAGTATAGTG -CTGCCTCTGAAGAAGCCGCCCAAGTGGATTCGAAGGCCTGTTGGTGCTTCTTTTTCATTT -GGAGGCAAACTGGTTACGTTTGAGAATGTCAGAATGCCTTCTCATCAGGGAGCTGAGCAG -CAGCAGCAGCAGCACCATGTGTTCATTAGTCAGGTTGTAACAGAAAAGGAGTTCCTCAGC -CGATCAGACCAACTTCAGCAGGCTGTGCAGTCACAAGGATTTATCAATTATTGCCAAAAA -AAAATTGATGCTTCTCAGACTGAATTTGAGAAAAATGTGTGGTCCTTTTTGAAGGTAAAC -TTTGAGGATGATTCTCGTGGAAAATACCTTGAACTTCTAGGATACAGAAAAGAAGATCTA -GGAAAGAAGATTGCTTTGGCCTTGAACAAAGTGGATGGAGCCAATGTGGCTCTTAAAGAC -TCTGACCAAGTAGCACAGAGTGATGGGGAGGAGAGCCCTGCTGCTGAAGAGCAGCTCTTG -GGAGAGCACATTAAAGAGGAAAAAGAAGAATCTGAATTTCTACCCTCATCTGGAGGAACA -TTTAATATCTCTGTCAGTGGGGACATTGATGGTTTAATTACTCAGGCTTTGCTGACGGGC -AATTTTGAGAGTGCTGTTGACCTTTGTTTACATGATAACCGCATGGCCGATGCCATTATA -TTGGCCATAGCAGGTGGACAAGAACTCTTGGCTCGAACCCAGAAAAAATACTTCGCAAAA -TCCCAAAGCAAAATTACCAGGCTCATCACTGCAGTGGTGATGAAGAACTGGAAAGAGATT -GTTGAGTCTTGTGATCTTAAAAATTGGAGAGAGGCTTTAGCTGCAGTATTGACTTATGCA -AAGCCGGATGAATTTTCAGCCCTTTGTGATCTTTTGGGAACCAGGCTTGAAAATGAAGGA -GATAGCCTCCTGCAGACTCAAGCATGTCTCTGCTATATTTGTGCAGGGAATGTAGAGAAA -TTAGTTGCATGTTGGACTAAAGCTCAAGATGGAAGCCACCCTTTGTCACTTCAGGATCTG -ATTGAGAAAGTTGTCATCCTGCGAAAAGCTGTGCAACTCACTCAAGCCATGGACACTAGT -ACTGTAGGAGTTCTCTTGGCTGCGAAGATGAGTCAGTATGCCAATTTGTTGGCAGCTCAG -GGCAGTATTGCTGCAGCCTTGGCTTTTCTTCCTGACAACACCAACCAGCCAAATATCATG -CAGCTTCGTGACAGACTTTGTAGAGCACAAGGAGAGCCTGTAGCAGGACATGAATCACCT -AAAATTCCGTACGAGAAACAGCAGCTCCCCAAGGGCAGGCCTGGACCAGTTGCTGGCCAC -CACCAGATGCCAAGAGTTCAAACTCAACAATATTATCCCCATGGAGAAAATCCTCCACCT -CCGGGTTTCATAATGCATGGAAATGTTAATCCAAATGCTGCTGGTCAGCTTCCCACATCT -CCAGGTCATATGCACACCCAGGTACCACCTTATCCACAGCCACAGCCTTATCAACCAGCC -CAGCCGTATCCCTTCGGAACAGGGGGGTCAGCAATGTATCGACCTCAGCAGCCTGTTGCT -CCTCCTACTTCAAACGCTTACCCTAACACCCCTTACATATCTTCTGCTTCTTCCTATACT -GGGCAGTCTCAGCTGTACGCAGCACAGCACCAGGCCTCTTCACCTACCTCCAGCCCTGCT -ACTTCTTTCCCTCCTCCCCCTTCCTCTGGAGCATCCTTCCAGCATGGCGGACCAGGAGCT -CCACCATCATCTTCAGCTTATGCACTGCCTCCTGGAACAACAGGTACACTGCCTGCTGCC -AGTGAGCTGCCTGCGTCCCAAAGAACAGGTCCTCAGAATGGTTGGAATGACCCTCCAGCT -TTGAACAGAGTACCCAAAAAGAAGAAGATGCCTGAAAACTTCATGCCTCCTGTTCCCATC -ACATCACCAATCATGAACCCGTTGGGTGACCCCCAGTCACAAATGCTGCAGCAACAGCCT -TCAGCTCCAGTACCACTGTCAAGCCAGTCTTCATTCCCACAGCCACATCTTCCAGGTGGC -CAGCCCTTCCATGGCGTACAGCAACCTCTTGGTCAAACAGGCATGCCACCATCTTTTTCA -AAGCCCAATATTGAAGGTGCCCCAGGGGCTCCTATTGGAAATACCTTCCAGCATGTGCAG -TCTTTGCCAACAAAAAAAATTACCAAGAAACCTATTCCAGATGAGCACCTCATTCTAAAG -ACCACATTTGAGGATCTTATTCAGCGCTGCCTTTCTTCAGCAACAGACCCTCAAACCAAG -AGGAAGCTAGATGATGCCAGCAAACGTTTGGAGTTTCTGTATGATAAACTTAGGGAACAG -ACACTTTCACCAACAATCACCAGTGGTTTACACAACATTGCAAGGAGCATTGAAACTCGA -AACTACTCAGAAGGATTGACCATGCATACCCACATAGTTAGCACCAGCAACTTCAGTGAG -ACCTCTGCTTTCATGCCAGTTCTCAAAGTTGTTCTCACCCAGGCCAATAAGCTGGGTGTC -TAA diff --git a/Fred2/Data/examples/Homo_sapiens.GRCh38.pep.test_stub.fa b/Fred2/Data/examples/Homo_sapiens.GRCh38.pep.test_stub.fa deleted file mode 100644 index 30b10d2b..00000000 --- a/Fred2/Data/examples/Homo_sapiens.GRCh38.pep.test_stub.fa +++ /dev/null @@ -1,355 +0,0 @@ ->ENSP00000422371 pep:known chromosome:GRCh38:4:82818661:82844460:-1 gene:ENSG00000138674 transcript:ENST00000503937 gene_biotype:protein_coding transcript_biotype:protein_coding -XNAAGQLPTSPGHMHTQVPPYPQPQPYQPAQPYPFGTGGSAMYRPQQPVAPPTSNAYPNT -PYISSASSYTGQSQLYAAQHQASSPTSSPATSFPPPPSSGASFQHGGPGAPPSSSAYALP -PGTTGTLPAASELPASQRTENQSIQDQAPMLEGPQNGWNDPPALNRVPKKKKMPENFMPP -VPITSPIMNPLGDPQSQMLQQQPSAPVPLSSQSSFPQPHLPGGQPFHGVQQPLGQTGMPP -SFSKPNIEGAPGAPIGNTFQHVQSLPTKKITKKPIPDEHLILKTTFEDLIQRCLSSATDP -QTKRKLDDASKRLEFLYDKLREQTLSPTITSGLHNIARSIETRNYSEGLTMHTHIVSTSN -FSETSAFMPVLKVVLTQANKLGV ->ENSP00000337602 pep:known chromosome:GRCh38:4:82818661:82891136:-1 gene:ENSG00000138674 transcript:ENST00000348405 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSSHRYHKLIWGPYKMDSKGDVSGVLIAGGENGNIILYDPSKIIAGDKEVVIAQNDK -HTGPVRALDVNIFQTNLVASGANESEIYIWDLNNFATPMTPGAKTQPPEDISCIAWNRQV -QHILASASPSGRATVWDLRKNEPIIKVSDHSNRMHCSGLAWHPDVATQMVLASEDDRLPV -IQMWDLRFASSPLRVLENHARGILAIAWSMADPELLLSCGKDAKILCSNPNTGEVLYELP -TNTQWCFDIQWCPRNPAVLSAASFDGRISVYSIMGGSTDGLRQKQVDKLSSSFGNLDPFG -TGQPLPPLQIPQQTAQHSIVLPLKKPPKWIRRPVGASFSFGGKLVTFENVRMPSHQGAEQ -QQQQHHVFISQVVTEKEFLSRSDQLQQAVQSQGFINYCQKKIDASQTEFEKNVWSFLKVN -FEDDSRGKYLELLGYRKEDLGKKHIKEEKEESEFLPSSGGTFNISVSGDIDGLITQALLT -GNFESAVDLCLHDNRMADAIILAIAGGQELLARTQKKYFAKSQSKITRLITAVVMKNWKE -IVESCDLKNWREALAAVLTYAKPDEFSALCDLLGTRLENEGDSLLQTQACLCYICAGNVE -KLVACWTKAQDGSHPLSLQDLIEKVVILRKAVQLTQAMDTSTVGVLLAAKMSQYANLLAA -QGSIAAALAFLPDNTNQPNIMQLRDRLCRAQGEPVAGHESPKIPYEKQQLPKGRPGPVAG -HHQMPRVQTQQYYPHGENPPPPGFIMHGNVNPNAAGQLPTSPGHMHTQVPPYPQPQPYQP -AQPYPFGTGGSAMYRPQQPVAPPTSNAYPNTPYISSASSYTGQSQLYAAQHQASSPTSSP -ATSFPPPPSSGASFQHGGPGAPPSSSAYALPPGTTGTLPAASELPASQRTGPQNGWNDPP -ALNRVPKKKKMPENFMPPVPITSPIMNPLGDPQSQMLQQQPSAPVPLSSQSSFPQPHLPG -GQPFHGVQQPLGQTGMPPSFSKPNIEGAPGAPIGNTFQHVQSLPTKKITKKPIPDEHLIL -KTTFEDLIQRCLSSATDPQTKRKLDDASKRLEFLYDKLREQTLSPTITSGLHNIARSIET -RNYSEGLTMHTHIVSTSNFSETSAFMPVLKVVLTQANKLGV ->ENSP00000426886 pep:known chromosome:GRCh38:4:82818661:82891153:-1 gene:ENSG00000138674 transcript:ENST00000513858 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSSHRYHKLIWGPYKMDSKGDVSGVLIAGGENGNIILYDPSKIIAGDKEVVIAQNDK -HTGPVRALDVNIFQTNLVASGANESEIYIWDLNNFATPMTPGAKTQPPEDISCIAWNRQV -QHILASASPSGRATVWDLRKNEPIIKVSDHSNRMHCSGLAWHPDVATQMVLASEDDRLPV -IQMWDLRFASSPLRVLENHARGILAIAWSMADPELLLSCGKDAKILCSNPNTGEVLYELP -TNTQWCFDIQWCPRNPAVLSAASFDGRISVYSIMGGSTDGLRQKQVDKLSSSFGNLDPFG -TGQPLPPLQIPQQTAQHSIVLPLKKPPKWIRRPVGASFSFGGKLVTFENVRMPSHQGAEQ -QQQQHHVFISQVVTEKEFLSRSDQLQQAVQSQGFINYCQKKIDASQTEFEKNVWSFLKVN -FEDDSRGKYLELLGYRKEDLGKKHIKEEKEESEFLPSSGGTFNISVSGDIDGLITQALLT -GNFESAVDLCLHDNRMADAIILAIAGGQELLARTQKKYFAKSQSKITRLITAVVMKNWKE -IVESCDLKNWREALAAVLTYAKPDEFSALCDLLGTRLENEGDSLLQTQACLCYICAGNVE -KLVACWTKAQDGSHPLSLQDLIEKVVILRKAVQLTQAMDTSTVGVLLAAKMSQYANLLAA -QGSIAAALAFLPDNTNQPNIMQLRDRLCRAQGEPVAGHESPKIPYEKQQLPKGRPGPVAG -HHQMPRVQTQQYYPHGENPPPPGFIMHGNVNPNAAGQLPTSPGHMHTQVPPYPQPQRPQN -GWNDPPALNRVPKKKKMPENFMPPVPITSPIMNPLGDPQSQMLQQQPSAPVPLSSQSSFP -QPHLPGGQPFHGVQQPLGQTGMPPSFSKPNIEGAPGAPIGNTFQHVQSLPTKKITKKPIP -DEHLILKTTFEDLIQRCLSSATDPQTKRKLDDASKRLEFLYDKLREQTLSPTITSGLHNI -ARSIETRNYSEGLTMHTHIVSTSNFSETSAFMPVLKVVLTQANKLGV ->ENSP00000378721 pep:known chromosome:GRCh38:4:82818661:82891266:-1 gene:ENSG00000138674 transcript:ENST00000395310 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSSHRYHKLIWGPYKMDSKGDVSGVLIAGGENGNIILYDPSKIIAGDKEVVIAQNDK -HTGPVRALDVNIFQTNLVASGANESEIYIWDLNNFATPMTPGAKTQPPEDISCIAWNRQV -QHILASASPSGRATVWDLRKNEPIIKVSDHSNRMHCSGLAWHPDVATQMVLASEDDRLPV -IQMWDLRFASSPLRVLENHARGILAIAWSMADPELLLSCGKDAKILCSNPNTGEVLYELP -TNTQWCFDIQWCPRNPAVLSAASFDGRISVYSIMGGSTDGLRQKQVDKLSSSFGNLDPFG -TGQPLPPLQIPQQTAQHSIVLPLKKPPKWIRRPVGASFSFGGKLVTFENVRMPSHQGAEQ -QQQQHHVFISQVVTEKEFLSRSDQLQQAVQSQGFINYCQKKIDASQTEFEKNVWSFLKVN -FEDDSRGKYLELLGYRKEDLGKKIALALNKVDGANVALKDSDQVAQSDGEESPAAEEQLL -GEHIKEEKEESEFLPSSGGTFNISVSGDIDGLITQALLTGNFESAVDLCLHDNRMADAII -LAIAGGQELLARTQKKYFAKSQSKITRLITAVVMKNWKEIVESCDLKNWREALAAVLTYA -KPDEFSALCDLLGTRLENEGDSLLQTQACLCYICAGNVEKLVACWTKAQDGSHPLSLQDL -IEKVVILRKAVQLTQAMDTSTVGVLLAAKMSQYANLLAAQGSIAAALAFLPDNTNQPNIM -QLRDRLCRAQGEPVAGHESPKIPYEKQQLPKGRPGPVAGHHQMPRVQTQQYYPHGENPPP -PGFIMHGNVNPNAAGQLPTSPGHMHTQVPPYPQPQPYQPAQPYPFGTGGSAMYRPQQPVA -PPTSNAYPNTPYISSASSYTGQSQLYAAQHQASSPTSSPATSFPPPPSSGASFQHGGPGA -PPSSSAYALPPGTTGTLPAASELPASQRTGPQNGWNDPPALNRVPKKKKMPENFMPPVPI -TSPIMNPLGDPQSQMLQQQPSAPVPLSSQSSFPQPHLPGGQPFHGVQQPLGQTGMPPSFS -KPNIEGAPGAPIGNTFQHVQSLPTKKITKKPIPDEHLILKTTFEDLIQRCLSSATDPQTK -RKLDDASKRLEFLYDKLREQTLSPTITSGLHNIARSIETRNYSEGLTMHTHIVSTSNFSE -TSAFMPVLKVVLTQANKLGV ->ENSP00000408027 pep:known chromosome:GRCh38:4:82818662:82891178:-1 gene:ENSG00000138674 transcript:ENST00000443462 gene_biotype:protein_coding transcript_biotype:protein_coding -MLGESDERCTNAGSGCRRSSPGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSCATFSS -SHRYHKLIWGPYKMDSKGDVSGVLIAGGENGNIILYDPSKIIAGDKEVVIAQNDKHTGPV -RALDVNIFQTNLVASGANESEIYIWDLNNFATPMTPGAKTQPPEDISCIAWNRQVQHILA -SASPSGRATVWDLRKNEPIIKVSDHSNRMHCSGLAWHPDVATQMVLASEDDRLPVIQMWD -LRFASSPLRVLENHARGILAIAWSMADPELLLSCGKDAKILCSNPNTGEVLYELPTNTQW -CFDIQWCPRNPAVLSAASFDGRISVYSIMGGSTDGLRQKQVDKLSSSFGNLDPFGTGQPL -PPLQIPQQTAQHSIVLPLKKPPKWIRRPVGASFSFGGKLVTFENVRMPSHQGAEQQQQQH -HVFISQVVTEKEFLSRSDQLQQAVQSQGFINYCQKKIDASQTEFEKNVWSFLKVNFEDDS -RGKYLELLGYRKEDLGKKIALALNKVDGANVALKDSDQVAQSDGEESPAAEEQLLGEHIK -EEKEESEFLPSSGGTFNISVSGDIDGLITQALLTGNFESAVDLCLHDNRMADAIILAIAG -GQELLARTQKKYFAKSQSKITRLITAVVMKNWKEIVESCDLKNWREALAAVLTYAKPDEF -SALCDLLGTRLENEGDSLLQTQACLCYICAGNVEKLVACWTKAQDGSHPLSLQDLIEKVV -ILRKAVQLTQAMDTSTVGVLLAAKMSQYANLLAAQGSIAAALAFLPDNTNQPNIMQLRDR -LCRAQGEPVAGHESPKIPYEKQQLPKGRPGPVAGHHQMPRVQTQQYYPHGENPPPPGFIM -HGNVNPNAAGQLPTSPGHMHTQVPPYPQPQPYQPAQPYPFGTGGSAMYRPQQPVAPPTSN -AYPNTPYISSASSYTGQSQLYAAQHQASSPTSSPATSFPPPPSSGASFQHGGPGAPPSSS -AYALPPGTTGPQNGWNDPPALNRVPKKKKMPENFMPPVPITSPIMNPLGDPQSQMLQQQP -SAPVPLSSQSSFPQPHLPGGQPFHGVQQPLGQTGMPPSFSKPNIEGAPGAPIGNTFQHVQ -SLPTKKITKKPIPDEHLILKTTFEDLIQRCLSSATDPQTKRKLDDASKRLEFLYDKLREQ -TLSPTITSGLHNIARSIETRNYSEGLTMHTHIVSTSNFSETSAFMPVLKVVLTQANKLGV ->ENSP00000426569 pep:known chromosome:GRCh38:4:82818662:82891214:-1 gene:ENSG00000138674 transcript:ENST00000509142 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSSHRYHKLIWGPYKMDSKGDVSGVLIAGGENGNIILYDPSKIIAGDKEVVIAQNDK -HTGPVRALDVNIFQTNLVASGANESEIYIWDLNNFATPMTPGAKTQPPEDISCIAWNRQV -QHILASASPSGRATVWDLRKNEPIIKVSDHSNRMHCSGLAWHPDVATQMVLASEDDRLPV -IQMWDLRFASSPLRVLENHARGILAIAWSMADPELLLSCGKDAKILCSNPNTGEVLYELP -TNTQWCFDIQWCPRNPAVLSAASFDGRISVYSIMGGSTDGLRQKQVDKLSSSFGNLDPFG -TGQPLPPLQIPQQTAQHSIVLPLKKPPKWIRRPVGASFSFGGKLVTFENVRMPSHQGAEQ -QQQQHHVFISQVVTEKEFLSRSDQLQQAVQSQGFINYCQKKIDASQTEFEKNVWSFLKVN -FEDDSRGKYLELLGYRKEDLGKKIALALNKVDGANVALKDSDQVAQSDGEESPAAEEQLL -GEHIKEEKEESEFLPSSGGTFNISVSGDIDGLITQALLTGNFESAVDLCLHDNRMADAII -LAIAGGQELLARTQKKYFAKSQSKITRLITAVVMKNWKEIVESCDLKNWREALAAVLTYA -KPDEFSALCDLLGTRLENEGDSLLQTQACLCYICAGNVEKLVACWTKAQDGSHPLSLQDL -IEKVVILRKAVQLTQAMDTSTVGVLLAAKMSQYANLLAAQGSIAAALAFLPDNTNQPNIM -QLRDRLCRAQGEPVAGHESPKIPYEKQQLPKGRPGPVAGHHQMPRVQTQQYYPHGENPPP -PGFIMHGNVNPNAAGQLPTSPGHMHTQVPPYPQPQRPQNGWNDPPALNRVPKKKKMPENF -MPPVPITSPIMNPLGDPQSQMLQQQPSAPVPLSSQSSFPQPHLPGGQPFHGVQQPLGQTG -MPPSFSKPNIEGAPGAPIGNTFQHVQSLPTKKITKKPIPDEHLILKTTFEDLIQRCLSSA -TDPQTKRKLDDASKRLEFLYDKLREQTLSPTITSGLHNIARSIETRNYSEGLTMHTHIVS -TSNFSETSAFMPVLKVVLTQANKLGV ->ENSP00000421633 pep:known chromosome:GRCh38:4:82818672:82881937:-1 gene:ENSG00000138674 transcript:ENST00000505472 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSSHRYHKLIWGPYKMDSKGDVSGVLIAGGENGNIILYDPSKIIAGDKEVVIAQNDK -HTGPVRALDVNIFQTNLVASGANESEIYIWDLNNFATPMTPGAKTQPPEDISCIAWNRQV -QHILASASPSGRATVWDLRKNEPIIKVSDHSNRMHCSGLAWHPDVATQMVLASEDDRLPV -IQMWDLRFASSPLRVLENHARGILAIAWSMADPELLLSCGKDAKILCSNPNTGEVLYELP -TNTQWCFDIQWCPRNPAVLSAASFDGRISVYSIMGGSTDGLRQKQVDKLSSSFGNLDPFG -TGQPLPPLQIPQQTAQHSIVLPLKKPPKWIRRPVGASFSFGGKLVTFENVRMPSHQGAEQ -QQQQHHVFISQVVTEKEFLSRSDQLQQAVQSQGFINYCQKKIDASQTEFEKNVWSFLKVN -FEDDSRGKYLELLGYRKEDLGKKIALALNKVDGANVALKDSDQVAQSDGEESPAAEEQLL -GEHIKEEKEESEFLPSSGGTFNISVSGDIDGLITQALLTGNFESAVDLCLHDNRMADAII -LAIAGGQELLARTQKKYFAKSQSKITRLITAVVMKNWKEIVESCDLKNWREALAAVLTYA -KPDEFSALCDLLGTRLENEGDSLLQTQACLCYICAGNVEKLVACWTKAQDGSHPLSLQDL -IEKVVILRKAVQLTQAMDTSTVGVLLAAKMSQYANLLAAQGSIAAALAFLPDNTNQPNIM -QLRDRLCRAQGEPVAGHESPKIPYEKQQLPKGRPGPVAGHHQMPRVQTQQYYPHVRIAPT -VTTWSNKTPTALPSHPPAASPSDTQGENPPPPGFIMHGNVNPNAAGQLPTSPGHMHTQVP -PYPQPQPYQPAQPYPFGTGGSAMYRPQQPVAPPTSNAYPNTPYISSASSYTGQSQLYAAQ -HQASSPTSSPATSFPPPPSSGASFQHGGPGAPPSSSAYALPPGTTGTLPAASELPASQRT -GPQNGWNDPPALNRVPKKKKMPENFMPPVPITSPIMNPLGDPQSQMLQQQPSAPVPLSSQ -SSFPQPHLPGGQPFHGVQQPLGQTGMPPSFSKPNIEGAPGAPIGNTFQHVQSLPTKKITK -KPIPDEHLILKTTFEDLIQRCLSSATDPQTKRKLDDASKRLEFLYDKLREQTLSPTITSG -LHNIARSIETRNYSEGLTMHTHIVSTSNFSETSAFMPVLKVVLTQANKLGV ->ENSP00000421464 pep:known chromosome:GRCh38:4:82818672:82881940:-1 gene:ENSG00000138674 transcript:ENST00000500777 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSSHRYHKLIWGPYKMDSKGDVSGVLIAGGENGNIILYDPSKIIAGDKEVVIAQNDK -HTGPVRALDVNIFQTNLVASGANESEIYIWDLNNFATPMTPGAKTQPPEDISCIAWNRQV -QHILASASPSGRATVWDLRKNEPIIKVSDHSNRMHCSGLAWHPDVATQMVLASEDDRLPV -IQMWDLRFASSPLRVLENHARGILAIAWSMADPELLLSCGKDAKILCSNPNTGEVLYELP -TNTQWCFDIQWCPRNPAVLSAASFDGRISVYSIMGGSTDGLRQKQVDKLSSSFGNLDPFG -TGQPLPPLQIPQQTAQHSIVLPLKKPPKWIRRPVGASFSFGGKLVTFENVRMPSHQGAEQ -QQQQHHVFISQVVTEKEFLSRSDQLQQAVQSQGFINYCQKKIDASQTEFEKNVWSFLKVN -FEDDSRGKYLELLGYRKEDLGKKHIKEEKEESEFLPSSGGTFNISVSGDIDGLITQALLT -GNFESAVDLCLHDNRMADAIILAIAGGQELLARTQKKYFAKSQSKITRLITAVVMKNWKE -IVESCDLKNWREALAAVLTYAKPDEFSALCDLLGTRLENEGDSLLQTQACLCYICAGNVE -KLVACWTKAQDGSHPLSLQDLIEKVVILRKAVQLTQAMDTSTVGVLLAAKMSQYANLLAA -QGSIAAALAFLPDNTNQPNIMQLRDRLCRAQGEPVAGHESPKIPYEKQQLPKGRPGPVAG -HHQMPRVQTQQYYPHGENPPPPGFIMHGNVNPNAAGQLPTSPGHMHTQVPPYPQPQRPQN -GWNDPPALNRVPKKKKMPENFMPPVPITSPIMNPLGDPQSQMLQQQPSAPVPLSSQSSFP -QPHLPGGQPFHGVQQPLGQTGMPPSFSKPNIEGAPGAPIGNTFQHVQSLPTKKITKKPIP -DEHLILKTTFEDLIQRCLSSATDPQTKRKLDDASKRLEFLYDKLREQTLSPTITSGLHNI -ARSIETRNYSEGLTMHTHIVSTSNFSETSAFMPVLKVVLTQANKLGV ->ENSP00000424635 pep:known chromosome:GRCh38:4:82819011:82891203:-1 gene:ENSG00000138674 transcript:ENST00000508502 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSSHRYHKLIWGPYKMDSKGDVSGVLIAGGENGNIILYDPSKIIAGDKEVVIAQNDK -HTGPVRALDVNIFQTNLVASGANESEIYIWDLNNFATPMTPGAKTQPPEDISCIAWNRQV -QHILASASPSGRATVWDLRKNEPIIKVSDHSNRMHCSGLAWHPDVATQMVLASEDDRLPV -IQMWDLRFASSPLRVLENHARGILAIAWSMADPELLLSCGKDAKILCSNPNTGEVLYELP -TNTQWCFDIQWCPRNPAVLSAASFDGRISVYSIMGGSTDGLRQKQVDKLSSSFGNLDPFG -TGQPLPPLQIPQQTAQHSIVLPLKKPPKWIRRPVGASFSFGGKLVTFENVRMPSHQGAEQ -QQQQHHVFISQVVTEKEFLSRSDQLQQAVQSQGFINYCQKKIDASQTEFEKNVWSFLKVN -FEDDSRGKYLELLGYRKEDLGKKIALALNKVDGANVALKDSDQVAQSDGEESPAAEEQLL -GEHIKEEKEESEFLPSSGGTFNISVSGDIDGLITQALLTGNFESAVDLCLHDNRMADAII -LAIAGGQELLARTQKKYFAKSQSKITRLITAVVMKNWKEIVESCDLKNWREALAAVLTYA -KPDEFSALCDLLGTRLENEGDSLLQTQACLCYICAGNVEKLVACWTKAQDGSHPLSLQDL -IEKVVILRKAVQLTQAMDTSTVGVLLAAKMSQYANLLAAQGSIAAALAFLPDNTNQPNIM -QLRDRLCRAQGEPVAGHESPKIPYEKQQLPKGRPGPVAGHHQMPRVQTQQYYPHGENPPP -PGFIMHGNVNPNAAGQLPTSPGHMHTQVPPYPQPQPYQPAQPYPFGTGGSAMYRPQQPVA -PPTSNAYPNTPYISSASSYTGQSQLYAAQHQASSPTSSPATSFPPPPSSGASFQHGGPGA -PPSSSAYALPPGTTGPQNGWNDPPALNRVPKKKKMPENFMPPVPITSPIMNPLGDPQSQM -LQQQPSAPVPLSSQSSFPQPHLPGGQPFHGVQQPLGQTGMPPSFSKPNIEGAPGAPIGNT -FQHVQSLPTKKITKKPIPDEHLILKTTFEDLIQRCLSSATDPQTKRKLDDASKRLEFLYD -KLREQTLSPTITSGLHNIARSIETRNYSEGLTMHTHIVSTSNFSETSAFMPVLKVVLTQA -NKLGV ->ENSP00000347329 pep:known chromosome:GRCh38:4:82819011:82900538:-1 gene:ENSG00000138674 transcript:ENST00000355196 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSSHRYHKLIWGPYKMDSKGDVSGVLIAGGENGNIILYDPSKIIAGDKEVVIAQNDK -HTGPVRALDVNIFQTNLVASGANESEIYIWDLNNFATPMTPGAKTQPPEDISCIAWNRQV -QHILASASPSGRATVWDLRKNEPIIKVSDHSNRMHCSGLAWHPDVATQMVLASEDDRLPV -IQMWDLRFASSPLRVLENHARGILAIAWSMADPELLLSCGKDAKILCSNPNTGEVLYELP -TNTQWCFDIQWCPRNPAVLSAASFDGRISVYSIMGGSTDGLRQKQVDKLSSSFGNLDPFG -TGQPLPPLQIPQQTAQHSIVLPLKKPPKWIRRPVGASFSFGGKLVTFENVRMPSHQGAEQ -QQQQHHVFISQVVTEKEFLSRSDQLQQAVQSQGFINYCQKKIDASQTEFEKNVWSFLKVN -FEDDSRGKYLELLGYRKEDLGKKIALALNKVDGANVALKDSDQVAQSDGEESPAAEEQLL -GEHIKEEKEESEFLPSSGGTFNISVSGDIDGLITQALLTGNFESAVDLCLHDNRMADAII -LAIAGGQELLARTQKKYFAKSQSKITRLITAVVMKNWKEIVESCDLKNWREALAAVLTYA -KPDEFSALCDLLGTRLENEGDSLLQTQACLCYICAGNVEKLVACWTKAQDGSHPLSLQDL -IEKVVILRKAVQLTQAMDTSTVGVLLAAKMSQYANLLAAQGSIAAALAFLPDNTNQPNIM -QLRDRLCRAQGEPVAGHESPKIPYEKQQLPKGRPGPVAGHHQMPRVQTQQYYPHGENPPP -PGFIMHGNVNPNAAGQLPTSPGHMHTQVPPYPQPQPYQPAQPYPFGTGGSAMYRPQQPVA -PPTSNAYPNTPYISSASSYTGQSQLYAAQHQASSPTSSPATSFPPPPSSGASFQHGGPGA -PPSSSAYALPPGTTGTLPAASELPASQRTGPQNGWNDPPALNRVPKKKKMPENFMPPVPI -TSPIMNPLGDPQSQMLQQQPSAPVPLSSQSSFPQPHLPGGQPFHGVQQPLGQTGMPPSFS -KPNIEGAPGAPIGNTFQHVQSLPTKKITKKPIPDEHLILKTTFEDLIQRCLSSATDPQTK -RKLDDASKRLEFLYDKLREQTLSPTITSGLHNIARSIETRNYSEGLTMHTHIVSTSNFSE -TSAFMPVLKVVLTQANKLGV ->ENSP00000426943 pep:known chromosome:GRCh38:4:82819021:82827612:-1 gene:ENSG00000138674 transcript:ENST00000515062 gene_biotype:protein_coding transcript_biotype:protein_coding -XPVPITSPIMNPLGDPQSQMLQQQPSAPVPLSSQSSFPQPHLPGGQPFHGVQQPLGQTGM -PPSFSKPNIEGAPGAPIGNTFQHVQSLPTKKITKKPIPDEHLILKTTFEDLIQRCLSSAT -DPLSPTITSGLHNIARSIETRNYSEGLTMHTHIVSTSNFSETSAFMPVLKVVLTQANKLG -V ->ENSP00000264405 pep:known chromosome:GRCh38:4:82819022:82871950:-1 gene:ENSG00000138674 transcript:ENST00000264405 gene_biotype:protein_coding transcript_biotype:protein_coding -MVKLVLLSIVLLKVTVPKLSNDLLQLDFMPIHRGILAIAWSMADPELLLSCGKDAKILCS -NPNTGEVLYELPTNTQWCFDIQWCPRNPAVLSAASFDGRISVYSIMGGSTDGLRQKQVDK -LSSSFGNLDPFGTGQPLPPLQIPQQTAQHSIVLPLKKPPKWIRRPVGASFSFGGKLVTFE -NVRMPSHQGAEQQQQQHHVFISQVVTEKEFLSRSDQLQQAVQSQGFINYCQKKIDASQTE -FEKNVWSFLKVNFEDDSRGKYLELLGYRKEDLGKKHIKEEKEESEFLPSSGGTFNISVSG -DIDGLITQALLTGNFESAVDLCLHDNRMADAIILAIAGGQELLARTQKKYFAKSQSKITR -LITAVVMKNWKEIVESCDLKNWREALAAVLTYAKPDEFSALCDLLGTRLENEGDSLLQTQ -ACLCYICAGNVEKLVACWTKAQDGSHPLSLQDLIEKVVILRKAVQLTQAMDTSTVGVLLA -AKMSQYANLLAAQGSIAAALAFLPDNTNQPNIMQLRDRLCRAQGEPVAGHESPKIPYEKQ -QLPKGRPGPVAGHHQMPRVQTQQYYPHVRIAPTVTTWSNKTPTALPSHPPAASPSDTQGE -NPPPPGFIMHGNVNPNAAGQLPTSPGHMHTQVPPYPQPQPYQPAQPYPFGTGGSAMYRPQ -QPVAPPTSNAYPNTPYISSASSYTGQSQLYAAQHQASSPTSSPATSFPPPPSSGASFQHG -GPGAPPSSSAYALPPGTTGPQNGWNDPPALNRVPKKKKMPENFMPPVPITSPIMNPLGDP -QSQMLQQQPSAPVPLSSQSSFPQPHLPGGQPFHGVQQPLGQTGMPPSFSKPNIEGAPGAP -IGNTFQHVQSLPTKKITKKPIPDEHLILKTTFEDLIQRCLSSATDPQTKRKLDDASKRLE -FLYDKLREQTLSPTITSGLHNIARSIETRNYSEGLTMHTHIVSTSNFSETSAFMPVLKVV -LTQANKLGV ->ENSP00000424451 pep:known chromosome:GRCh38:4:82819044:82891148:-1 gene:ENSG00000138674 transcript:ENST00000505984 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSSHRYHKLIWGPYKMDSKGDVSGVLIAGGENGNIILYDPSKIIAGDKEVVIAQNDK -HTGPVRALDVNIFQTNLVASGANESEIYIWDLNNFATPMTPGAKTQPPEDISCIAWNRQV -QHILASASPSGRATVWDLRKNEPIIKVSDHSNRMHCSGLAWHPDVATQMVLASEDDRLPV -IQMWDLRFASSPLRVLENHARGILAIAWSMADPELLLSCGKDAKILCSNPNTGEVLYELP -TNTQWCFDIQWCPRNPAVLSAASFDGRISVYSIMGGSTDGLRQKQVDKLSSSFGNLDPFG -TGQPLPPLQIPQQTAQHSIVLPLKKPPKWIRRPVGASFSFGGKLVTFENVRMPSHQGAEQ -QQQQHHVFISQVVTEKEFLSRSDQLQQAVQSQGFINYCQKKIDASQTEFEKNVWSFLKVN -FEDDSRGKYLELLGYRKEDLGKKHIKEEKEESEFLPSSGGTFNISVSGDIDGLITQALLT -GNFESAVDLCLHDNRMADAIILAIAGGQELLARTQKKYFAKSQSKITRLITAVVMKNWKE -IVESCDLKNWREALAAVLTYAKPDEFSALCDLLGTRLENEGDSLLQTQACLCYICAGNVE -KLVACWTKAQDGSHPLSLQDLIEKVVILRKAVQLTQAMDTSTVGVLLAAKMSQYANLLAA -QGSIAAALAFLPDNTNQPNIMQLRDRLCRAQGEPVAGHESPKIPYEKQQLPKGRPGPVAG -HHQMPRVQTQQYYPHGENPPPPGFIMHGNVNPNAAGQLPTSPGHMHTQVPPYPQPQPYQP -AQPYPFGTGGSAMYRPQQPVAPPTSNAYPNTPYISSASSYTGQSQLYAAQHQASSPTSSP -ATSFPPPPSSGASFQHGGPGAPPSSSAYALPPGTTGPQNGWNDPPALNRVPKKKKMPENF -MPPVPITSPIMNPLGDPQSQMLQQQPSAPVPLSSQSSFPQPHLPGGQPFHGVQQPLGQTG -MPPSFSKPNIEGAPGAPIGNTFQHVQSLPTKKITKKPIPDEHLILKTTFEDLIQRCLSSA -TDPQTKRKLDDASKRLEFLYDKLREQTLSPTITSGLHNIARSIETRNYSEGLTMHTHIVS -TSNFSETSAFMPVLKVVLTQANKLGV ->ENSP00000425140 pep:known chromosome:GRCh38:4:82824598:82848843:-1 gene:ENSG00000138674 transcript:ENST00000511338 gene_biotype:protein_coding transcript_biotype:protein_coding -XQMPRVQTQQYYPHVRIAPTVTTWSNKTPTALPSHPPAASPSDTQGENPPPPGFIMHGNV -NPNAAGQLPTSPGHMHTQVPPYPQPQRPQNGWNDPPALNRVPKKKKMPENFMPPVPITSP -IMNPLGDPQSQMLQQQPSAPVPLSSQSSFPQPHLPGGQPFHGVQQPLGQTGMPPSFSKPN -IEGAPGAPIGNTFQHVQSLPTKKITKKPIPDEHLILKTT ->ENSP00000425999 pep:known chromosome:GRCh38:4:82843685:82891153:-1 gene:ENSG00000138674 transcript:ENST00000508479 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSSHRYHKLIWGPYKMDSKGDVSGVLIAGGENGNIILYDPSKIIAGDKEVVIAQNDK -HTGPVRALDVNIFQTNLVASGANESEIYIWDLNNFATPMTPGAKTQPPEDISCIAWNRQV -QHILASASPSGRATVWDLRKNEPIIKVSDHSNRMHCSGLAWHPDVATQMVLASEDDRLPV -IQMWDLRFASSPLRVLENHARGILAIAWSMADPELLLSCGKDAKILCSNPNTGEVLYELP -TNTQWCFDIQWCPRNPAVLSAASFDGRISVYSIMGGSTDGLRQKQVDKLSSSFGNLDPFG -TGQPLPPLQIPQQTAQHSIVLPLKKPPKWIRRPVGASFSFGGKLVTFENVRMPSHQGAEQ -QQQQHHVFISQVVTEKEFLSRSDQLQQAVQSQGFINYCQKKIDASQTEFEKNVWSFLKVN -FEDDSRGKYLELLGYRKEDLGKKIALALNKVDGANVALKDSDQVAQSDGEESPAAEEQLL -GEHIKEEKEESEFLPSSGGTFNISVSGDIDGLITQALLTGNFESAVDLCLHDNRMADAII -LAIAGGQELLARTQKKYFAKSQSKITRLITAVVMKNWKEIVESCDLKNWREALAAVLTYA -KPDEFSALCDLLGTRLENEGDSLLQTQACLCYICAGNVEKLVACWTKAQDGSHPLSLQDL -IEKVVILRKAVQLTQAMDTSTVGVLLAAKMSQYANLLAAQGSIAAALAFLPDNTNQPNIM -QLRDRLCRAQGEPVAGHESPKIPYEKQQLPKGRPGPVAGHHQMPRVQTQQYYPHGENPPP -PGFIMHGNVNPNAAGQLPTSPGHMHTQVPPYPQPQRK ->ENSP00000426562 pep:known chromosome:GRCh38:4:82848826:82866931:-1 gene:ENSG00000138674 transcript:ENST00000507828 gene_biotype:protein_coding transcript_biotype:protein_coding -XFGTGQPLPPLQIPQQTAQHSIVLPLKKPPKWIRRPVGASFSFGGKLVTFENVRMPSHQG -AEQQQQQHHVFISQVVTEKEFLSRSDQLQQAVQSQGFINYCQKKIDASQTEFEKNVWSFL -KVNFEDDSRGKYLELLGYRKEDLGKKIALALNKVDGANVHIKEEKEESEFLPSSGGTFNI -SVSGDIDGLITQALLTGNFESAVDLCLHDNRMADAIILAIAGGQELLARTQKKYFAKSQS -KITRLITAVVMKNWKEIVESCDLKNWREALAAVLTYAKPDEFSALCDLLGTRLENEGDSL -LQTQACLCYICAGNVEKLVACWTKAQDGSHPLSLQDLIEKVVILRKAVQLTQAMDTSTVG -VLLAAKMSQYANLLAAQGSIAAALAFLPDNTNQPNIMQLRDRLCRAQGEPVAGHESPKIP -YEKQQLPKGRPGPVAGHHQMPRV ->ENSP00000424336 pep:known chromosome:GRCh38:4:82851514:82864455:-1 gene:ENSG00000138674 transcript:ENST00000512664 gene_biotype:protein_coding transcript_biotype:protein_coding -XAVQSQGFINYCQKKIDASQTEFEKNVWSFLKVNFEDDSRGKYLELLGYRKEDLGKKHIK -EEKEESEFLPSSGGTFNISVSGDIDGLITQALLTGNFESAVDLCLHDNRMADAIILAIAG -GQELLARTQKKYFAKSQSKITRLITAVVMKNWKEIVESCDLKNWREALAAVLTYAKPDEF -SALCGNVEKLVACWTKAQDGSHPLSLQDLIEKVVILRKAVQLTQAMDTSTVGVLLAA ->ENSP00000422267 pep:known chromosome:GRCh38:4:82853631:82864598:-1 gene:ENSG00000138674 transcript:ENST00000510167 gene_biotype:protein_coding transcript_biotype:protein_coding -FGGKLVTFENVRMPSHQGAEQQQQQHHVFISQVVTEKEFLSRSDQLQQAVQSQGFINYCQ -KKIDASQTEFEKNVWSFLKVNFEDDSRGKYLELLGYRKEDLGKKALKDSDQVAQSDGEES -PAAEEQLLGEHIKEEKEESEFLPSSGGTFNISVSGDIDGLITQALLTGNFESAVDLCLHD -NRMADAIILAIAGGQELLARTQKKYFAKSQSKITRLITAVVMKNWKEIVESCDLKNWREA -LAAVLTYAKPDEFSALCDLLGTRLENEGDSLLQTQACLCYICAGN ->ENSP00000425056 pep:known chromosome:GRCh38:4:82871933:82891120:-1 gene:ENSG00000138674 transcript:ENST00000503058 gene_biotype:protein_coding transcript_biotype:protein_coding -TQDPAAEGPRQQDEVKGSRSYSHAGMEPCPESPHLPSNRYHKLIWGPYKMDSKGDVSGVL -IAGGENGNIILYDPSKIIAGDKEVVIAQNDKHTGPVRALDVNIFQTNLVASGANESEIYI -WDLNNFATPMTPGAKTQPPEDISCIAWNRQVQHILASASPSGRATVWDLRKNEPIIKVSD -HSNRMHCSGLAWHPDVATQMVLASEDDRLPVIQMWDLRFASSPLRVLENHARYRA ->ENSP00000421001 pep:known chromosome:GRCh38:4:82874698:82891205:-1 gene:ENSG00000138674 transcript:ENST00000507816 gene_biotype:protein_coding transcript_biotype:nonsense_mediated_decay -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSSHRYHKLIWGPYKMDSKGDVSGVLIAD ->ENSP00000425555 pep:known chromosome:GRCh38:4:82875727:82891095:-1 gene:ENSG00000138674 transcript:ENST00000514326 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSSHRYHKLIWGPYKMDSKGDVSGVLIAGGENGNIILYDPSKIIAGDKEVVIAQNDK -HTGPVRALDVNIFQTNLVASGANESEIYIWDLNNFATPMTPGAKTQ ->ENSP00000426950 pep:known chromosome:GRCh38:4:82875731:82891018:-1 gene:ENSG00000138674 transcript:ENST00000513323 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSSHRYHKLIWGPYKMDSKGDVSGVLIAGGENGNIILYDPSKIIAGDKEVVIAQNDK -HTGPVRALDVNIFQTNLVASGANESEIYIWDLNNFATPMTPGAK ->ENSP00000422797 pep:known chromosome:GRCh38:4:82875785:82891240:-1 gene:ENSG00000138674 transcript:ENST00000507340 gene_biotype:protein_coding transcript_biotype:nonsense_mediated_decay -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSSHS ->ENSP00000422563 pep:known chromosome:GRCh38:4:82878888:82901166:-1 gene:ENSG00000138674 transcript:ENST00000503210 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSSHRYHKLIWGPYKMDS ->ENSP00000425095 pep:known chromosome:GRCh38:4:82880804:82891102:-1 gene:ENSG00000138674 transcript:ENST00000505434 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSS ->ENSP00000475765 pep:known chromosome:GRCh38:4:82880807:82900538:-1 gene:ENSG00000138674 transcript:ENST00000507676 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSS ->ENSP00000425064 pep:known chromosome:GRCh38:4:82881857:82900569:-1 gene:ENSG00000138674 transcript:ENST00000506495 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLAT ->ENSP00000476156 pep:known chromosome:GRCh38:4:82881902:82900569:-1 gene:ENSG00000138674 transcript:ENST00000507051 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAM ->ENSP00000309070 pep:known chromosome:GRCh38:4:82818662:82891259:-1 gene:ENSG00000138674 transcript:ENST00000311785 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSSHRYHKLIWGPYKMDSKGDVSGVLIAGGENGNIILYDPSKIIAGDKEVVIAQNDK -HTGPVRALDVNIFQTNLVASGANESEIYIWDLNNFATPMTPGAKTQPPEDISCIAWNRQV -QHILASASPSGRATVWDLRKNEPIIKVSDHSNRMHCSGLAWHPDVATQMVLASEDDRLPV -IQMWDLRFASSPLRVLENHARGILAIAWSMADPELLLSCGKDAKILCSNPNTGEVLYELP -TNTQWCFDIQWCPRNPAVLSAASFDGRISVYSIMGGSTDGLRQKQVDKLSSSFGNLDPFG -TGQPLPPLQIPQQTAQHSIVLPLKKPPKWIRRPVGASFSFGGKLVTFENVRMPSHQGAEQ -QQQQHHVFISQVVTEKEFLSRSDQLQQAVQSQGFINYCQKKIDASQTEFEKNVWSFLKVN -FEDDSRGKYLELLGYRKEDLGKKIALALNKVDGANVALKDSDQVAQSDGEESPAAEEQLL -GEHIKEEKEESEFLPSSGGTFNISVSGDIDGLITQALLTGNFESAVDLCLHDNRMADAII -LAIAGGQELLARTQKKYFAKSQSKITRLITAVVMKNWKEIVESCDLKNWREALAAVLTYA -KPDEFSALCDLLGTRLENEGDSLLQTQACLCYICAGNVEKLVACWTKAQDGSHPLSLQDL -IEKVVILRKAVQLTQAMDTSTVGVLLAAKMSQYANLLAAQGSIAAALAFLPDNTNQPNIM -QLRDRLCRAQGEPVAGHESPKIPYEKQQLPKGRPGPVAGHHQMPRVQTQQYYPHGENPPP -PGFIMHGNVNPNAAGQLPTSPGHMHTQVPPYPQPQRPQNGWNDPPALNRVPKKKKMPENF -MPPVPITSPIMNPLGDPQSQMLQQQPSAPVPLSSQSSFPQPHLPGGQPFHGVQQPLGQTG -MPPSFSKPNIEGAPGAPIGNTFQHVQSLPTKKITKKPIPDEHLILKTTFEDLIQRCLSSA -TDPQTKRKLDDASKRLEFLYDKLREQTLSPTITSGLHNIARSIETRNYSEGLTMHTHIVS -TSNFSETSAFMPVLKVVLTQANKLGV ->ENSP00000400926 pep:known chromosome:GRCh38:4:82818662:82891266:-1 gene:ENSG00000138674 transcript:ENST00000448323 gene_biotype:protein_coding transcript_biotype:protein_coding -MKLKEVDRTAMQAWSPAQNHPIYLATGTSAQQLDATFSTNASLEIFELDLSDPSLDMKSC -ATFSSSHRYHKLIWGPYKMDSKGDVSGVLIAGGENGNIILYDPSKIIAGDKEVVIAQNDK -HTGPVRALDVNIFQTNLVASGANESEIYIWDLNNFATPMTPGAKTQPPEDISCIAWNRQV -QHILASASPSGRATVWDLRKNEPIIKVSDHSNRMHCSGLAWHPDVATQMVLASEDDRLPV -IQMWDLRFASSPLRVLENHARGILAIAWSMADPELLLSCGKDAKILCSNPNTGEVLYELP -TNTQWCFDIQWCPRNPAVLSAASFDGRISVYSIMGGSTDGLRQKQVDKLSSSFGNLDPFG -TGQPLPPLQIPQQTAQHSIVLPLKKPPKWIRRPVGASFSFGGKLVTFENVRMPSHQGAEQ -QQQQHHVFISQVVTEKEFLSRSDQLQQAVQSQGFINYCQKKIDASQTEFEKNVWSFLKVN -FEDDSRGKYLELLGYRKEDLGKKIALALNKVDGANVALKDSDQVAQSDGEESPAAEEQLL -GEHIKEEKEESEFLPSSGGTFNISVSGDIDGLITQALLTGNFESAVDLCLHDNRMADAII -LAIAGGQELLARTQKKYFAKSQSKITRLITAVVMKNWKEIVESCDLKNWREALAAVLTYA -KPDEFSALCDLLGTRLENEGDSLLQTQACLCYICAGNVEKLVACWTKAQDGSHPLSLQDL -IEKVVILRKAVQLTQAMDTSTVGVLLAAKMSQYANLLAAQGSIAAALAFLPDNTNQPNIM -QLRDRLCRAQGEPVAGHESPKIPYEKQQLPKGRPGPVAGHHQMPRVQTQQYYPHGENPPP -PGFIMHGNVNPNAAGQLPTSPGHMHTQVPPYPQPQPYQPAQPYPFGTGGSAMYRPQQPVA -PPTSNAYPNTPYISSASSYTGQSQLYAAQHQASSPTSSPATSFPPPPSSGASFQHGGPGA -PPSSSAYALPPGTTGTLPAASELPASQRTGPQNGWNDPPALNRVPKKKKMPENFMPPVPI -TSPIMNPLGDPQSQMLQQQPSAPVPLSSQSSFPQPHLPGGQPFHGVQQPLGQTGMPPSFS -KPNIEGAPGAPIGNTFQHVQSLPTKKITKKPIPDEHLILKTTFEDLIQRCLSSATDPQTK -RKLDDASKRLEFLYDKLREQTLSPTITSGLHNIARSIETRNYSEGLTMHTHIVSTSNFSE -TSAFMPVLKVVLTQANKLGV diff --git a/Fred2/Data/examples/alleles.txt b/Fred2/Data/examples/alleles.txt deleted file mode 100644 index 81a44dcc..00000000 --- a/Fred2/Data/examples/alleles.txt +++ /dev/null @@ -1,2 +0,0 @@ -HLA-A*02:01 -HLA-B*58:01 \ No newline at end of file diff --git a/Fred2/Data/examples/alleles_defect.txt b/Fred2/Data/examples/alleles_defect.txt deleted file mode 100644 index bb189eb7..00000000 --- a/Fred2/Data/examples/alleles_defect.txt +++ /dev/null @@ -1,2 +0,0 @@ -HLA-A+02:01 -HLA-B*58:01 \ No newline at end of file diff --git a/Fred2/Data/examples/testSequences.fasta b/Fred2/Data/examples/testSequences.fasta deleted file mode 100644 index dccc84d2..00000000 --- a/Fred2/Data/examples/testSequences.fasta +++ /dev/null @@ -1,14 +0,0 @@ ->sp|Q8N1N4|K2C78_HUMAN Keratin, type II cytoskeletal 78 OS=Homo sapiens GN=KRT78 PE=2 SV=2 -MSLSPCRAQRGFSARSACSARSRGRSRGGFSSRGGFSSRSLNSFGGCLEGSRGSTWGSGG -RLGVRFGEWSGGPGLSLCPPGGIQEVTINQNLLTPLKIEIDPQFQVVRTQETQEIRTLNN -QFASFIDKVRFLEQQNKVLETKWHLLQQQGLSGSQQGLEPVFEACLDQLRKQLEQLQGER -GALDAELKACRDQEEEYKSKYEEEAHRRATLENDFVVLKKDVDGVFLSKMELEGKLEALR -EYLYFLKHLNEEELGQLQTQASDTSVVLSMDNNRYLDFSSIITEVRARYEEIARSSKAEA -EALYQTKYQELQVSAQLHGDRMQETKVQISQLHQEIQRLQSQTENLKKQNASLQAAITDA -EQRGELALKDAQAKVDELEAALRMAKQNLARLLCEYQELTSTKLSLDVEIATYRRLLEGE -ECRMSGECTSQVTISSVGGSAVMSGGVGGGLGSTCGLGSGKGSPGSCCTSIVTGGSNIIL -GSGKDPVLDSCSVSGSSAGSSCHTILKKTVESSLKTSITY ->sp|Q9R4J4|ASPN_PSEFR Peptidyl-Asp metalloendopeptidase (Fragments) OS=Pseudomonas fragi PE=1 SV=2 -ESNQGYVNSNVGIELARYETTNYTESGSFDTDLARFRGTSDSIHTSRNTYTAADCATGYY -SFAHEIGHLQSARDIATDSSTSPYAYGHGYRYEPATGWRTIMAYNCTRSCPRLNYWSNPN -ISYDIGPDNQRVLVNTKATIAAFR \ No newline at end of file diff --git a/Fred2/Data/examples/testSequences_d2s.fasta b/Fred2/Data/examples/testSequences_d2s.fasta deleted file mode 100644 index 1345132a..00000000 --- a/Fred2/Data/examples/testSequences_d2s.fasta +++ /dev/null @@ -1,1000 +0,0 @@ ->RUMOBE_00001 hypothetical protein [Ruminococcus obeum ATCC 29174] -MKERRIDMKEKNVKAKAPNKKVLGLTTKIFIALLAGAILGIVLCYLVPDSSFKKDVIVEG -ILYVIGQGFIRLMKMLVVPLVFCSLVCGSMAIGDTKKLGTVGVRTLAFYLATTALAVCVA -LGVGNLINPGVGLDMSAIQSSAASVETMEATSLTDTILNIIPDNPINSLASGSMLQVIVF -ALIVGVILAKMGERAETVANFFSQFNDIMMEMTMMIMSLAPIGVFCLISRTFANIGFSAF -IPLAKYMIGVLLALAIQCFGVYQILLKIFTGLNPIRFIKKFFPVMAFAFSTATSNATIPM -SIDTLSKKVGVSKKISSFTIPLGATINMDGTSIMQGVAVVFAAQAFGIHLTPMDYVTVIG -TATLASVGTAGVPSVGLVTLTMVFNSVGLPVEAIGLIMGIDRILDMTRTAVNITGDAVCT -TIVAHQNGALDKKVFNETE ->RUMOBE_00002 dTDP-4-dehydrorhamnose reductase [Ruminococcus obeum ATCC 29174] -MLKVWIAGASGQIGRALNDVLDPMQIEALNTDLDELDITDTDEVINFGTVNRPDVIINCT -GITDTDECEANPEHAYRVNALGARNLSIVARKCGSKIVQLSTDDVFDGQSKKPYTEFDDT -NPLTVYGRSKRAGENYVKEFTHKHFVIRSNWVYGHGGHNFVNRVLAAAEAGNGLSVASDQ -FGSPTSAKDLAKMIMYLISTNEYGTYHVTCRGVCSRYEFAQEILKLAGKDIELRAVPTEQ -SDLSAVRPPYAVLDNFILRIIEVYDMPDWKESLKEYMDERTED ->RUMOBE_00003 hypothetical protein [Ruminococcus obeum ATCC 29174] -MTFYQELQLSSTGSKQLIKNTTDPKEKRRHILIYNFKVYLVMIFCVAVVSLYSKFIGNDN -SVVGVTVLLAVLVLRQADFGIRTSHGLLSIAGIFAILMTAPRFANTLSPVPAFAVNVIAI -LLLMILGCHNVIMYNHSTFVLGYLLLLGYDVTGASYIKRVEGLAVGMILCMIIFYKNQKN -RLYRRTFFDLFREFDLHSARGRWYLKLTFIVSSAMLFMNLLGLPRAMWAGIACMSVCLPF -TEDCVARSGSRWQFNIVGCAIFIVLYLVLPESMYPYIGMIGGIGVGYSAGYAWQTVFNTF -GALSIAAGLFGMPAAVALRIGANVFGSAYTVICNKIIDKLADRFMVRQSAEA ->RUMOBE_00004 hypothetical protein [Ruminococcus obeum ATCC 29174] -MLRKVSAMMSIFTMKMIFGIRRYLQIKEKQIVDASICREVSLICKESKIKIH ->RUMOBE_00005 conserved domain protein [Ruminococcus obeum ATCC 29174] -MQKFKDALREEQKRLKEIIAKAKKENEHMPEGNLRISKHKNRCRYYHCVHDRNGIYIPKR -NMILREQLAQKAYNSSIINIAEEQLAKINKMLEIDADEKMKKMYDSLHPDRKKLINPIDD -TWENNLQKWFAAPYQGKEFQEGAPMILTENGERVRSKFEKILADYFYRQNILYKYEKPLY -LKGYGTVYPDFTFLSSKTGKEIYWEHEGMMDKQEYARNAVRKIELYQKNGIYPGERLILT -FETEQSMLNQNILEKLVEKYL ->RUMOBE_00006 ribosomal protein S9 [Ruminococcus obeum ATCC 29174] -MASAKFYGTGRRKKSIARVYLTPGTGKITINKRDIDEYFGLETLKVIVRQPLAATETEGK -FDVLVNVKGGGYTGQAGAIRHGVARALLEADAEYRPVLKAAGFLTRDPRMKERKKYGLKA -ARRAPQFSKR ->RUMOBE_00007 ribosomal protein L13 [Ruminococcus obeum ATCC 29174] -MQTYMANPDKIERKWYVVDAEGCTLGRLASGVASVLRGKNKPQFTPHVDTGDYVIIVNAD -KVKVTGKKMDQKIYYHHSDYVGGMKETTLKEMMAKKPEKVIELAVKGMLPKGPLGRTMYK -KLFVYAGPEHKHEAQKPETLTF ->RUMOBE_00008 putative membrane protein [Ruminococcus obeum ATCC 29174] -MGLAHTSGVKASIIEAVNVFIAILVAGFLFHQEKITSRKITGCILGFAGVVLINLNGMNF -QFSLAGEGAIFFSTIAYAFSSVFVKKFSQKFNPVMLSAYQFIIGGIVLMAAGGVMGGHIT -KVTPSGIGLLVYLALVSAVAYSLWGILLKYNPVSRVTVFGFMNPVFGVLLSALLLGETDQ -ASGILGLLSLLLVSVGIYVVNSGK ->RUMOBE_00009 hypothetical protein [Ruminococcus obeum ATCC 29174] -MNIGGRIYMSGLKIKQEWMQKTVVVWFGALLCCLLWGSAFPCIKIGYRLFEVDAADTASQ -ILFAGCRFTLAGILAAGIGSVMEGRFYVRREKQQKKLSG ->RUMOBE_00010 putative dihydroxyacetone kinase regulator [Ruminococcus obeum ATCC 29174] -MSNITKHALAESLKKLLLKKPLNKITINDLTTDCGISRMAFYYHFKDIYDLVEWACLEES -RKALQGKKTYDTWQKGLLQIFEAVYENKPFIINAYNAISREQIENFLFQLTHDLIMSVVE -EQARSTSLTQEQKSFIADFYKYSFVGIMLDWIRQGMKSDYTDIWKNMCITIHGNITNSIQ -NFTKHAK ->RUMOBE_00011 hypothetical protein [Ruminococcus obeum ATCC 29174] -MSKKGLKLGVALAAGAGAAAILTKTSQENKEIKATKAKKAEAARSDYRNTERGKYEKNSK -GIYYTNGNYEAFARPEKPEGVDDKNAYIVGSGLASLAAACFLVRDGQMPGSHIHILEAMD -ITGGACDGIFDPTRGYVMRGGREMENHFECLWDLFRSIPSIETPGVSVLDEYYWLNKHDP -NYSLCRATVNRGEDAHTDGKFNLSQKGCMEIMKLFMTKDEDLYDKTIEDVFDDEVFNSTF -WLYWRTMFAFENWHSALEMKLYFQRFIHHIAGLPDFSALKFTKYNQYDSLILPMQKYLED -AGVDFQFNTEVTNVIFDFKDGKKIASAIECKVNGVEKGIVLTENDLVFVTNGSCTEGTIY -GDQNHAPNGDAEVRTSGCWSLWKNIAAQDPSFGHPEKFCSDINKTNWESATVTTLDDKII -PYITDICKRDPRTGKVVTGGIVSCQDSKWLLSWTINRQGQFKDQDKDKVCVWVYGLFTDV -PGDYIKKPMKDCTGKEITAEWLYHLGVPEDQIDELAEHSAVCVPTMMPYITAFFMPRTKG -DRPDVIPDGCVNFAFLGQFADTPRDTVFTTEYSVRTAMEAVYGLLGVDRGVPEVWGSVYD -IRELLSSSVKLMDGKSPLEIDIPGAGIIKKPLLHFIKGTVIEKVLRDYDVLKDGM ->RUMOBE_00012 sugar-binding domain protein [Ruminococcus obeum ATCC 29174] -MKKITVSLIAEKAQVSPATVSRVLNHRELVKEPTIRRVEEAMRSLGCQIENTVTVSKETQ -PLIVLNIPGIENVFYQEIIRGARVSAKAHGCHLLIHESHLNKGNLLDFCNLLRRVDAAGV -ILLNRVSEEGLNQIRVIAPLVQCCEYNDHADYPYVSIDDARAAELATEYLLSNGGSKIAL -INGPGNFKYARRRQEGFMNALRNAEVMIPKQWIVQLPEVSYEMAYAAVCRLLNSDSRPNA -FFTISDVFAAAVIRAAKRFHLHVPRDILVVGFDNIELSSMTSPSITTVNQPKFQMGYTAC -EMLLELMEDPHGEMKSLLLDTELVIREST ->RUMOBE_00013 branched-chain amino acid ABC transporter, permease protein [Ruminococcus obeum ATCC 29174] -MSKKNTAVPGRIAGFLGENSYIIVFVAIFIVYALTTNGLTWSGMMNVFRHSAVIGIIGLG -MGLICITGEIDLSVGSMLALDGGFSVIIFNMTNSIILTFLFAVLFGAFCGLINGVMVGWI -QMPAFIVTLATMLIYRSFAQYFCQHVDKALIGGGSSVYKMANSQSSYQTLYNFGNGKVST -IPIVGLILIIMTLVFVYITTSTKYGKKVYAVGSNMKGAQMAGINTAVVKISVFVIAGALV -GIGAFLWIAMNASADPATTGNSYEMYAIAAAVLGGISMSGGKGKCLGILFGAMSYTIIDK -IIVSLKMDSLINNAIKGIILLIVIMVQIVGPQIKQKFKKTE ->RUMOBE_00014 ABC transporter, ATP-binding protein [Ruminococcus obeum ATCC 29174] -MSLLQMKNICKSFSGVPVLKNVQLTVEKGEVHALLGENGAGKSTLMNVLTGVFPRDKGEI -EFDGKELKNITIKQSENLGIAFVHQELNLFNDLKVYENIFLQKEYTTKFGCLDKKKMIQE -AERLFQELGVDIDPTQQVSKLKTSQKQLLEISKALFFKAKLLILDEPTTSLNNDEVAHLF -DIVNNLKKKGTSFIFISHKMPEIFRLSDRYTVFRNGEFIGAGNIKDTTPEDVTRMMVGEK -YSDQDVYEKRSLGDIILELKDFSGEGFRNINLAVKKGSIVGLTGLQGAGSSELMQCMFGV -TRAYSGEMRAMGKVMRDHSIHTAMKDQIAMLASNRKENSVIPDMNILENMYLSEHTLSAW -KPAISKKKEIERYKKYKEMLNIKANSCEDLITSLSGGNQQKVFLARWLNTDAEILLLDNP -TQGIDVGAKAEIYKLILELAKQGKTILINTLEIPEIQKVADYCAVFYNGEIIKVLEHQEI -DEMTVMMYSTNAAQAEEGK ->RUMOBE_00015 hypothetical protein [Ruminococcus obeum ATCC 29174] -MIQTAIQDMVDYLDGKDVEQDHVIACEIVNKDNVKDYPSF ->RUMOBE_00016 hypothetical protein [Ruminococcus obeum ATCC 29174] -MKKTVVCMLIAAMTMGSMVTPVFADGEGDATHIYVLTAPEDHGWTGSVATFAKEKIEEVN -DAGTYSAELITSADAAEQIVNIEDIIAAGEDNIAVVIQPIDDTVQSAIQQLVDAEIPYVA -FDRIIEGVADSAVSNVKGDNEGIGAACAAYYTEQGLKPGDAVYVYEGDTSSVTTLRDEGF -TKYLTGELEYDGKTIADDAKWSEDDLKSITYSGAMNWSRSDTKTAYESLLGDASNADIKW -FYAEDDELAMGILEALQGGGIDDATKRKIPRKCTLSDRLWRTG ->RUMOBE_00017 conserved domain protein [Ruminococcus obeum ATCC 29174] -MLFDGDQWPGGQNLMTTPVIWRKVFDILDSDYIGINYDPSHFVWQMIDYIQPLYEFRDKI -FHVHYKDIKLFKEKLKECGTMAYPLQYMKPKLPGLGDVDWGKYVSALTDIGFEGYTCIEI -EDKSFEGSEERVLDSLKLSLRYMRQFVI ->RUMOBE_00018 hypothetical protein [Ruminococcus obeum ATCC 29174] -MISKKMIDTVSEIGYECVEVACWPKAKAERRYAGVSHIDVANLGDKEAEEILSYCKEKNV -EISSLAFYPNTMDGNLEKRAANIEHLYKVIDASKKLGINLVTTFIGRDQTKTVEENLELV -KKNLDSDRALRRGKESSYCNRKLPDAL ->RUMOBE_00019 oxidoreductase, NAD-binding domain protein [Ruminococcus obeum ATCC 29174] -MVKVGIIGCGKIAQVRHIPEYLDNPNAKLTGLYDLNLQRAKELAEKYDCKSYESVEEMLA -DPEIDAVSVCVANHVHAEITIAALKAGKHVLCEKPMATKLKDCQMMVDTAEQMSKKLMIG -QNQRFAKAHAEAKKLIERGDIGSVLTFKTTFGHGGPETWSVDAGPQNWFFDKKRAAMGAM -ADLGVHKTDLIQYLLNDTVEETTAKVTTLDKKDSNGNLIGVDDNAICIYKMKSGIIGTMT -ASWTYYGEEDNSTIIYGTEGMLKIYHDPKYCIELIRKDGGKVFYDIDQIQTNDNQTKSGI -IDAFVESVENDTEPAVPGKSVLSAMKAIFGSLKSSELGRTVRVDEEELE ->RUMOBE_00020 hypothetical protein [Ruminococcus obeum ATCC 29174] -MSFFYVIMENYSVMFLLHKNALRGCDQMQMEYVCYLVEK ->RUMOBE_00021 putative ethanolamine utilization protein, EutP [Ruminococcus obeum ATCC 29174] -MKKVFLMGRSEAGKTSLTQALKGEELHYHKTQYTNSNEDTIDSPGEYAESKHFSVGLACF -SFEADVVAIVQAADEPFNLFSDGSRCFLLRPLIGIITKVDSPYANLPMVRQWMQNMGCEH -IFEVNNVTREGIPELMAYLQDDLPKLTLEQAKFKQSLGLNEWQPLPEGVEYPKDIR ->RUMOBE_00022 BMC domain protein [Ruminococcus obeum ATCC 29174] -MEERITREELLERLFHDDYENLKGRKLRLTRVRVPGKSLDFAHVITPSDPAVYQNLALNI -GVHEGEDHTGESIGIMRVTPWEAIVVATDVAVKAADVQVGFMDRFSGALIILGGLSQVMT -AVEEVVKFFRDELHFDVCEIHKS ->RUMOBE_00023 BMC domain protein [Ruminococcus obeum ATCC 29174] -MANEHNDQIRIVQETVAGKEITFAHVMGGPAPIIYQKLGLNPQVDYRSSAIGIMNMTPSE -SAVIASDIAVKSGNVYLGFADRFTGTMIITGEISDVMSAMTEVVDYFRDTLGYVVCNITK -R ->RUMOBE_00024 tryptophan--tRNA ligase [Ruminococcus obeum ATCC 29174] -MKQVILTGDRPTGRLHVGHYVGSLKERVKLQNSGDYDEVYIMIADAQALTDNAEHPEKVR -QNIIQVALDYLACGIDPAKSTIFIQSMVPELTELTFYYMNLVTVARVQRNPTVKAEIQMR -NFEASIPVGFFCYPISQAADITAFRATHVPVGEDQLPMLEQCKEIVHKFNTVYGETLTDP -KIVLPSNKACLRLPGIDGKAKMSKSLGNCIYLSDEEADVKKKIMSMFTDPNHLRVQDPGR -VEGNPVFIYLEAFCKPEYFPEFLPEYQNLEELEDHYRRGGLGDVKVKKFLNNVMQAELGP -IRARRKEWEQRIPDVMDILKEGSRVAEAKAAETLNDVKASMRINYFDSDQSDMYQK ->RUMOBE_00025 citrate (Si)-synthase [Ruminococcus obeum ATCC 29174] -MADHEMLNLEEMGNLKDSMELLGEELMNGHRINPNLYVEYDVKRGLRDSAGKGVLTGLTE -ISDVTGYDLINGRKIPAHGRLYYQGYNVNDIVDGLKGRKFGFEETIYLLLFGRLPSDKDM -EIFKNIMENFETLSGRFVRDVVMKASNGDIMNAMQRCILTLYTYDSKPEDISAENVLRQS -IEMIAKLPLIAVYSYHSYRHFRRDETLFIRNPQKGLSLAENILLMLRPDGKYTELEAKVL -DIALILHAEHGGGNNSTFTTHVVTSSGTDTYSSIAASIGSLKGPRHGGANLKVQNMFEDI -EANVKDWTDEKEVEAYLRKILNKEAFDHTGLIYGMGHAVYTLSDPREVILKRFARDLAQE -KGMMKEFALYELVERLAGRMVMEQRRLFKNVCANVDFYSGFVYTMLGIPKELFTPIFAIA -RIPGWSAHRLEEILNASKIIRPAYKYVGHHANFVPFEEREPEEGCEEVLRDLEKESPEQP -EEQAETIEKEAPQDSTECPEEKK ->RUMOBE_00026 transcriptional regulator, Spx/MgsR family [Ruminococcus obeum ATCC 29174] -MLVLVYHKCSTCQKALKWLDEHKIFFEERPIIEENPTYEELKEWYEKSGMPLKKFFNTSG -MLYKQMNLKDKLPEMSEDEQLKLLATDGMLVKRPLVVGEDFVLTGFREKEWEEKIRG ->RUMOBE_00027 hypothetical protein [Ruminococcus obeum ATCC 29174] -MGYDKLERNLIDIIKEEQAKLGFFKEDIRLYYPLSSLNHFFSATDNADEMQARLNALPTS -ITEKLGQIEISHKGDRFCFHIPKEGTVYVHDNTAPNEFIKSLVELVAKHDCTMNEILDLF -HTYSQNIITEEINNDEFDRLIRFADKPEDTYYYCFKDEGCHIIYHRFLPEDYADFDF ->RUMOBE_00028 choloylglycine hydrolase [Ruminococcus obeum ATCC 29174] -MLMCTAATYKTKDFYFGRTLDYEFSYGDQITITPRNYPFSFRHAGTKQTHYAIIGMAHVA -GGYPLYYDAINEKGVGMAGLNFVGNAAYANVKPDVTNVAQFEFIPWILSQCASVAEVRTL -LSHMNLVNTPFSEQFPLAQLHWIISDETASITVESIADGLHIYDNPVGVLTNNPPFPQQM -FQLNNYMHISSKQPVNTFADDLTLTAYSRGMGALGLPGDLSSASRFARVAFTKMNSISGD -SETESISQFFHILGSVDQQRGCCEVTEGKYEITLYTSCCNATKGIYYYTTYENHQISAVD -MHRENLDGTTLICYPVIQGEQIHFQN ->RUMOBE_00029 hypothetical protein [Ruminococcus obeum ATCC 29174] -MNLGNLMQLKNSWATFTQNHPKFPKFLQAASTAVKEDTLIEIKITTAEGKVIETNLKVKA -SDIELFKNLTM ->RUMOBE_00030 transcriptional regulator, AraC family [Ruminococcus obeum ATCC 29174] -MQQALLDHLRVVTEEEQRILDGVAEVDKDLYTSGKDFTVDSAKMLSEGKLIAVRTHTRFV -HFPSHRHNYIEVLYVCQGQLTNIIGGKEVVIHAGELLFLNQYTRHEILPAGEEDIAINFM -ILPEFFDVAYTMAGNNNVLADFLVNVLRQDEERGEYLHFKVAEVLQIQNLLENMIYSLVT -GKGDQNRINQTTMGLIFLYLLESVQYAEMRLPNQYENMIIMTTLDYIEQQYKTATLTELC -EKLHLPMHMLSKMIRKNTGFNFKELLQRKRLNKAVELMCETDLPISDIIAAVGYENGSYF -HRVFKERYHTTPRAFRVANGKEERVRL ->RUMOBE_00031 putative rhamnose ABC transporter, rhamnose-binding protein [Ruminococcus obeum ATCC 29174] -MNKKIISALLCGAMVLSCAAPVMAADKAGDGQKIALVGKSAGNAFFEIAAKAFKETAEAE -GATVDVVYPEAATADAQIKVLDNLISQQPDAICISANDVNALQAKLEEAMDAGIKVSSFD -SAPNKDSRQVFVNQAGTQAVGQALMDAVLDISGGEGQFAILSATSQSANQNAWIDAMKSI -MEGDEKYSKLELVEVAYGDDEPQKSTDQTAALLQNYPDLKVICAPTTVGIAAAAKYLQDN -ESACKLTGLGLPSEMQEYTGDDDAHSCPYFYLWDMEGLGKLSAYATMALVKGDITGAEDE -TFTAGDMGEFTITKADDEGTEIVLGEPLQFTPDNVADYAKLY ->RUMOBE_00032 branched-chain amino acid ABC transporter, permease protein [Ruminococcus obeum ATCC 29174] -MAGKSGRSINNVPESPVKKMIFSWEGILVLLFIAVNIFCAMFSEYYNLSSLLRQMPVYLA -EVFMMLPMAYILVLGEIDISVGAIVCLSATMSCIVCNANAPFIVVVITALGVGTICGAVN -GFILTKFQELPPMIVTLATQIIFRGISEIVLGSGGSISASNTDGFRAIGGKIGNVPYILF -LVVILSVIFAVILGKSTFGRRVYAIGTNRLTAYYSGVHVQKIRFIIYTIMGTVSGLCALF -LVSSSYGANTTTGNGFEMDAIAMAVFGGISSTGGKGNIAGGFISAFIIVCLRVGLGQRNV -NAQVILLIIGVLLIAAVALPNIIGNVKKAVSMKKN ->RUMOBE_00033 branched-chain amino acid ABC transporter, permease protein [Ruminococcus obeum ATCC 29174] -MEKKSVMKKITGSREALLAVVLIVLFVIITAINPSFLTPKSLMDMLKNNAVTMVMSLGML -CVMLVGGIDISIMSTLALSGMSIGMLLKYEHISSTFLAFVIAIAIGIVCGAVVGLIISRA -DVPPIIATMGFMYIYRALGYQVSHGGEWASAAALGNFKNFATTKFLGLNAVIWVIIVCYV -FFFWFMKWTRTGRMIYAVGSNPSAAEVSGINVKNIKLLVYTIMGLLAGLGGALQVSVYAS -AMPDMQYGGEMDVIAACVIGGVSMNGGRGTVIGALLGSLILATIAKALPLIPFFNQLWLN -TIKGIIILVVVVMNVILQRIADKNALKGREM ->RUMOBE_00034 sugar ABC transporter, ATP binding protein [Ruminococcus obeum ATCC 29174] -MGENGAGKSTFIKVITGVHKAEEGEMFLNGQKVDFKGPKDAQAAGIAAVYQHPTSYPHLT -VAENIFMGHEIIKNRMIQWKAMNTEANKLLKQLDADFDATAEMGTLSVAQQQMVEIAKAM -STNARIIILDEPTAALTRSESEKLYTLVDKLKADGVSIIFISHRFEDMYRLASRVTVFRD -SQYIGTYDVDGITNADLIKAMVGREIKDLFPKPEVKLGDEMLKVENLSRTGYFKDVSFKV -RAGEILGLTGLVGAGRTETVEAVCGITQPDSGKVYLEGKEVHIKKPSDAMGKGIILLPED -RQKEGLIMSWGLGRNVTLPTISKYAKSGINDEKTERDLAKKLLEEVDTKAVDIFQPASSL -SGGNQQKVVVAKALSQEMKVVIMDEPTKGVDVGAKAEIYAIMGDLAKKGYAIILISSEMP -EILGMADRIVVMCNGRKTGELNRGEATQERILELAMEKGHTGGAE ->RUMOBE_00035 glycosyltransferase, group 1 family protein [Ruminococcus obeum ATCC 29174] -MSFLGKVKKKLRNGSWYPFYNTFYEKNNLDPHMILLESRSGKALESNILSLLKELCQEPY -RSFTLVLSVHRDSENEIKEKLQKNSIQGVHFVRTGSVAYYHALSRAGYLVNDTSFPGRFI -KKEGQIYLNTWHGTPLKKMGRDNRPEMVTMGNVQRNLLDSDYLVFPNQFMEEKMSGAYML -DSLYRGTVLREGYPRNDIFRQPANLHLKEQVGLQGKKLLAYLPTFRGNFNALDDQGYMQT -LSQNLSLWDSQLNEDEILLIKLHPFLHGLEDFSGYHHILPFPASWDTYEGLSVCDTLITD -YSSVFYDYANSGKKIILFAYDRKEYESSRGMYETIDSYPFDYTEKAEEVIPFAHCSGGTP -DNAFMQKYASYEDGHGAEKICRQVFLHEDCCRKYQYHGNGKKNILIYAGDLDLNGITTVL -YSQLHELDLTRYNYFISFRSLYVKDHPERMERLPEGVGIYPLASEMNMDLLTMAVQLLKL -KGHTGSWAEHRLHTAYRREWKKHFGSTEFACVIHYNGYEAYTTSLLEEAPCPRSIWIHND -MAREVHLKGNMNPYLLKEAYHTYDHIVPVSEDLIQPVVSEFGADRSRITAIHNCHDYQSV -LERSLAPVAFNEDTLSNVSLETLQSVLDSDAPKFISIGRFSPEKGHKRLLDAFEQYWKEH -PDTWLIIIGGVGNLYDETLAHTRALRASDHIILIRAVTNPMPILKRCDLFLLSSYYEGQG -IVLMEAATLGIPVMACDVSGCHSFLKKYGGLLLEDSEAGLLHGMQLFAEGKVLPLHIDAE -CINRTSAAQVEALIAGDISSKN ->RUMOBE_00036 glycosyltransferase, group 2 family protein [Ruminococcus obeum ATCC 29174] -MTTNKPLISVIMPVYNGGFTIRQAVESVFCQNIPLELLVIDDGSTDQTSEVLSVYRNRPD -FHYLKNPHNIGAAASRNRGVQEAHGQYVAFLDADDWWENGKLQIQLDTLHETGRVLCSTG -RELMNYDGTPTGKYIPVKETVSYRDLLKHNSINCSSVLLLRDVAAEFPMEHDDSHEDYLT -WLKILRKYGPAAGIDRPLLKYRMSKTSKSGDKKKSAIMTYKVYRYMGYSHMRCILYFISY -AIHGFWKYR ->RUMOBE_00038 hypothetical protein [Ruminococcus obeum ATCC 29174] -MNSRFLAFPMVAMSFPVKMIQYQRYFQNPCMA ->RUMOBE_00037 CDP-glycerol:poly(glycerophosphate) glycerophosphotransferase [Ruminococcus obeum ATCC 29174] -MGKAKNLLFTACLEHFGQIRPDSHIWLFSSTDNSHYNYNSRYLFEYVKENLPEITPLFVI -NDPELRNSLSSKYGKQYFIETESIQGIRQALSAGVWFTSAGLPAYGTGLHKKRLIINLWH -GVPLKKIALLDPNLKKAARIYFKKIFSENYTCILTTSHELIPLMARSFAVSEDKIKVWGQ -PRNDGLFQKNDCREILGQLFPDLPEYTKTVLYAPTFRDYGQVQLFPFKDFDQKQLEAFLD -EKNMLLFIRTHVAEQGSAAPYLGKRIRFLGNEQAEDVTGILNIFDCLITDYSSIYIDYLL -TDKPMIFLPYDRQQYLDGRGMNFDYDDVTPGPKPETFNDFLDALSPKEDFWKSERTRVNR -LFNEIQHPCAADICNKVLKMIW ->RUMOBE_00039 hypothetical protein [Ruminococcus obeum ATCC 29174] -MILLSIGAVKIKVTKSFSEPCYRYQQHRDAEFH ->RUMOBE_00040 response regulator receiver domain protein [Ruminococcus obeum ATCC 29174] -MKLLIVDDEELTRTGVITSLDWASLGIDEVLQADDGVHGLETARLCKPEIILCDVRMPRM -DGISMLERLEKFLPDTVPIFMSGYSDKEYLKAAIKLKAVNYIEKPFSISEIETAIREARE -LYTQKVHSRRGETLHSMETASRLALQLTLPYGGNSQIIEQLSSELGLTMNASTYFTSFIV -KTDLFLDASIPSMTDFYQEFQDFLEPFHMKCIYLEKKMQYLVYFLFSQNEPASRQLQSVN -TYLCSHFAEIGHYSMACGDTVYGLSKAYQTYTSAVILLQSSYFFPENTLLTSAQPDESPD -VQSNIFSDSPAAAFADALSRLDQISAETILQKLYTTFYKNHRFLQNPVKDLYYKLFLCLE -DARHQQKIAGSGNVESIAETIDDCFTFPELHQTLITKTKEYFTKAETTSQENPTIFLIKD -YISKNYMNETLSVKDISSHVFLSTSYVCTFFKSETGQTLNQYITEYRMEKAKQLLKDARF -KITDISSRVGYSDGNYFGKSFKKYSGLSPSEYREQNLK ->RUMOBE_00041 ATPase/histidine kinase/DNA gyrase B/HSP90 domain protein [Ruminococcus obeum ATCC 29174] -MNNIIKKCRQSYGDMKLSYKFTLVLLLTATVPVVMMACFFYGKLYDMVVSYTIRQEQDTS -AQTAPYIEDLVQQIIDAHDGITDQEFFQILFHQPVNSPFQMFLDTNDAQYFHEYVENLID -SDMISGLQIYMDFPPQSVRLFSDDLTKDYFSPMSKARGTYWYGIFQGTQQSSLFCPAFYL -GEREKKKYGDLAYITSTTFYYQGKARQAYIALYSSSDYLSDMLKDNLTIDGSVSYIINDR -NAVVASSDISLSGIYLLDYDTIEESFMSSNNFIERNILDTTVYAGFYNIKQPEWFMVTVL -PSGPLIHQSNAIMVQYVLMYLGFLVFALVLAHFMSHSITNRISSVIHQMSKVRKGTLSPM -DSPEYHDEIGDLIDTYNYMTRKMDQLMTDQAKAAEELRIAEFRSLQAQINPHFLYNTMDM -INWLAQQGRTDEVSRAVQSLSRFYKLTLSRKQSISTIYREAEHVSIYLQIQNMRYHDSIT -FVSDIPDELMEYQIPKLTLQPIIENSVLHGILETADKTGTIVLTGWMEDSDIVLLISDDG -IGIAAEQLATILSGEGASSSGGTNIAVYNTHRRLQILYGSDYGLSYTSNPGQGTEVEIRI -PARKHSATLDSIPPLYRK ->RUMOBE_00042 hypothetical protein [Ruminococcus obeum ATCC 29174] -MLVNTKAKVGVFSIALGAYLPQFPSLVPEFEAQYEAFKKTIPDTVEIIDGGMVTTKEQSM -VAGDKFRAADVDIVFLQMLTYATSYNMLPAIRDLDVPVVLVNVQKLKALDYDHTDIAAWL -GEGYACGAVGEAVADLERAGKRHAVITGVVEGGDPAVQAEIEDWCKAAQVRRRFRDTNIA -QIGRPYPGMMDLYIDETNLYNRMFLYTKQFDWEKMWAIADDITDEEAIRAKAQDILDTFD -IEDGGTIEKVWDMAKYVVAFEKWVKDEHLSMVASHYDGFAQGKAGVLDSMLIPAFSMLIK -QGTACAVEGDMKVAMAMSILKTISGTGQLSEMYSIDFNEDICIIGHSGSGDADISDKKPT -MKIVPVFHGKTGGGYLTQFYPYTGPVTYLAITQDKDGHFKFVVAEGVNEEGPILSFGDTN -MRTRFTCGAREFVNRWSEAGPTHHMAAATGRHIDTILKVAKIFNIPVDIVTR ->RUMOBE_00043 rhamnulokinase [Ruminococcus obeum ATCC 29174] -MATYYAAVDMGASSGRLILGHMENGKMELEEIHRFENGMVKKDGELCWEFDRIFTEIVAG -LKKCKEIGKIPVSMGVDTWGVDFVLLDKEDKVLGNTVGYRDHRTEGMDEEVYKFIPVEEL -YARTGIQKAIYNTIYQLMAVKTKHPEYLEKAETLLHVPDYFHFLLTGQKTCEYTEATTGQ -MVNAETKDWDYEIIDKLGYPRRIFQKLIMPGTVVGHLTEELQKEVGFDLEVVAPATHDTG -SAVLAVPANDDDFIYISSGTWSLMGIERKTPDCSAKSCELNFTNEGGYEGRFRYIKNIMG -LWMIQSVRHEVNDKYSFAEICAMAEEAKDFPSRVNANDECFLSPENMTEEVKDYCRRTGQ -KVPETMGEIATVIYTSLAECYAKTAKELEEITGRTYSRIHVVGGGSNAGYLNELTAKATG -KEVHAGPGEATAIGNITAQMLKAGDFKSVEEARTTIHESFGIKIYK ->RUMOBE_00044 hypothetical protein [Ruminococcus obeum ATCC 29174] -MNFKKVVALSICAAMVAGMSASTVMAADLPDQFKDLKANEAYEFPMMVKSFQSTYWDAAQ -EGMKKAAEELGVTYTAQGPNSESDIADQVNMINTAIASNPKGLGLAACDTSSVLDALNDC -VSKGIPVVTFDTGIADAPEGSIACEVCTDNAQAGSVAAENMYNAIKDVVANAEGQVVIGE -VNQDATAQNIQQRGGGFIDKMIELLQADGKTVAVAGNEFYVNAAKNADATEADADVVIQV -AVPAQTTVELCSNEAQAILSKENCIAIFGSNQTAAEGVLAANANLNVLGSDAAAGDVIGV -GFDAGSIIKAAVQDGTFLGAVTQSPLMMGYYAIYALTAAANGQELEDVPTDGYWYDSTNM -DDEEIAPNLYD ->RUMOBE_00045 branched-chain amino acid ABC transporter, permease protein [Ruminococcus obeum ATCC 29174] -MTKKKKSIISDQRFIVLLVIIALTAIFSIMSKEFRQYTTLLSMLDFSYYDLLMAIGVTFP -LITGGVDLSIGTGMVCYALIAGTMVRSHGWPVAAAMVLCLVLGLVIGALNGVLIGVMNLP -PFLATLCTCMITRGAGSLCSATPWPGLTQDGGWFHSIFKITVGTGRSASRYPIGFLWMVL -LVLLMEFVLNHTKFGRYTIAIGSNKEAAALSGINVKFYHVMVYVVCGLFVGLAAIAYAAV -TPTVQPGTGAGLEMDAIGGVFVGGVAATGGYGSVIGTFVGIFVIMLLKTGLPYIGLQANW -QQIITGLVLIVAVLIDIIKEKKKAAM ->RUMOBE_00046 ABC transporter, ATP-binding protein [Ruminococcus obeum ATCC 29174] -MGDVILTMKDIDKSFPGVHALDHVNFEVRRGEVHALMGENGAGKSTLMKVLTGIYQKDSG -SITYKGQEVAFHNTREAQDNGIVIVHQELNMVGDLTVAQNIFIGREPKKGIRVDDKKMVE -DSKKLFKDLNIEIDPREKMSNLTVGKQQMCEIAKAISHKAEVIIFDEPSAALTEKEIADL -FVIIRDLREKNLGIVYISHRMDEIKVITDRVTVMRDGGYVGTLITKDSTKEDIINMMVGR -VIYEDPKEHSMVAPDAPVVLKVEHLNAGKMVQDVSFELRKGEILGFSGLMGAGRTETARA -LFGADPKQSGKISIMDKSGQLREVTINSPQDAVKYGIGYLSEDRRRYGVVVQKSVNENTT -LATMEEFTNGIFINKAKEKEVSERYVKELATKTPSGDQLVVNLSGGNQQKVVIAKWLTRD -SDILIFDEPTRGIDVGAKNEIYKLMSKLAAEGKSIIMISSEMTEILRLSDRIIVMCEGKV -TGNIDISEATQERIMDKATRNID ->RUMOBE_00047 branched-chain amino acid ABC transporter, permease protein [Ruminococcus obeum ATCC 29174] -MFAVFKVVLGNKFPVGDSIKSTLNYVYFLGFLSLGVTFVIATGGIDFSIGPVMFCCALVS -GYCMTSYGVPCAAAMVICILIGLAFGIFNGWLVSYLSVPAFIVSMASMNIAKGIASVFTK -TQSVSWPLSSDPKNGWFRSIVSVNGFPVGLVIFLGMAVVCGIVLYNTKPGRYILCLGSNS -EAVRLSGVDTKKWNMLAYVICGFLVGIAALFFVATYTTVQPGYGDQYNNEAIAGCVMGGT -SMVGGLASIGGTVIGVFIISLLQQGIMAFGLGKGQQMIITGIIVIVAVYADVSARRRKN ->RUMOBE_00048 sugar-binding domain protein [Ruminococcus obeum ATCC 29174] -MKKKKWLSIFLVVCLISGIGGGIWYRQKRIDERRLSLVYIPKVVDKTNDFWKALILGTRM -AAQEYNATIEIKAPTEENDVERQNELLKEAIEEGPDAILISPSSFTESNKILDEAKEKGI -RISFIDSYTEEPVQDLTVATDNLEAGEKLGKFAASLLGPDDQIAIVAHVKGVSTAVEREE -GFRKGLGDLADNIVEVVYCDSQYEKSRKLTNELMQKYPNLKMIAGMNEYSSVGAARAVKA -AGAKDRIQVVGVDSSQEAVQLMENGVFKALVVQKAFKMGYMGVKETVRMLRGKDYEKDVN -SGCELVTPDNMYNSEIEKLLFPFNTLKLS ->RUMOBE_00049 HAMP domain protein [Ruminococcus obeum ATCC 29174] -MKNKNLSARFIGKFSSIQSVIFATVAVLVLSAVVIVTGVSMKFTNTSIFENSSEYTHTII -QQMNQNIDSYIDYMENIAYLISSNEDVQDYLFDEKIDNEGRYRILNQFQTILDSRSDIRN -VGIISKNGRMLINDGSKSVNQDLDLNTQEWYATALEKPNGPILTSSHVQHIISGERPWVI -TLSRGIRDRSGSGEKEGVFFIDLNYSAISGLCDQSTVGTKGYAFILDAKGNIVYHPQQQQ -LYNELQTENISLIMDTDEDTVLTGTGNDGKLYSISRSEKTGWTVVDCTNVKELLSKSRQA -QSVYVLTAIILVIVALLFSRFMARSITLPIQKLRDSMKKVQEGDFSVSDVVVDSKNEIGS -LTKSFDVMTHRIHELMEQNVHEQEEKRKSELKALQSQINPHFLYNTLDSIIWMAEGKKNE -EVVLMTASLARLLRQSISNEDEVVPIANEVEYARGYLTIQKMRYKDKLEFQIEVDSSILY -IPLIKLVLQPIIENAIYHGLKYKESKGLLIVKGFMKDGNAVLQVIDDGVGMDEETLAHIY -DKHKVNYHSNGVGVYNVQKRLKLYYGEDYGITYTSELGKGTTATITIPGRQEGQI ->RUMOBE_00050 response regulator receiver domain protein [Ruminococcus obeum ATCC 29174] -MYRILLVDDEILVRDAIKENIDWKGMDCELVGDCENGKEAAEFVKEHPVDIVLTDILMPY -MDGMELSNFLHDNYPEIVIVIFSGFGEFEYAKKAIQYGVSEYLLKPVTAMELTGVIEKMK -KKVEQQRLEKSKMDALAQNSEEYRKNKQIIRSKNIEALVNCTTDVNASIERLAEMGIDIS -AASYRVAIFDIDLYSGMYQLDTEKRQESALMAFVLFNISDEIVTREEAGIAYQEGNNRVG -ILFQEKWSRNFTSRTKEICHEIQEKTKEVMGFDVSMGIGKWVKKPEELIQSHDMAAQTLQ -YRYLLGGNLLIDMEEQHPVQEIAIEDDLAELKEAMKTGQKEQVYQILIKIEDSIRPGTYG -KSRACMYLQQVIRTMDNACEDVSADMDRIREDRDELLRQITDQKFFEDACKVVQKHTDRI -FEILSELNTSSSKRQARLAIDYIQKNYMDPDLSLNSICSYLNISTSYFSTIFKDETGETF -TEVLIRTRMEKAKELLENTTLKNYEIAEKVGFSDPHYFGISFKKMTGCTPTEYAREKRR ->RUMOBE_00051 ketose-bisphosphate aldolase [Ruminococcus obeum ATCC 29174] -MLVTLSEILQLAEAKKCAVGSFNTPNLESIMAVIGAAEELNVPVIIMHAEVHEPMMPISV -IGPIMIERAKAAKVPVCVHLDHGETLAYLDQALNIGFTSVMFDGSALPYEENVANTKIAV -KLAHAKGASVEAEIGTLGKRELGLGHDDGIPTGDEPKKIYTDPKLAEAFVNETGIDALAC -SFGTAHGLYLTKPKLDMSVLENVKARVNIPLVMHGGSGVSEEDYRKVIARGVRKINYYTY -MAKAGGTGVESKLPFKEMPIVHQGRKYKMHYLLQEEGKEIPVYYHDIVDWGMKAMKKNAY -EAMKIFSNK ->RUMOBE_00052 conserved domain protein [Ruminococcus obeum ATCC 29174] -MTGTGIYNDNGTKYPVKAGDVVFCDDGEGHGLLNNGKEDLKFIALILKK ->RUMOBE_00053 hypothetical protein [Ruminococcus obeum ATCC 29174] -MAKIARPEIEIEELTGEGSGILKKNALLYGKELGEHCRMYTEVVMPEGSDLAFHVHEGES -ETYYI ->RUMOBE_00054 oxidoreductase, aldo/keto reductase family protein [Ruminococcus obeum ATCC 29174] -MIQGEDADELLDEVYAQGITTFDTAENYGLSEVSLGHWLKNRGNREKVVIISKGCHPYDG -RDRVTPEDLKHDIEQSFERLGTDYIDIYLMHRDDLKVEPGPMVEILNEYHKAGKIGAFGG -SNWTHQRIAEANRYAVEHGLVPFSVSSPNFGLCDQIGDPWGGGPGCVTISGPSNEEARAW -YRDNHIPVLAYSSLGRGMFAGIVKSDDIEGAKKILDPNAVKGYCYPENFERLARAEQLAK -EKDCTVPQIALAWILNQDFEVFPLVSAKKASRIASNAKALDIVLAKEEVEWLDLRRDRR ->RUMOBE_00055 hypothetical protein [Ruminococcus obeum ATCC 29174] -MNPYIGHETQISGVEEHRLVGGKGDGMRLYEATNGKGLELTLSPDRNGDITRLRYKGINM -SYFSPCGYVAPAYYDKTGSNWLQSFTAGFLTTCGLQAVGTPCTDDGEELPLHGSIANQPC -AHSYWDENEKEIRIHSVTKDEVIFGRKLVLARTVKISKEENTFSIQDKIENTGSKTEPME -ILYHMNMGYPLLDEESEIKIPSVEVKARDAHAEEDIANWMHMEKPQGNYQERCYYHKFEG -SDGKASIYQPKLNVGLEISFDASKLDGFVEWKMMGVRDYVLGLECGNCYPDGRDVMRKTG -MLKFLNPGESVEYQVNIKLFEK ->RUMOBE_00056 carbohydrate kinase, FGGY family protein [Ruminococcus obeum ATCC 29174] -MKIAGLDIGTTGCKCTVFDEQGRYLNKAYKDYPVRRSVSGHEVDVSTIMDGVYAVVAEMA -KEYPDIAGIGVTSFGETFVMTDENGKPLHTAMLYTDPRGEEECKALTEKFGARELAGITG -LRAHQMYSIPKMMWIKKNRPEIYDAAAYIFLMEDYVVYHLTGKRQIDYSLATRTMAFDIK -KLDWSKEIFEVAGIDVNKMSKTVPTGTDAGAITAEAAEKTGLAPSTHIVSISHDQVSAAI -GAGAFDSSVAVDGAGTVECVTPIYDSIPDIDAMYDGYFSIVPYVIPGKYVAYAFSYTGGA -LIQWCVDNLAKDEKRAAADRDLSVNEYLEKKYATERGEENPSNLLILPHFAGAATPYMDT -GSKGAILGLTTDTTVADIYRGCMEGVVYEMLVNTSALKKSGCKFKKLNATGGGARSGEWM -QMKADMLNVPITALKTVDAGTVGSAMLTGIATGVFKDLNDAAEHMVEETVEYLPRKEMHE -KYMHIFERYAKVYQAVRPLV ->RUMOBE_00057 L-fucose isomerase, C-terminal domain protein [Ruminococcus obeum ATCC 29174] -MSKKMTFALAFCNRGFMPGELIYGAREDMIKAVTDAGYDYIAMDADLTRYGGIETRDEGL -LYAKWLKEHEGQYDGVIFSMPIFADENGAITALQDAGVPILMQAYPDEIGKMDFAHRRDA -FCGKFSVTDVFTQYQVPFTVLKPHVVHPLSEKFQENLRDFAAICRVVNGMKRFTIGCIGA -RTTAFKTTRFDEIGLQKNGITVEAFDLSEVFYKVNAKEDNDPAVLAKKERLENYTDFSNV -PEDKKIMLSKISVVIDEYVEEYHLDALAIRCWNEMETILRVCPCVLLSELNDRGIATSCE -IDLTSAISMRAMQLASEQPTAVLDWNNNYGDAEDKLILFHCGSCAQSLMTKKGTVTSHKM -FDKGDPGSGWGTNEGRIRPFKTTISNCLTVDGKIKIYASEAEFTDDPIEDAYFGCAGVCQ -IPNMEDKMIRLARGGFKHHTCVGVGHMKDILKEAFTTYLGYEWVDID ->RUMOBE_00058 hypothetical protein [Ruminococcus obeum ATCC 29174] -MQFGNIKAGYHFQKILSMFISNSKSYGNHITNANKIKVSRTKVYIKEKENPLK ->RUMOBE_00059 hypothetical protein [Ruminococcus obeum ATCC 29174] -MAVTQMTFHGTAGCLADQLTEICDLIRIRSQFTKRVIKNSDADFCELIKVF ->RUMOBE_00060 transcriptional regulator, AraC family [Ruminococcus obeum ATCC 29174] -MGNIVIGYLLFGHVFSYTSYDEGWKVIRERCADYGISFDELEKCCRKLPNLSEEYIDSAS -HIMKAVASYLCMDRMVSMHQQELPVQIDEYIQSHYTERIDAVSIAQHFHIGKTKIYEIAR -QNYGMGIAEYIRKLRIDRARQLLAEQTDLSLAEIAYKCGFSDYNYFITVFKKLVGVPPIA -YRQQIVKAE ->RUMOBE_00061 oxidoreductase, aldo/keto reductase family protein [Ruminococcus obeum ATCC 29174] -MAEFIDPAIVPKVTLPSGEEVPCMGMGTFGSDRVSAEDVSAAVAGAIRSGYRMFDCAACY -GNEHQIGEVFKTAFDEGVVERKDLFIMTKVWNDMHRKVEEACTKSIQDLQCDYVDLYFIH -WPFPNYHAPFCDVDSRNPDSRPFSVEEFMDTYRQCEELVEKGKIRYIGISNMTIPKLEAV -LPLMKIKPAACELELHPCFQQQEQYDYLVAHNIQPVGYMPLGSPRRPERDICPEDVADMQ -TPEMQEIAKAHGVHPALIALKWAHQRGEISIPFSVHNYVSNLKCVTEDPLTEEEMAKIGT -LERGNRLVKGQVFLWEGAKDWHDLWDEEGFIVK ->RUMOBE_00062 1-phosphofructokinase [Ruminococcus obeum ATCC 29174] -MILTVTLNAAIDKRYVVDDFKVGEVNRVRECSYVPGGKGLNVSKPASIYGAKVVATGFVG -GHAGNYIEDALKPFGIKGEFYHVDAESRSCINIWDEVNHVQTEFLEPGFTLTEEDFQGFE -KKFTELVKDADVVSMSGSVPKGLDGTAYQRLVKIVKEAGKPVILDTSGKLLEMGIKACPT -LIKPNIDEIRMLTGTHCDDIQDIIDAAKTIHANGVEIVVVSLGADGSLAVGEEGIFRAIV -PKIDAVNTVGCGDSMIAGFALGLSEGLSLEETLRRASAISAAAAMREETGFFVMEDMEKL -LPQIVIQKLYN ->RUMOBE_00063 GroES-like protein [Ruminococcus obeum ATCC 29174] -MKAAVVVANEDVQYQEVEEPKVTKGTVKIKVRYSGICGSDIPRVLNHGVHFYPIVLGHEF -SGDVVEVGEGVTKVKVGDRVSGAPLLPCMKCDDCQKGNFSLCKHYSFIGSRQQGSNADYV -VVPEQNAVPFDKTVPYEQGAMFEPATVAIHGVFQNDYHGGEYVAILGGGTVGMFTMQWTK -IFGSKKVVVFDISDERLALAKRLGADEVINTKEEGYMEKAMAITGGKGYGFVFETAGQVP -TMHMAFELAANKAHVCFIGTPHENLTFTPKQWENMNRKEFKLTGSWMSYSAPFPGREWDL -TAHYFATGQLKFDPGFIYKKIPMSQAQEAFQLFKTPGLVKGKILLSNEEE ->RUMOBE_00064 carbohydrate kinase, FGGY family protein [Ruminococcus obeum ATCC 29174] -MKKSYLLGIDIGTSACKVAVFDREGRVLAAANGAYPVYYPHEGWAEQNPEEWWSAVCQAT -EETIQKAGIAPEEIAGVGIDGQSWSAIAIDQEGKVLTNTPIWMDTRAQAICDRLNQKVGA -DKIFKISGNSLQPSYSTAKIIWYRENKPEVYEKIYKILQSNSYIAFKLTDAITQDVSQGY -GLHCFDMKKGCWDEEMCEQLGIPMGFLPEICDCDHVVGTVTAKAAAECGLAEGTPVVAGG -LDAACGTLGAGVIHTGETQEQGGQAGGMSICTDEYKADPRLILSYHVVPGKWLLQGGTTG -GGGVMRWFEHEFADYERMMKEETGTSSLDQLNEIAEKVAPGCDGMVFLPYMSGERSPIWN -PYAKGVFYGLDFAKTKGHMVRACMEGVALSLRHNLEVAEEAGAEAEVLRAMGGSANSLLW -TQIKSDITGKPIVVPASDTATTLGAAILAGVGVGFYKDYDEAVSLTVKETRRHEPSPENK -AIYDQTYQTYLELYKSLAHMMTAK ->RUMOBE_00065 sugar-binding domain protein [Ruminococcus obeum ATCC 29174] -MAATMKDIARRTGLGLATISSYFNGGNVREKNRIKIEEAIEELHYEVNEVARGLKTNATK -TIGVVIPELNNTFCAEIITGMEDVLRSHGYATIVCDCRTDKKLEREAIEFLIRRRVDGVI -NMPVDEEGNHLKKFQRTGKPIVLIDRKIQGISCDSVLVDNKKAAEDAVRQFIERGHRYIG -IIGGPKGIFTAQERMAGYYRALEKAGIPVRESLICHGDYTIQGGVRSLEELVQKNPDMTA -VFVTNYEMTMGAMIGVNELGIQIPEQLSVIGFDNLQFARACNPKLTIVSQPTDGIAREVA -RIMLEHLENGKKESEEFFTEKLQTEIIEGKSVNTLK ->RUMOBE_00066 ketose-bisphosphate aldolase [Ruminococcus obeum ATCC 29174] -MVDRIREQRYDWLKRKRFGFVNVIRHYRNSKNKNHTYIMRRKIIMPLVTSKEMLSKAQKG -GYAVGAFNAENMEMVKAIIQAAEELKAPVMIQTTPSTVKYGTVDTYAAIVAAEAKKASVP -VCLHLDHGSSFELAMQAMHAGYTSVMIDGSKLDFEANIAETKRVADVAKALDIPCEAELG -KVGGKEDDLEAEADTNTDPQEAKEFVERTGVTSLAVAIGTAHGFYVGTPVLDKERLSEIR -EVVDIPLVLHGASGLSDEDVMDCVKRGICKVNFATELRAAYSKAVKELLAEKPDTIDPKA -YGKTAIAAVKELVMARMKVCGCDGKAE ->RUMOBE_00067 RbsD/FucU transport family protein [Ruminococcus obeum ATCC 29174] -MLKGIPEILSPELLKVLCEMGHSDRLVIADGNFPVESMGKNAITIRCDGHGVPEILEAIL -KVFPLDTYVEHPVNLMEVMPGDDVETPIWDTYKEIIRKYDDRGDAVVGNIERFAFYDEAK -TAYCIISTSEKALYANVMLQKGVVINK ->RUMOBE_00068 papain family cysteine protease [Ruminococcus obeum ATCC 29174] -MHYHKSPKNRRVLALLLTGSLLFGGIPVYAGEYSNVELSAEDDGSDLTVDSDSAADMAAS -DDTVASEDTNLSIDATDSDVSTDEEGSSIAAANSDKENESDDFSSDDSQEVFSDGTVTDI -DSELDYVLGRPMTDGEREAQLAMIPELTDMPVTDEVTSDLDIVPYALYPEEYNSAKEGLV -TPVKNQSSTSLCWDFSLTSNIETSLLSRGLGYYDLSEEHLAYFWANRVNDPLANTPNDKI -TRTNADYHGTGNGQVASFFLSTWSGMTTEEKVPFSSTTKTWPEDLAYDSAAYMEDAVFSE -YDEDRVKLLLSEYKSVSAMMYWNLQNYTVNTAAYYQAVPKLSSNGKQMVNHAVTIVGWDD -NYKKENFIDGPKPSRNGAWIVKNSYGTGFGDKGYFYMAYDNATFSNLVCNTASTSEEYNN -NYFYDGASAGTVVFPGISNGYYASNIFKATAGKGKDEELGEIVTAVPQDNTDFQIQIYTD -LTNPSDPTSGTPAYATPMEYTQAFAGIQTIRLEKPVKIPPGTLYSVVLQIPNGSQRYYLE -KTKQQQFLVYNSCRY ->RUMOBE_00070 hypothetical protein [Ruminococcus obeum ATCC 29174] -MVGVGSGVSGVSSGISISGVISGLTAGVTAGETIGVSSGSGSGVTTVEVLRVLVCALMEK -QYSDLAASVHLFPSAE ->RUMOBE_00069 conserved domain protein [Ruminococcus obeum ATCC 29174] -MTPTPTPVSHRINYNKNSSLGVGNMPSASSAQEKQTITVGNAPYCKTRFFAGWNTRSDGR -GKSYSPGQKIQLNQNLTLYAQWNFTYVSSARLIYRVVGKQAVTCYGTTNKRITRASIPSI -IRYKGITYRVTSVWANAFKNKSRLTTVSIGNNVSVIGKNAFYKCKKLKKVTIGTGLTQIN -SGAFRGVKKGCTITIKSLKLKKVSSKIDQSTSKMTVCVPRKKYKAYKKILWKKSRTVKIK -KF ->RUMOBE_00071 hypothetical protein [Ruminococcus obeum ATCC 29174] -MTTLILQGKKKWLIVQSTPSVSGSYALNSDRTINNIWYKSENGEIICTEDILKLQKDTTY -QFLITLK ->RUMOBE_00072 hypothetical protein [Ruminococcus obeum ATCC 29174] -MKIYMKLRKINENDALMNRSEYEMKQRLAR ->RUMOBE_00073 hypothetical protein [Ruminococcus obeum ATCC 29174] -MYFFCALSRTLLHRKRQGISFQNIPCPSPCVHFNLLIILFLLIMIDQQSNHCKYCNSDNP -CERILIPFCFCSFYILPGRLADVLCVSVFCFRLFGVFFCIFSFICFFCNCRCWCLGRFCS -LCRGWCLCCFCGLSWCRCLGRFSYFGWCYTHFCHRIHTLLYSIRVFLLPFFCFLQIYPAF -CSVNRSHSPVTSIYHFCILCDMKSLAIFNIAHSRNFSIFCSRSLIKLLETSFCICLYIII -SIVIHIILTCDIKFRINCFFSGIRRPALVKRGVSIHAMIFCVSPRTVILGILYFSFYMKR -RSIRNLLIIQPRRFQIRL ->RUMOBE_00074 hypothetical protein [Ruminococcus obeum ATCC 29174] -MKKLTKSFLVMILGLLMSVNVMADVQTGKTEPDYPTDYYMIVESKAGGIDIYSQPDLEST -RLNDEQIPNGTALHIEGEVEDTENNRTWGYTEYHGMYGYAPLDECRPADSRKEAIDSELY -IAGKDYVNYNADYDVKADAEGGFQKLYQGPGTKYGEVPGVRDIENGETLHITQDAEMVDG -SHWGVTTVDGTEGWVDLEKTEEWKKEHPDTVEESVDAVAEVSVTPTEVAKATETPTPTEA -AEATETPAPTETAEATETPTPTITEEADEAENTEKDSKEPEAENTDTKDIREASGQNVKA -AKTKWYQNPFTWIIGIAVLAVIGLLVYHNKKK ->RUMOBE_00075 arabinose isomerase [Ruminococcus obeum ATCC 29174] -MAKSRLVGSYPVIGIRPTIDGRRGALDVRGSLEEQTMNMAKSAAKLFEENLRYSNGEPVK -VVIADTTIGRVGESAACADKFRKEGVDITLTVTPCWCYGAETMDMDPQTIKAVWGFNGTE -RPGAVYLASVLATHAQKGLPAFGIYGHDVQEADDTSIPADVEEKLLRFGRAAVAAASMRG -KSYLQIGSVTMGIGGSIIDSDFIESYLGMRVESVDEVEIIRRMTEGIYDHAEFEKALKWA -KETCKIGWDKNPEELQFSPEKKEEQFEFVVKMAVIIKELMNGCDNLDPAFSEEAIGHNAL -AAGFQGQRQWTDFYPNGDFAEAMLNTSFDWNGAREPYILATENDVLNGLGMMFMKLLTNR -AQIFADVRTYWSPEAVKKATGYDLEGVAKEAGGFLHLINSGAACLDANGEAKDENGNAVM -KQWWDITEEDQKAIMDNTEWCMADNGYFRGGGYSSRYETKAQMPATMIRLNLVKGLGPVL -QIAEGWTVALPAEVSDKLWKRTDYTWPCTWFAPRCDGKEGPFKTAYDVMNNWGANHGAIS -YGHIGADLITMCSMLRIPVSMHNVPEKDIYRPAAWNAFGMDKEGADFRACKNYGPLYK ->RUMOBE_00076 transcriptional regulator, AraC family [Ruminococcus obeum ATCC 29174] -MSYHWHVEYEIIRILDGSLTVTLDEKSFTATAGDIIFVHSGILHSGIPEDCVYQCIVFDG -NTFLKNNSVCAGYMQKIIHQEILIYHHFTPKYVDICATVNSLFDALWKKPSGYELSVLGQ -FYHFFGLIFGNHYYLESVTRARRDYKRILQLKQVLDFIEHNYASPLTLQQLSASVSMSPK -YFCRFFSEMTHQTPMDYLNHQRIEQACYQLSTTDDSITEIAYRNGFNDLSYFIRTFKKYK -GITPGKYKKA ->RUMOBE_00077 ATP:cob(I)alamin adenosyltransferase [Ruminococcus obeum ATCC 29174] -MNIYTKGGDKGTTSLVHTKNVSKSDDRIQLVGTIDELTSHLGLVKTMLKDEDTIQFLEKI -QRTLITVMAGVADPYKRDYRIDDVKTEYLEDEINRMEGLFQRPKEFILPGKCRLSAEMDV -ARTVARRAERALATVSVKFGADNGAKKYMNRLADYLYILARYTDAKMEEMSAEEVDKPTE -KTSDGGKDEVRTMPENQNQTGAVNEAVIQEVLKRMGIQGRITLASAKRLIEKIEQEAERR -GKKAVIAVCGPDGNPIAVHVMDGAFLVSFDVATKKAYTSVAVKMSTKELSVLAQPGGTFY -GVDKMDNGKIVIFGGGVPLKVGDTIIGGLGISGGTGEEDHSLAEYGLSVLNEVL ->RUMOBE_00078 hypothetical protein [Ruminococcus obeum ATCC 29174] -MLGSGIGMSGQRIAMQMRRLPKGHNVFELNAPRFWQCRNLGANSARAVKKMPFKAIYRGE ->RUMOBE_00079 diol dehydratase / glycerol dehydratase reactivase large subunit [Ruminococcus obeum ATCC 29174] -MSAIGMPLEKLDLVRLNEAAPVIGDTAMETITETIITESSMIGHNPSTPAGAGEAVGRLL -FIENMDRGMQNTPYILVASSQFSYEEVAAKLNQYEERLDIRGLILQADEAVLVENRLNKK -IPIVDEVRHIDKVPEEKLAAIEVALPGTSIRMLSNPYGIATLLGLDADETRAVTPIAKSL -IGKRSAVVIRTPNGNIKENILPAGEIVFHGQQELSINIDRGADEIMDRLAEAGEIRDIDG -QPNTNVGNMLTRIRTSMADVAESENHDVRITDILAVDTLAPVEISGALAGETCMEKAVGI -AAMVKTAHLPMQKIAERLEQELHIRAVVAGVEAVMASLGAMTTPGTKLPLAILDMGGGST -DAAVLESDGRVRTTHQAGAGELVTMLIQTELGLKSRTTAEQIKKYPMGKVESLFHLRLEN -GAMQFFEESIDPRYYGHVVLLAPDEMLRIEEDIPMERILEVRRDAKRKVFVRNAIRALRQ -VAPEHDLRSIPNVVLVGGSAEDFEIPEMLMQALSEYRIVCGRGNIRGTEGPRNAVATGLL -LSYIGSTQEG ->RUMOBE_00080 dehydratase small subunit [Ruminococcus obeum ATCC 29174] -MSSYPLGQSEADTITSRTGKKLSQITLDEVKKGNVTADDIKISAETLKKQGQVAKEADNP -TMDANFQRAAELVNVPDDIILDMYNKLRPNRSTKKELILMAQELLQKYNAPHCAKLVLEA -AEIYEKRGILR ->RUMOBE_00081 dehydratase medium subunit [Ruminococcus obeum ATCC 29174] -MEVNEQLVRAVTQAVVVQLMASGAQPQNVSSTPAPAGTGSFAGKTRMRPKHSYEGAVRAS -KGTDPKEVVIGVGAAFQTEITKTMSGIPLEEVLRNICAGIEEEGMTSRVVKVLDTSDVGF -MGLEAAKLSGSGIGIGLQSKGTTVIHQKDLYPLSNLELFPQAPLMDLDTYRKIGRNAAKY -VKGEKVTPIECTNDPMVRAKYQVKAALLHIIETEQLDPEKGMIEWEGTK ->RUMOBE_00082 glycerol dehydratase, large subunit [Ruminococcus obeum ATCC 29174] -MKRSKRIEVLDHRPVNKDGFIDEWPEMGFVSMHSPYDPKPSVKIEDGIITELDGKKRDEF -DFLDQFIADYAIRADRAEAFMAIPSLEIARKIVDIHVSRKEILEIVSGITPAKMVEVINY -LNVVELMMGMQKMRARKVPGNQAHITNLKDDPVQIAADAAEGALRGFSEEETTMGVARYA -PFSAMALLIGSQTGRPGVLTQCSAEEATELELGIRGLTTYAETLSVYGTEKVFIDGDDTP -YSKAFLNSAYASRGLKVRFTSGAGSEVLMGSSEKKSMLYLECRCLYVTKGCGSQGIQNGS -VSCIGVAAGVPAGIREVMGENLVAALLGLECASSNDQSFSNSDMRRTARTMLQFMPGTDF -IFSGYAAEPNYDNMFAGSNFDAEDFDDYNVLQRDMQVDGGLRPVTEEDVIRVRHEAGKAV -QAVFKYLGLTEVTDEQVEAVTYAHGSKDTLKRDVASDLMAADDMMKRGITGIDVVKALAE -SGYTVLADNILNMLKQRVIGDYMQTAAILDKNFQVMSGVNTPNDYMGPGTGYRVSGKRWE -EIKAIPHRINANDI ->RUMOBE_00083 alcohol dehydrogenase, iron-dependent [Ruminococcus obeum ATCC 29174] -MKTFGMKTVIHFGDNALDRLREIPYKRVLVITDPFVVQSKMIDLITEPLAKGGIEYDIFS -NVVPDAPVDKIADGVKKFLSYQPEAVVAVGGGSAIDSSKAIREFALKINNYGKVGLIAVP -TTSGTGSEVTSFAVVNDTEAKVKYPLVSPDLTADEAILDAELVKSVPPAITADTGMDVFT -HALESYVSTGHNEFSAALAEKAMEICGVFLLRAYLDGSDMHARQKMHVASCLAGLSFNTA -GLGITHSMAHQLGAQFHIPHGRANAMLLPHIVEFNANINKRSRSQKTYLPAVERYASVAH -ILGLSNYNQVMSVRSLVNWIQFMQKEMNIPMTIQEIGTISPDEYFGAIDKMADAALADAC -TPSNPRTPTKEDIMKIYKKLWSF ->RUMOBE_00084 transcriptional regulator, DeoR family [Ruminococcus obeum ATCC 29174] -MLALERRNLILEKLQAEKRVVVSELSQLYEVSEETIRRDLDKLEKEGLATKSYGGAVINE -DVSIDLPFNIRKNQNVSGKQQMADLAASLVQEGDHIFLDASTTAVFIAKALKEKERLTVI -TNSMEILLELSDVSGWNIISTGGVMKEGYLAFLGSKTEDAIRSYYVDKVIISCKALDHEW -GIMESQEAFGTTKKAMIASGREKILVVDSTKFDQTAFSVAGKLRDIDVVVTDRKPSEKWL -AHFAEEGVECRYPGMQP ->RUMOBE_00085 BMC domain protein [Ruminococcus obeum ATCC 29174] -MSKAIGMIEFKTTATGITAADAMVKTSEVEIVEAQTVCPGKYIAIITGDLSAVKAAVDAA -VTTYEDKCIDSFVLGNPHESLFPAMYGTTQIEGISALGILETYDAASIIEAADQAAKTAI -VDVIELRIAKGMCGKSYMLLTGEVSAVEASIEKAKQLVASKGMYLDSSVIAHPDQRMIDS -IL ->RUMOBE_00086 Respiratory-chain NADH dehydrogenase 51 Kd subunit [Ruminococcus obeum ATCC 29174] -MMVQDWSNAMEIKDLQKIMQDNGVVGAGGAGFPSYAKLTDKADTILLNCAECEPLLKLHR -QLLEKHAYEIMKTFHTVMETVGASQAIIGIKKSYVQTVKALQQHIEEFPGLKLHLLDEVY -PMGDEVVLIYEATGRVCRPGGLPIEQGVIVFNVETIYNVYQALESQKPVTEKYVSVVAEV -EHPVTVKVPLGCTLDEVVAQAGNITTKDPVYFVGGPMMGRIGNGADPVTKTTNAVLVLPR -DHQIVMKKQRTSAIDLKRAASICCQCNTCTDLCPRHNLGHPIDPARFMRAASAGDFRDVN -PYIDSAFCSSCGVCEMYACPQSLAPRTLLADMKGGLRKAGIRPPQGVQPVPVQPSREYRK -VPEERLMARLGLTKYDKDAPMDENVVPVSKVKILLSQHIGAPAQAIVKTGDMVTKGQMIA -QHADGLSVSIHASISGKVTEVTDRHIIIAAK ->RUMOBE_00087 ethanolamine utilization protein EutN/carboxysome structural protein Ccml [Ruminococcus obeum ATCC 29174] -MIVGKVVGSVVSTRKSDKLIGQKFMIVEPVHHMKADLSQIVAIDIIGAGIGEYVLVAQGS -AARIGCGEETAPIDAAIVGIVDDGAGLE ->RUMOBE_00088 propanediol utilization protein PduL [Ruminococcus obeum ATCC 29174] -MVIDAINQSEDKGNGFMVPIGVSARHVHLTQEHVEALFGPGYQLTKKKDLMGGQFASNET -VTIVGLKLRAIEKVRVLGPVRSATQVEVSATDAIKLGMNVPVRMSGDIAGSAPIAIVGPK -GAIYLKEGCIVAMRHIHMSPKDAQAAGVKNGDIVSVKADNERGTIFNHVAIRVDDSFTLE -MHIDTDEANAAKIATGNTVTIIK ->RUMOBE_00089 BMC domain protein [Ruminococcus obeum ATCC 29174] -MTQEALGMVETRGLTAAIEAADQMCKAANVALVGTEKIGSGLVTVMVRGDVGAVKSAVES -GSAAASRLGELVATHVIPRPHTDVEKILPVLK ->RUMOBE_00090 BMC domain protein [Ruminococcus obeum ATCC 29174] -MSKAYGFIEITGVVAAINALDIMCKTADVELASWERKLGGRLVTLIVEGDVSAVNEAVEA -AVAGAIKKPASYAVIARPHEEIVKLVELSASRWKKKTDETKKENK ->RUMOBE_00091 BMC domain protein [Ruminococcus obeum ATCC 29174] -MIQEEETMAQEALGMVETRGLTAAIEAADAMTKAAEVALVGTEKIGSGLVTVMVRGDVGA -VKAAVESGSAAASRLGELVATHVIPRPHTDVEKILPKI ->RUMOBE_00092 BMC domain protein [Ruminococcus obeum ATCC 29174] -MAEAVGILEVFGLATAFVAADAGCKAANVRLEVFDKNKPANADSLPVPLLVCIKFRGSVE -DVTAAVEAGMAEANRRTGVVQHYVIPNPTEDTVKMLKISALDKS ->RUMOBE_00093 GroES-like protein [Ruminococcus obeum ATCC 29174] -MLTALEHYEIKEFPMPEVGDDDILVKVEGCGICGTDAHEFKRDPFGLIPVALGHEGTGEI -VKMGKNVKVDTAGKPVKVGDKVVTCMIFKDDPEITMFDLNKKNVGGADVYGLLPDDDVHL -NGWFSDYILIRGGSFGSTFFNVSDLDLDSRILIEPCAVLIHAVERAKTTGILKFNSRVVV -QGCGPIGLICIAILRTMGVENICAVDGNAKRLEFAKKMGAEVSVDFTQYKGIEALTEAVK -EAQGGHLADFAFQCTGNPHAHANIYKFIRNGGGLCELGFFINGGDATINPHFDLCSKEIN -LVGSWVYTLRDYATTFDFLKRAKAIGLPMSDLITDRFPLEQINEAHKTNLAMTGLKIAII -NK ->RUMOBE_00094 aldehyde dehydrogenase (NAD) family protein [Ruminococcus obeum ATCC 29174] -MPISESMVQDIVQEVMAKMQIADAPTGKHGIFKDMNDAIEAAKKSELIVKKMSMDQREKI -ITCIRKKIKENAEVMARMGVDETGMGNVGDKILKHHLVADKTPGTEDITTTAWSGDRGLT -LIEMGPFGVIGAITPCTNPSETILCNTMGMLAGGNTVVFNPHPAAIKTSIFAINLVNEAS -LEAGGPDNIAVTVEKPTLETSNIMMKHKDIPLIAATGGPGVVTAVLSSGKRGIGAGAGNP -PAVVDETADIRKAAQDIVNGCTFDNNLPCIAEKEVVAVSSVVDELMHYMLTENDCYLASK -EEQDKLTEVVLAGGKLNRKCVGRDARTLLSMIGVNAPANIRCIIFEGPKEHPLITTELMM -PILGIVRAKDFDDAVEQAVWLEHGNRHSAHIHSKNVDNITKYAKAIDTAILVKNGPSYSA -LGFGGEGYCTFTIASRTGEGLTSASTFTKRRRCVMSDSLCIR ->RUMOBE_00095 putative L-ribulose-5-phosphate 4-epimerase [Ruminococcus obeum ATCC 29174] -MVNEFEIKKQICDIGRRIYNRNMVAANDGNISVKLNDNEFLCTPTGVSKGFMTPEFICKV -DAQGNVIQANPGFKPSSEIKMHMRVYQKRPDVGSVVHAHPIYATSFAIAGIPLTQPIMPE -AVIALGCVPIAEYGTPSTMEIPDNLEKYLPYFDAVLLENHGALTWSTDLNAAYMKMESVE -FYAQLLYQSKLLGGPKEFDKENIKKLYEIRRKFGMPGKHPANLCQNKDGVNCHNCGGACH -SQDYKQFPGYQYDFVGSETKAEAPAATGAADAELVANITKQVMAQLGMK ->RUMOBE_00096 hypothetical protein [Ruminococcus obeum ATCC 29174] -MKVLGKDKVIGRDVTVEEMIKVVEQDRPYYRRSGGGLTLSGGESLCQPEFARDMLRAAKE -RGINTALESMACAPFETIETILPYLDLYLMDIKHTNPAKHKEFTGRANDLMMENARKVAL -SGKCKLIIRVPVIPTFNDTVEEIQGIASFADTLPGVEQLHLLPYHRLGQDKYIGLGRPYL -MEGILPPTQEHMQTLKKAAESVSSLHVQIGG ->RUMOBE_00097 formate C-acetyltransferase [Ruminococcus obeum ATCC 29174] -MFNTTDVPKSSRIPKLVEALYANMPVIESARAKLLTESYKATEGEPMVTRRAEAFAHILC -NIPIIIRDNELIVGSSTIAPRGCQTFPEFSFQWLEDELDTVETRSADPFYIAEETKQELR -EVHKYWKGKTSSELATSYMDPEAIKAIEHNIFTPGNYFYNGVGHVTVKYGEVLAIGYKGI -IDKAQAELDKCQVGDANYVTKSHFLNAVILSCQAAIEYAERYAELASQMAAECTDPVRKQ -ELLQISENCSRVPANGATSFYEACQSFWFVQQLIQIESSGHSISPGRFDQYMYPYYKEDI -DKGVITREFAQELIDCIWVKMNDLNKCRDEESAKGFAGYSLFQNLIVGGQNKYGEDVTND -LSFMCIEASKQVFLPQPSLSIRVWNGSPHELLMKAADLTRTGIGLPAYYNDEVIIPALQN -RGLTLEDAREYNIIGCVEPQKSGKTNGWHDAAFFNMCRPLELVFANGMDKGVQVGIQTGD -VTKMNTFDEFYDAYKKQMEYCISLMVNADNAIDVAHAERCPLPFLASMVDDCLTRGLTAE -QGGAVYNFTGPQGFGIANMADSLYAIRKLVYEDKKVSMETYKEALAWNYDKGLDEKSVAD -MSEMILKGMQDAGMTVNEDTAKAVLQTVMRLKPSDEQIQKFTELHDMIDEVPKFGNAIDD -VDYFARDVAYTYTRPLQKYHNPRGGQFHAGLYPVSANVPLGGQTGATPDGRYAHTPVADG -VSPSAGKDVNGPTAAATSVSRLDHFIVSNGTLFNQKFHPSALAGREGLEKFVALIRTYFD -QKGMHMQFNVVDRATLIDAQKHPEKYAHLVVRVAGYSALFTTLSRSLQDDIIRRTEQGF ->RUMOBE_00098 putative hydrolase [Ruminococcus obeum ATCC 29174] -MAKAASRKGLKLLGITDHGPGTLAAGTSSYFRSLTYAPKKRFGIELLFGVELNILDIDGH -LDLNDELLGELDYAVASMHAQNYNSGTIAENTSAYLNAMTHPCVKVLGHCDNPAFPVDYE -TLAVGAKENGVIFEINEASLAPYGYRGDTRANNREILKYCMKYEIPIVLSSDSHGVEHIG -DFTCAAEFVHEMMFPEKMILNNDIPRLKMILSER ->RUMOBE_00100 hypothetical protein [Ruminococcus obeum ATCC 29174] -MIWKMREEELIVYIYLKSSDKYRKYLNLTSYSYTQKKEQSPDILTQQISVDSDCANDGCV -ALSEHPWVRVCKSSHR ->RUMOBE_00099 hypothetical protein [Ruminococcus obeum ATCC 29174] -MYTINSSSLIFHIIFVVPPHPGGGSRPSAAAPRGLPGCGEAELSQENDPIKSFELIKHAS -DIQEPSKAFETATVLVAVVEHLSERQRVMRSNR ->RUMOBE_00101 Cysteine-rich small domain protein [Ruminococcus obeum ATCC 29174] -MEKPYWEGKHYAFFSNKECEYFPCHAGADPENFNCLFCYCPLYALGDKCGGNFRMTETGI -KDCTNCQLPHKAQNYGYVTGKYSELAELMKKIREEKDGL ->RUMOBE_00102 hypothetical protein [Ruminococcus obeum ATCC 29174] -MSCIIEKLYLLLYQTVFSIGEVLGKCKGGVYIRNAVCK ->RUMOBE_00103 hydrolase, NUDIX family [Ruminococcus obeum ATCC 29174] -MIQDIAPHTYHNEYRPVAPDGSSFVLAYENGKSFFHKNDTDNSITLPRFRELEGNVSDLY -KNYIYLFSIDDERFYLIPGLDTSLLPGYEFHENRELRYVQPQYLAFASITGYQLWFWYRN -RRFCGCCGFPMKHDTKERMMYCPSCGRQEYPVLMPAVIVGITNGDKIICSKYEGRSFKQY -ALIAGFAEIGETIEETVHREVMEEVGLKVKNLRYYKSQPWSFSGTLLFGFFCDVDGDDTL -TVDHEELSVAQWFDRDKIICQDTGSSLTNEMMMVFAAGKEPK ->RUMOBE_00104 DNA-binding helix-turn-helix protein [Ruminococcus obeum ATCC 29174] -MKIYEKIFDRLDELHMSQMELSRRTGIATSTISDWRKKKINPQADKIVSICRALDMSLVD -LLCDEETVEPAAQIDCLTNENYMIELFRQSDAESKRRIISYIELLEVCKQINNACQSRKR -QRNVSIIQDIDGNNIVVINDIRFKGKRSINWREVRAYLKEYVGDFYMVASTGDVIYIGAD -LPNEYSGSKYTHSLKGTNAKAKANATQGIPEMIEIALGKYYRENKESKHWRNARYGWYRY -NSRFALPVYKDDEIERYNIFHASLIVRYSEDNRMYLYDIIDIKKETSNSLEP ->RUMOBE_00105 hypothetical protein [Ruminococcus obeum ATCC 29174] -MKYNIQKNVWADAYFLKIYINNKKCIIKEFPGNIGGM ->RUMOBE_00107 hypothetical protein [Ruminococcus obeum ATCC 29174] -MKRNTHFVSQKLQYVEAESLLNGQVQANPWYCGDIRQPVGQDVIGNVLSMISRIDRNAMA -AF ->RUMOBE_00106 hypothetical protein [Ruminococcus obeum ATCC 29174] -MDSLELDRSKGSLLPHTVVSAKQNVYFFSPVHFREREIGYLVLENCDYLLDHQFLFETLN -TFRTSIEALYGKLILRKKNKQLSQLYIHDSLTGLYNRMAYEKLALPLFQQYMQKGRPVGI -LFADADHLKYIQHRRIPHRNVP ->RUMOBE_00109 hypothetical protein [Ruminococcus obeum ATCC 29174] -MNLVQPVLNGILMQKCFFAVFFEGHIAGKINTKQFKVFRRKLIQSFLQEGFFIA ->RUMOBE_00108 hypothetical protein [Ruminococcus obeum ATCC 29174] -MLRIYFSCDMSLKKNCEETFLHKNTIQYRLNQIHKKSGYNPREFQDAVRLYLALKM ->RUMOBE_00110 glycosyl hydrolase family 32 [Ruminococcus obeum ATCC 29174] -MQKIYVKPKDYWMNDPNGFIYYKGMYHLFYQCFPYGPRWGRMHWGHVVSKDLVNWEEQGI -ALFPSKTDDRSGCFSGSAIEEDGKMQLYYTGVNYLTENPEDINLCVDEHFVSAQLMITSE -DGIHFDNIKDKKTVIPVIHDADIGDARHTRDPKVWKDGDIWYMVLGSTINDKQGKLLFFT -STDGEEWKFENSVTRENFGWMWECPDYFEVDNSQVVIFSPMQLFKDGKADDAQTVCMQVT -FDKETCDMKLPEKYQFLDYGTDLYAPQSTLDESGRRILTAWLHMPEPVDGKWQGMMCIPR -VVEVQKDHIYFRVHPNVQAVYTKEISEPSEADESGYRLRFSLEDGDKVNVGGYVISREGN -KICTDRSALFEKFPNHRVKFETPELKDGFEIEAYVNPNQISVFVNNGEAVITNTVYDLKK -EINTDVRVKIETL ->RUMOBE_00111 PTS HPr component phosphorylation site [Ruminococcus obeum ATCC 29174] -MREVKIFLGTIERVKDFVNAVTRLDCDVDIVSGRYVIDAKSIMGIFSVDLSKAVDLRIHA -EGAEAEKAMEVINPFIEK ->RUMOBE_00112 ABC transporter, ATP-binding protein [Ruminococcus obeum ATCC 29174] -MSFIEFKHIGKKYAGAEHKSVDDFNLNIEEKEFIAFVGPSGCGKSTTLRMIAGFEEITEG -DLYIDGKRVNETAPRDRGIAMVFQNYALYPHMTVEKNIGYGLKNMKMPADQIKKKVDWAI -DILGLQEFRYRKPKNLSGGQRQRVALGRAIVKNQKVFLMDEPLSNLDAKLRVSMRTEISK -LHREMGATTIYVTHDQVEAMTMADRIVIMKEGVIQQVGKPMELYDHPVNKFVAGFIGSPQ -MNFFDVTLKGNEVTFEDGNKLMLPEAILKKLNGKEGEMTLGIRGEDLKMDAQNLELYKEN -KMKAVITDTEVMGNENNLYFQFGGCQAVARVSKYEISQVGDEIEFVFMPSKIHFFDKETE -MNYL ->RUMOBE_00113 putative transmembrane permease MsmG [Ruminococcus obeum ATCC 29174] -MLTKKQKTINWILAVILLVLSIFFLFPVIWMLANSFKPDAAITADMNSIAAFIPPALNGN -YFENYITILTDTNFLRYMLNTLGYAALLIVLGVIVNGLAGYALAKINFPFRDQWLLIIMM -LLIVPTETVITIHFLIIAKAGLLNTVIGYVLPMIVNPFNIFLFRQVFVSLPDDVYEAAQL -DFCSPVKYFFTMVLPMSKTVVATVSVFTFLGVWNDYLWPSLVFTSSDLLTAQIGLNSITS -NDNTTMGQTLAVITLITIPVIIIYALFSKQIVEGVTSTGSKEG ->RUMOBE_00114 transmembrane permease MsmF [Ruminococcus obeum ATCC 29174] -MKKKESILGMAFFGPALVLLTLFLFLPMVLTLVFSFTDYFALNPDMTHFVGLENYINIFK -DELFVKSFFNTVKFVLIIVPCQCIGALVLALAINKVTHCKKYFKVAFFIPVVMSLAVVST -LWMDIYSPEGILNTLLAHLGISAQPFIHSAKQALPSIAVMSVWQGVGYQMIIFLGGLQNI -NPALYEAAEMDHASGWQKFKDITLPELKPLCVFVFITVTIGAFRMLVQPMVMTGGGPDHS -TYTLVYDIYETGTMNWEMGLASTMAIVFTIFVVILTIIQNVLTKGKEEKKHVNKKAKNN ->RUMOBE_00115 ABC transporter, solute-binding protein [Ruminococcus obeum ATCC 29174] -MEKEENMKKAKLILLAGLAIAVSLTGCQKKEVKPGDVAGYDEGEQYLSIWVHSIEDTLEG -QVYRESVDSFNEKYNGKYFADIEFIPRNDSGGGYSDKVNSSVLSGGLPDVLTLDGPNVAA -YAENGIIQPLAELTEEERGEYLESILDQGTYNDKLYALGVMESSVGLYYNKDILEEAGIE -VPDADHPWTQTEFMDILAKLKPLMDEKNGYPIDMTFPVGEASIYYYAPFIWANGGNLVSE -DGLTVDGYFNSEKNVEVMNYFHQIVENKYMSEAPIENLFESGRAAFKFDGAWEVNTIYEN -YPDVNLGVAPYVVGDDWDGERYTPTGSWAFAASSETDNIEGATELVKWMSGVESGVRIWN -EAKSLPSTYKAFEQIDVFQTDENYKALYEQLSKYGHPRPKTPVYPQVSTSFQQALESVGL -GGKDAQAELDKSVERINAKLERYTRE ->RUMOBE_00116 hypothetical protein [Ruminococcus obeum ATCC 29174] -MLLSTHKVTGYFTGHEERKDGKGGEHEKSKTDSSCRSGNCSQPDRMSEKRSKAWRCSRL ->RUMOBE_00117 sucrose operon repressor [Ruminococcus obeum ATCC 29174] -MGKKNITFNDIAKYTGFSKTTVSRYFNNPDSLTLKNQQIISDALDKLNYQENKVARILAN -GKTEFIGVIIPNLYLHYYSEMLNQILKTYDTYGYKFLVFTGDDHKSTEREYIQELLSYKI -EGMVILSHTIPSRELASYNLPIVTIEREDQFVSSVNTDNYMGAVQATSLLAKTGADILIH -INVELSPQVPSYGRIKGFSDICEEYQIPHELILTDTGHSYEESSLILKDLLETIDSKYQG -KTKGIFLPNDTFANIMLNHLIQKYGQLPDDYKIIGFDDSPVSREAIVPISTVGQQIDKIA -ASAMKILHEQITERHKRKPALSSEPVHKIIPPILINRKTTEPSH ->RUMOBE_00118 ABC transporter, ATP-binding protein [Ruminococcus obeum ATCC 29174] -MSETILKVQHLGKSFGNNEILKDIDFSVKPKDVTCIIGPSGSGKSTLLRCMNLLETPSSG -EIRYHGTNIMDKHVNVPEYRSKVGMVFQNFNLFNNMTVLKNCTVGQEKVLKKSKEEAHKN -AMMYLEKVGMAPYINAKPKQLSGGQKQRVAIARALAMEPEILLFDEPTSALDPQMVGEVL -EVMRTLAKDGLTMIIVTHEMAFARDVAKHVIFMGNGVIVEEGTSQQIFEDPQNEMTKEFL -SRFRNA ->RUMOBE_00119 ABC transporter, permease protein [Ruminococcus obeum ATCC 29174] -MLPESFGGRIIYLLQQYGPSFLKGAGVSMWLALVGTLFGCIIGFLVGIVQTIPVDKNDST -AKKVIIKVVKFIMACYVEFFRGTPMMAQAMFIYFGSAYLFNINMSMWFAAIFIVSINTGA -YMAETVRGGILSIDPGQTEGAKAIGMTHVQTMINVILPQALRNIMPQIGNNLIINIKDTC -VLSIIGTVELFYTTKGVAGALYTYFESFTIAMVIYFIMTFTCSRILRVIEHKMDGPDNYD -LATADTLTHTSGMYSYKERKDSRE ->RUMOBE_00120 ABC transporter, substrate-binding protein, family 3 [Ruminococcus obeum ATCC 29174] -MRKSKMWRMLTVAAVAASMTCGIIGVQSVSADDKKTLKVAMECGYAPYNWTQPDDSNGAV -QISGSSDYAYGYDVMMAKKIADELGYDLEIVKLDWDSLVPAVQSGQVDCVIAGQSITKER -QQMVDFTDPYYYASIITLVKNDGDYKDAASVEDLKGATVTSQQNTIWYDSCLPQIPDTDI -LPAQESAPAMLVALESGKCDAVVTDMPTGKAACVAYPDFKLLDFSGTDGAFEVSDEDINI -GISVQRGNDELKDAINGVLKDMTEDDYNKMMDEAISVQPLSES ->RUMOBE_00121 NlpC/P60 family protein [Ruminococcus obeum ATCC 29174] -MKKRIVCLTLALMMTATQVVSVSASREDELREEQAATSAQLDATYAQIDQLYSAKQQLQD -EINSLDANLVNVMVSIQTLEGDISNKEADIQQTQADLQKAQNAKDKQYAAMKQRIQYLYE -KGGNEAWFQMMMSADNLSDLLTKAEYTQKMYDYDRQSLEKYANTITQVTNLGNQYQQEKA -ELEGMKQEYEAQSVDLQNQIDTKKANSADCDNEIAYAQEMANEYANLIQEQQAEIEQLEA -ERIAAEEEARRQAEAEAAAAAAAEEEAAQQEQEDQTVYDEDGNEVDASEAAENGDTVYDE -DGNEVDPSQTTTETTTEDSGSSDVEYDEYGNVIDSDNTVDPDTVDTSSSSSSSSSSSSSG -SGSSIVDYATQFVGNPYVWGGTSLTGGADCSGFTQSVYAQFGYSLPRTSYEQQNWGTEVS -YADAQPGDLICYGGHVAIYMGNGQIVHASNSRDGIKISNNAAYRTILSVRRPS ->RUMOBE_00122 cell wall-binding repeat protein [Ruminococcus obeum ATCC 29174] -MKKIGGKYYYFDIKTGYTKRGFVRSANGAVVRYFQPSNYTMAKGWLKNAKGQKWYFASDG -KMYMGLKKIGKYYYYFNPSTGIAASGYVNTGNETRYFNAKYKRMVTGWTKSAKGELRYFG -SNGVMAKGLAKVGSATYYFDPSTGIAAGGWVTISGNKYYFDKSSFKMVTGTKSIDGVTYT -FSSTGIMTYSSANDSSTTSNTYFANDPKPVEQTGIKTLKNYLAGALKPVGQALYIWGGGW -YDSTRIGVSPTWQSFYLSQTSSYNYNNYRDLSTANRAKGLDCSGFVGWAAQQVMRNGNSY -TVVSGEIGSYYKNTLKWGTYVNQNYLSKTGWKVYPGDIGYDDGHTWIILGQCSDKSAVIV -HSTPNAGCQIAGTCTPDGDYDSQAVALANKYMSRYAGFKKYTYRPSCGNYIRRGNYMRWY -SSTLSDPDNFKNKTADVILQELFGF ->RUMOBE_00123 conserved domain protein [Ruminococcus obeum ATCC 29174] -MGKVCKKSWIAAIFLGVMLFAAGFAFQASTVDAQAATTGFRTVKGKTYYYKNGKKVKGWL -TLNGKKYFLNTRTGVLLKGWQRSSRGPKRYFNKKMVLCIPE ->RUMOBE_00124 diaminopimelate dehydrogenase [Ruminococcus obeum ATCC 29174] -MSIRIGILGYGNLGRGVECAIKHNPDMELVAVFTRRDPATVKILTDSASVYHVDEAEKMK -DKIDVMILCGGSATDLPVQTPKYAQWFNVVDSFDTHARVPEHFANVDKAASESNHVGIIS -VGWDPGMFSLNRMYANAILTNGKDYTFWGKGVSQGHSDAIRRIDGVKDGKQYTIPVEAAL -EAVRNGENPELTTRQKHTRECFVVAEEGADLARIENEIKTMPNYFDEYDTTVHFISEEEL -KRDHSGIPHGGFVIRTGKTGWNDENSHVIEYSLKLDSNPEFTSSVIVAYARAAYRMSQEG -QKGCKTVFDVAPAYLSALDGAELRKHLL ->RUMOBE_00125 hypothetical protein [Ruminococcus obeum ATCC 29174] -MKRNNRPSGISIKYLEGFYKKLTIVDWDIMIMGVLSC ->RUMOBE_00126 DnaJ domain protein [Ruminococcus obeum ATCC 29174] -MFDPYSVLGVSRDASDDEIKKAYRKLSRKYHPDANINNPNKAQAEEKFKEVQQAYEQIMK -EREYGSSGNYNSYGGFGGFGTQGQNTYQDEEAVRRQAAANYINSRHYKEAMNVLSSLQQR -NGQWYYLSAMANMGLGNNVNALNDARSAVNMEPDNMQYRMLLQRLEGGGTWYQEQQNPFG -GMPSDGSDYCMKLCLANLACNLCCPGGMFCC ->RUMOBE_00127 hypothetical protein [Ruminococcus obeum ATCC 29174] -MFGYVVLNKPEIKFKDFDMYRSFYCGLCRELRERYGISGQITLSYDMTFVILLLSALYEP -PTRKGTTRCIVHPVRKQTVRKNAITEYGADMNIFLTYYKCKDDWNDEKKILSLAYGKLLE -SKEKKSEQQWKKKIDVIISCLNELSEMEQEGETDIDRVSGCFGRIMAEIFAYREDVWEPT -LRRMGFYLGKFIYLMDAYDDVEDDVKKGNYNPFAKDYIIKGFDDRIKNMLLLMMAETCRE -FEKLPIIKYADILRNILYSGVWCRFESISRKRREEREKEDV ->RUMOBE_00128 hypothetical protein [Ruminococcus obeum ATCC 29174] -MLSRDIQKRYAENEKYLAATAKFRQRFNREKNMMNQRKTHHIYSCPGCGQKIRIPKGKGK -IEIECPKCHTKFVKRS ->RUMOBE_00129 hypothetical protein [Ruminococcus obeum ATCC 29174] -MRDKFNKFMQGRYGVDAFARFTMGVALVAIIISIFSRVETELVHYLTR ->RUMOBE_00130 hypothetical protein [Ruminococcus obeum ATCC 29174] -MSLAVVTLKKGEGRLLKSGGMWIFDNEIATIMGSFVNGDIVLIHDFDGYPLGRGFINTNS -KITVRLLTRDENQKIDEEFLEKRVRDAWEYRKKVTDTSSCRLIFGEADFLPGLVVDKFED -VLVVQSLALGIDRLKNTILELLKKVLAEDGIQIRGIYERSDAKVRKQEGMELYKGFIGPE -FPTLVEIVENGVKYQVDIKDGQKTGFFLDQKYNRLAIQKLCKDARVLDCFTHTGSFALNA -GIAGAKEVTGVDASQLAVDQATENAKLNGLDDKVKFICEDVFELLPKLEEEGEKYDVVIL -DPPAFTKSRSSVKNAVKGYREINLRGLKLVKDGGFLATCSCSHFMEYELFTKTIGQAARS -AHKRLRQVEYRTQAPDHPILWASDESYYLKFYIFQVCDEK ->RUMOBE_00131 hypothetical protein [Ruminococcus obeum ATCC 29174] -MKSWKSISFCAKIKRVFYLRYNFENQKRRIRKEKNYESCCGYTEKGRGPSSEIRRNVDI ->RUMOBE_00132 hypothetical protein [Ruminococcus obeum ATCC 29174] -MEDEDMKKRSVIVAMLCSMCLAVSTPIPAMADASKVVTLGADLTDEQKNTMMNYFKADAS -QVQVISVTNQDEHDLLGKYIPSEQIGTRTLSCAYVKPTQSGGIKVRTANLNYVTCNMIAT -ALSTAGVTNCEVVAACPYEVSGTGALTGVMKAYESASGQELDSTKKDLAAKEVVVTGDVA -QQVGQDNATNIINQAKMQIIGDNIQNADEIYNIVYNIAEQNGVSLSQDEIDTIVSLLQQI -AQQNYDIQEMKKTLANIQQNLEQSKAEAEGQPTPTPIESDVADEGTGEDITTNVDSGALG -GNVKETSTEDPGLAEQTGADTNNAGESSDSSTGIPDATEDGTVNTDGSSDGTTEDTPQES -TDSSTDNSSSEEIPAATEDGSTENTDTSADGTTENADGSTEGTDENTDASTEDTLNTETL -TEEGKAKFEQAQQFCKGEYEGDLAVLQSVVQNVTELPVTLDQDVASKLSKKVLETYIKVL -NDAGASYVPADTDKYFSAELNVLDKELKTVFSIDTEIADDDLLVNVDAEVRQKLYDDTMK -FFANLYGETTSEDTSTDTAEAGTDENTEANSEDGTTEETY ->RUMOBE_00133 putative xanthine dehydrogenase accessory factor [Ruminococcus obeum ATCC 29174] -MNLFELYNVLKDGQKGRNNFLVTVIQGNGTGSRYFLADGEVKAQCGSGDIETERLRELVQ -PGESGIAEADGRRLFVESLKQPAHLVICGAGHVAQQVILLAGKVGFTVTVLEDRVSFAGE -ALRAGADQVICDSFENALKQIPGSEDTYFLIVTRGHRYDRVCLEAILKKPYAYVGMMASR -GRSALLKKQMEEDGFDRKVLDEIHTPVGLDIHAETPEEIAVSIVSELIKEKNSVRKTSGY -DAELLDYLTGEKEPDTKKALATIVARRGSAPRGIGTKMLVLEDGRIIGTIGGGCMESEVQ -HLCLRMLHEERAQGQIFTVDMTASQAEEEGLVCGGTIQVFMEVI ->RUMOBE_00134 conserved domain protein [Ruminococcus obeum ATCC 29174] -MTYGFSYAPYNDLQAFKDACTENTIAIMVEPVQGEGGVHPATMEFMQGLRKFCDENDMLL -LIDEVQTGWCRAGAVMSYMNYGIKQDIVALYYKAL ->RUMOBE_00135 hypothetical protein [Ruminococcus obeum ATCC 29174] -MARKYGIEKYGPNRYHIVTAKMGFHGRTFGAMSATGQPANGC ->RUMOBE_00136 HAD hydrolase, family IA, variant 1 [Ruminococcus obeum ATCC 29174] -MMIKAVIFDIDNTLYSYDENHIYGMEALAVYCRDSFGITTDEMQACYRKAGRIMTDRIGT -DTAAIHSRMLRMQCMLELLEQPLFPHARNMYHAYWDTFIQHIQSNPGILEFMKELKKRKI -RIGIGTDMTAYVQYRKLEAIGVTPYIDFIVTSEEVGAEKPHYHFFDICVEKAGVRPEECA -FIGDNVRKDIEGAWESGMKGIWYTQEKEPSEHRYFPTIRSFRGIDVDEFLK ->RUMOBE_00137 transcriptional regulator, ArsR family [Ruminococcus obeum ATCC 29174] -MAEEREEISCECQEIHEDLLKIVNETMPDEEELYDLADLFKVFADSTRIRILFVLFESEV -CVCDLAKVLNMTQSAVSHQLRILKQNKLVKARRDGKSIFYSLADDHVRTIISMGREHILE ->RUMOBE_00138 cadmium-exporting ATPase [Ruminococcus obeum ATCC 29174] -MNKKQKKMLARIIIAAVLLIVLHFVPITEIPRFICYLAVYLVIGYDIVKKAFKGIKNGQV -FDENFLMAIATIGAFALAVYEKSGDYNESIAVMLFYQIGELFQSYAVGKSRRNITELMDI -RPDYANIENDGKLEKVDPDEVEVGSVIVVQPGEKVPIDGVIVEGNSSLNTSALTGESLPR -SAKAGDEIISGCINMTGVLKIKTTKEFDESTVSKILELIEESSSRKSRSENFISKFAHYY -TPAVCYGALALAILSPLVNLVLLHNPAMWGQWIYRALTFLVISCPCALVISIPLGFFAGI -GGASNAGVLVKGSNYLETLARTKYVVFDKTGTLTKGVFEVVGVHHNTMEEKKILEYAALA -ESFSSHPISRSLKTAYGKEIDQKRVTDVEEISGNGVTAKVDGISVAVGNTKLMKRIGVEA -VECHQVGTVIHVAIDGAYAGHILISDVLKPTSKEAIVNLKKNGIKETVMLTGDIDKVAQQ -VAGELGVDRVYSELLPADKVSKVEELLAKKTEKEKLAFVGDGINDAPVLSRADIGIAMGA -MGSDAAIEAADVVLMDDDPMKIVKAIRIAKKCMRIVYENIYFAIGIKVICLILGAVGIAN -MWVAIFADVGVMIIAVLNAIRTLFVKKL ->RUMOBE_00139 heavy metal-associated domain protein [Ruminococcus obeum ATCC 29174] -MKKSYKIEVDCANCANKMEEAAKNTAGVKDASVNFMMLKMKVEFEEGQDPDSVMKEVLKN -CKKVEDDCEIYL ->RUMOBE_00140 23S rRNA (uracil-5-)-methyltransferase RumA [Ruminococcus obeum ATCC 29174] -MKKGEIYEGVIEKVDFPNKGYVFVEDQKVLIKNGIPGQKVRFMIQKKRSGRAQGRILEVI -EKSPLETREPVCSNFPACGGCMYQTMSYEDQLHMKEIQIRELLEEALVQGGQIDENGNAA -FEWEGIHGSPIEFGYRNKMEFSFGDEVKDGPLSLGLHKKGSTYDILNTDDCKLVHKDMTD -ILTCVREFFREKGASYYRKLQHTGYLRHLMLRRGVTSGEILVHLVTTTQEEYDLEPLKDQ -LLALPLEGRIVGIMHILNDSLSDVVQSDETRILYGQDYFYETLLGLKFRISTFSFFQPNS -LAAEVLYNIVRDYIQNTSGMEVFDLYSGTGTIAQLLAPVAKEVIGVEIVEDAVAAARENA -KLNGLDNCKFIAGDVLKVLDDLTEKPDVIVLDPPRDGIHPKALPKILSYGVKRIVYVSCK -ATSLARDLEAFLQAGYRLEKACCVDQFCETVWTEAVALLVKE ->RUMOBE_00141 hypothetical protein [Ruminococcus obeum ATCC 29174] -MKFKQLRQITGAVLLLCQRQKSEGYEETAGCKCFKYINEE ->RUMOBE_00142 hypothetical protein [Ruminococcus obeum ATCC 29174] -MNLNNLNLNEKIEDLLAALKKKEDEKEKNTVLWVLAIIGAVAAVAGIAFAVYRFFAPDYL -EDFEEDFDDDFDDYFEDEEE ->RUMOBE_00143 hypothetical protein [Ruminococcus obeum ATCC 29174] -MVYQKFWSDKVQKHNRKFARKYGKMDGLVVYYDL ->RUMOBE_00144 phosphatidylserine decarboxylase [Ruminococcus obeum ATCC 29174] -MTTYTADRKGHVTENDSFQDRFLEKMYGSAIGRALLKPLVNPVLSEIGGRILDSRVSALA -VPAFIRHAGIDMRDYEPKKYWSYNDFFTRQIREGAREIDMVPEAFVSPCDSRVSVYPISE -NCHVKIKHTSYTVAELLKNPVLVKRYEGGLLWVFRLCVDDYHRYIYIDDGFESRRVHIPG -ELHTVNPVANDVYPIYKENTREYALLKTVNFGTVLMMEVGALMVGRIENVPLRGRVKRGK -EKGNFAFGGSTVILMTQKERVLPDPDIFMNSENGIETRVKLGERIGVSEVLE ->RUMOBE_00145 CDP-alcohol phosphatidyltransferase [Ruminococcus obeum ATCC 29174] -MIGFYDYTVVVTYISLVSSILGMFCAIDGKLTLAVSCLAFSGLCDMFDGKIARTKKNRTD -DEKSFGIQIDSLCDIVCFGIFPIILGYKLGMCKAYSIAILAFYGMAGVIRLAYFNVMEAK -RQSETSENRKYYQGLPITSMAVIMPLLFVASVFFPGFRYFVGLLHAAMLIVGFLFIFNFR -FRKPTNQELVVLVAVVAVAVLFILFYKEGWWAHYHTIRKLKGAAA ->RUMOBE_00146 hypothetical protein [Ruminococcus obeum ATCC 29174] -MIITITYKLVLVVVGIGVAVFGRGFLHQYLEGILPVFYLGLGLNIFCVTFMTILVFHPLL -ARSALVWGLSILEKFHILRHKEGRLKKLENSMDTYRDTAAYLKTHPRVIVNVIAITFVQR -MAMFAVTWFVYKAFSLSGTGFWAVLFLQAVISVSVDMLPLPGGMGISETLFLTIFTPVFG -TLLLPGMVLSRGLGYYGELLISALFTIVAQLTIGQGHGKENKESYE ->RUMOBE_00147 hypothetical protein [Ruminococcus obeum ATCC 29174] -MMDAIRSADKRWLVPGLALVAFFIWGESIIIWYMMRSYGIKLKKRNLFSLFIGRILFQLY -YTICEWWTANAGILYEKEKYIYPGFCGYSDDHYDHL ->RUMOBE_00148 hypothetical protein [Ruminococcus obeum ATCC 29174] -MKIRREYRMKKILKGLTRILPAYGIFPVIFSFVFNCLVYSGSRMIAGGWYHHNIETAVDR -SLPFVPQFLIIYFGCYLFWAVNYILIARQERHSVYQFFTGDFISRCICLGFFLLYPTTNT -RPVITDGGLWNQLALWLYSIDAADNLFPSIHCLVSWFCYLGIRGKKEILVWYQRVSAVLA -ILVFVSTLLTKQHVLVDVAGGILLAELCFCIGRNTNLYKIYERFGSRIEKKILKSTEG ->RUMOBE_00150 ATP-dependent DNA helicase PcrA [Ruminococcus obeum ATCC 29174] -MNTIYDTLNDRQKEAVLHTDGPLLILAGAGSGKTRVLTHRIAYLIAEKGVNPWNILAITF -TNKAAHEMRERVDKIAGSEGGSVWVSTFHSTCVRILRRHIDRLGYDNNFTIYDADDQKTL -IKEICRKMNIDTKKVKERALLAQISHAKDELLNPDEMEMNAGADFNQKRAAQVYREYQAA -LRRNNALDFDDLICKTVELFQNCGDVLQSYQERFRYIMVDEYQDTNTAQFKFVSLLASRY -ENLCVVGDDDQSIYRFRGANIGNILGFERVFPDAKVIRLEQNYRSTQNILNAANGVIANN -TERKEKTLWTENPEGEKIHFRQFMNGYEEAEFVVGDIARRHREGTAEYHNCAVLYRTNAQ -SRLFEEKCLLANIPYKIVGGVNFYARKEIKDLLCYLKTVDNAADDLAVRRILNVPKRGIG -ATTVGRIQDYADMMNISFYDALRVAEEVPSIGRSLSKVDGFVTFIQSLKSKAQAYSVSEL -LEEIIDLTGYVDELKAEDTEEARARVENIDELISKTVSYEETMKAENREATLSGFLEEIA -LIADIDSVDENQDYVVLMTLHSAKGLEFPYVYLAGMEDGMFPSSMCIFSGDQSDLEEERR -LCYVGITRAMKELTMTSAQQRMVRGETQYNRVSRFVREIPRELVDLGHTVQEHKPKIPEA -KSPLNSYLQMKKSFHTKAFQPQNFKVTKADSLDYGVGDTVRHIKFGVGIVKDIVEGGRDY -EVTVDFDKVGVKKMFAAFAKLKKI ->RUMOBE_00149 hypothetical protein [Ruminococcus obeum ATCC 29174] -MYHKLYSSIISCFFVVTYFELMFSCYLFNYT ->RUMOBE_00151 hypothetical protein [Ruminococcus obeum ATCC 29174] -MSVNTDSMIRNILDRVSRIGYVKPEDIPNIDLYMDQVTTFMEAQLAHSKRYEDDKILTKT -MINNYAKNNLLPSPEKKRYSKEHLLVLIFIYYFKNILSISDIQTLLGPLTDKYFKSMDDM -DLTAIYNEVFSMEKGQIESLQKELLERYEIAQGTFENAPEEDRDFLKLFSFICLLSFDVY -VKKMLIEQMIDELRASTDTDPKHKKK ->RUMOBE_00152 hypothetical protein [Ruminococcus obeum ATCC 29174] -MKKRFSTMQRSGVLKRIFTCVIALALAMPMTVQTGWAATTSYTVTVADGYLALRNAKAYD -DKNEIGKLYTGDTVDVTDSSGSTYWYVYASRLKKSGYVNRRYLANSSSERYVSVKSGYLA -LRNAKAFKSSNEVAELYTGDKVQIADASDSTYWLVYVPGLGKGGYVNKDYLVKNKDNTAS -AVVTKTVKVKSGYLALRNAKAYDDANEIGQLNNGDTVQVQDSSGSTYWYVYSSRLGKSGY -VNKNYLQ ->RUMOBE_00154 hypothetical protein [Ruminococcus obeum ATCC 29174] -MVSAEAQIVAGSSKSRHPARKTDNSLRMNIYPPEKFYFTKSCFLYDKL ->RUMOBE_00153 N-acetylmuramoyl-L-alanine amidase [Ruminococcus obeum ATCC 29174] -MRKLLSVFLAGCLLLLLPATIWASAETTYESEQGQAMIKAPSSASPNASANTEADVDSSD -DSEGTLSPSGSSSGMDWSAANTASTPSSASRQFTVCIDPGHQGSWVDMSAQEPMAPGSSQ -TKNKATTGTAGNYSKVPEYEVNLEVSLVLEKELTSRGYKVVMTREDNDKAISNKERAEFA -TESGADITVRIHANSDNSASAAGALTMAPTSSNQYLDKELIEKSNTLASCIIDSYCNATG -LANKGVISADNMTGTNWSTVPVAILEMGFMSNQNDDLYITNSANHETMARGIADGIDAYF -NTVEPAITTVGEHLADLTSQLEKNYTDPLEQQGELWAIAAMDLKTQAYSTVNAEQSMQSA -SVIKAFIMAAVYDKLIYPDEGTTVSSDYESTLKPLLTSMITVSDNDSANELVRKLGGGDF -QTGAAIVNEFCQERNYTSTHLGREFLASDPTDDNYTSASDCCRLLSDIYNSSLVNAEASA -EMLALLTSQTKTAKIPAGVPSGTATANKTGELADSGKLGVVENDIAIVFDKEHPYVLCVL -SNNIKNNSSAQNTIKKISAGVYTYMTTKQK ->RUMOBE_00155 TrpR family protein YerC/YecD [Ruminococcus obeum ATCC 29174] -MGKKIRTEEVDHLFEAILCLKNKEECYTFFEDVCTINELLSLSQRFEVAKMLTDKRTYLD -ISEKTGASTATISRVNRSLNYGNDGYEMVFSRMKEKETAGKTEE ->RUMOBE_00156 hypothetical protein [Ruminococcus obeum ATCC 29174] -MLKYHVYETEHIMNVTKGAGLWVKKSEQKRLTIYLKQSFV ->RUMOBE_00157 ATPase, AAA family [Ruminococcus obeum ATCC 29174] -MDLFEYAKSKTLDRESPLASRLRPTTLDEVVGQEHIVGKDKLLYRAIKADKLTSVIFYGP -PGTGKTTLAKVIANTTSASFTQINATVAGKKDMEEVVKEAQDRLGMYGKKTILFIDEIHR -FNKGQQDYLLPFVEDGTIILIGATTENPYFEVNGALLSRSIIFELKPLSNENIRTLILRA -VNDCDKGMGNYGAVIDDDALEFLADMAGGDARSALNAVELGILTTPKSEDGSIHLTLDVA -SECIQKRVIKYDKKGDNHYDIISAFIKSMRGSDPDAAVYYLAKMLYAGEDVKFIARRIMI -LASEDIGNADPQALQVAVAAAQAVERVGMPESQIILSQAVTYMACAPKSNAAVNAIFAAM -DSVKHTQTTVPVHLQDAHYGGHEKLGKGIGYKYAHDYPDHYVNQQYLPSEIEGSHFYEPG -DLGYEKR ->RUMOBE_00158 hypothetical protein [Ruminococcus obeum ATCC 29174] -MAEPFTTYKLIVLYMAKHSKETLTNSQISEFILDRDYTDYFQLQKVLSELVETELLRKRT -ISNSSYYEITEEGKKTLSYFEKELSGEIKNEVKDYLQTHGGQVQERILTPADYYTTPQGN -YAVRCQIIEKDTTVLDLTLAAPSREAAQAMCHSWAKKSQDIYGMLMGELI ->RUMOBE_00159 radical SAM protein, TIGR01212 family [Ruminococcus obeum ATCC 29174] -MNTDAVTQQKNWNGKPYHSLDHMLRERFGEKVYKVTLNGGMSCPNRDGKLGSRGCIFCSA -GGSGDFAADAELSVTEQIDSQIALLSAKRPIHKYIAYFQAYTNTYAPVEYLRKIFTEALA -HPSVVALSIGTRPDCLGEDVLDLLNELNQRKPVWVELGLQTMHERTAAYIRRGYPLSCFE -DAVQNLRKRQIEVIVHTILGLPGESEKDILETMQYLNGQDIQGIKLQLLHVLKGTDLAED -YLAGKFRVYEREEYLNLLIDCLEYLDPSIVIHRMTGDGPEKLLIAPLWASRKREVLNLLH -HEMKVRNSWQGKQLQ ->RUMOBE_00160 hypothetical protein [Ruminococcus obeum ATCC 29174] -MGRFFSMDNKFFTFMNKVADLCILNIICLVCCIPIVTAGASITAMYYVTLKMVRNEEAYI -VRSFFKSFKDNFKQATIINLIMIAVGAVLYLDLNVAKNMPGSAGQIFHVIFMAFVIIYYV -LLLYVYPILARFYNTIRNTIKNALFMAIRHLPYTVVMVLIGLCPLLLLFIGSYQIQSTLF -VLFLVMGFGVIAYCNSFFLVKIFDLYMPKEENEEQKSEGTEV ->RUMOBE_00161 polysaccharide deacetylase [Ruminococcus obeum ATCC 29174] -MKKRKAGIGILVIVLIITAVRVKSMDSHRISGRILAENIAGPGMMRLVEQSMQAQAQKTS -VTEIAVKEWKHPQAALTFDDGPDIRYTPLLLDGLKERNVRASFFLLGEKVEQYPELVERM -QKEGHLVGNHTYHHVQLDKLNETKAREEILKTNNLIYETTGVYPLYLRPPFGAWKKNLEL -CVEMLPVFWTIDTLDWKVKNTEKIVRTVKEQIEDGAIILMHDEYDTSVEAALQVADDLKA -QGYQLVTVDQLILP ->RUMOBE_00162 hypothetical protein [Ruminococcus obeum ATCC 29174] -MDHVVITIARQYGSGGRTVGKMLAERLGISFYDKQIIHMASDESGIDVNLFGKIEAGDKI -KSSLFGNKSSIYKGDLVLPGNKDFISDENLFNYQAKVVNDLAEKESYVIVGRCVNYVFKD -RPNTLRVFIHAPWEFRVEQASQKISGSREDVEKFLLKDDKRKQDYYRKFAGGQWSDATNY -DLCLNSGKLGFDKCVDAIETQLKIMLGK ->RUMOBE_00163 ABC transporter, ATP-binding protein [Ruminococcus obeum ATCC 29174] -MLEVKDLQVYYGVIQALKGISFRVEKGEVIALIGANGAGKTTTLQTLTGIIPAKAGSIVF -EGKDLTKTPAHKIVEMGMAHVPEGRRVFADMSVYENLLMGAYTRKDKNEIAQSLEMVYKR -FPRLKERTGQRAGTLSGGEQQMLAMGRALMSKPRIILMDEPSMGLSPIFVNEIFDIIKEV -SESGTTVLLVEQNAKKALSIADRAYVLETGSITLEGKADDLLHDESVQKAYLGE ->RUMOBE_00164 ABC transporter, ATP-binding protein [Ruminococcus obeum ATCC 29174] -MAMLEVNHLAIQFGGLRAVDGFNVSIEKGQLYGLIGPNGAGKTTIFNLLTGVYKPTEGII -KLDGQDITGKSTIEINKAGIARTFQNIRLFKEMTVLDNVKVGLHNHHSYSTLTGILRLPK -YHKVEKEMNEKAMEILKVFDLDKEAQTLAGNLPYGKQRKLEIARALATDPKLLLLDEPAA -GMNPNETQELMDTIRFVQEHFDMTTLLIEHDMKLVGGICEELTVLNFGQVLAQGETSKVL -KDPTVITAYLGE ->RUMOBE_00165 branched-chain amino acid ABC transporter, permease protein [Ruminococcus obeum ATCC 29174] -MKNMNKTTKNNLINYGLVLVLFVIVEILSATGNLSNLLKGLMVPLCVYTIASISLNLVVG -FSGELSLGHAGFMCVGAYSSALFSHIASDIPQVPRFILAILVGAAVAAVFGVIIGIPVLR -LRGDYLAIVTLAFGEIIKNLINILYVGIDDSGLHVATSSAALKLGTGGKQILKGALGISG -TGALYKDVKHYFFPIGIVLVLLTLFIVQNLVNSRSGRAITATRDNRIAAESVGIDVTKFK -LLAFTVSAALAGVAGVLYAHNLSMLKVSGFDYNMSILILVYVVLGGIGNLRGSIIATVIL -YALPELLRGFANYRMLIYAIVLIVMMLFNWAPAARNWRARMVEKFKGTAKKKEAA ->RUMOBE_00166 branched-chain amino acid ABC transporter, permease protein [Ruminococcus obeum ATCC 29174] -MSFLSYLKDGISLGSIYAIIALGYTMVYGIAKMLNFAHGDVIMVGAYVILTAVTRGGMSP -VLAVGLSVIFCTVLGVVIEKVAYSPLRKASSNLAVLITAIGVSYLLQNLALLIFGADAKS -FVTVVDVPSVTLFNGELTIKGITIVTILACVVIMVGLTLFVKKTKPGRAMLAVSEDRDAA -QLMGVNVNATISLTFAIGSGLAAIAGLLLCQTYPTLTPYTGAMPGIKAFVAAVFGGIGSI -PGAMVGGILLGVIEIFGKAYISSQVADAICFAVLIVVLLVKPTGLFGKNIQEKV ->RUMOBE_00167 receptor family ligand-binding protein [Ruminococcus obeum ATCC 29174] -MKNMKRVLAVTAAVAMTAAMMPTAVFADEAETFKIGVIGPMTGDYAQYGLGVYHAVQLAA -EEVNANGGFNGYNVEVLAAGDDQGDPEKAVNAYNDLLDKGMQMLCGTVTSGACIAVGAEA -AESTFLFTPSGTAVDCITSGSNEFRMCFTDPAQGTKSAEFIGKHKLATKVAVLYDSSADY -NSGVNDAFVAAAEDNGLEVVADEAYTADSNTDFSVQLKKIKDSGAELLFLPNYYSDNALI -LQQAHDAGMDDMKKFGVDGMDGILGVENFDTSLAEGVMLLTPFSATSDDEKSKAFVDAYE -AANKDEVPNQFAADAYDVIYAMQLAANDAGITPDMSNEDISAAMSASMLNIELDGLTGKA -KWTEDGECDKEPKAFEIKDGAYVEMQ ->RUMOBE_00168 ribosomal protein L20 [Ruminococcus obeum ATCC 29174] -MARIKGGLNAKKRHNRTLKLAKGYRGARSKQYRVAKQSVMRALASSYAGRKQKKRQFRQL -WIARINAAARMNGLSYSKMMHGLKVANIDINRKMLAELAVNDAEGFAALAEIAKKAVA ->RUMOBE_00169 ribosomal protein L35 [Ruminococcus obeum ATCC 29174] -MRNKAYKSHILTKKSQKRKRNLRKATVVDSTNLKNIKKALPYL ->RUMOBE_00170 translation initiation factor IF-3 [Ruminococcus obeum ATCC 29174] -MINEQIRDKEVRLIGPDGAQLGIVSSREAFAKAQEAGLDLVKIAPQAKPPVCKIIDYGKY -RYELSRKEKEAKKKQKTIDIKEVRLSPNIDTNDLKTKVNAARKFLSKGDRVKVTLRFRGR -EMAHMASSKHVLDDFAELLADVAVVEKAPKIEGRSMTMFLSEKR ->RUMOBE_00171 hypothetical protein [Ruminococcus obeum ATCC 29174] -MIMHNSKRHAGIVCAEKIKICIKNNLTLYKRHDIFLKYVENKAEFHSHLSAYNAAQVDIS -QQADLQRSGNAQR ->RUMOBE_00172 hypothetical protein [Ruminococcus obeum ATCC 29174] -MTILKCSATKCLYNENELCSRGDIEITGDNAHRADETNCGSFRDRATAGMTNSKAHHCGC -EKINIDCKAQECTYNDQRKCTASAIDVVGCSTDGCNETKCNTFSCKC ->RUMOBE_00173 hypothetical protein [Ruminococcus obeum ATCC 29174] -MKKSTSTVKLRNVPITISANVRLLLLMWSDAAQTDVTKQNVIPSPANADPYSQKDAASNS -VFFMSESFSF ->RUMOBE_00174 cell division protein FtsZ [Ruminococcus obeum ATCC 29174] -MSNEAESSAKIIVIGVGGAGNNAVNRMVEEAIGGVEFVGVNTDKQALTLCKAPTVLQIGE diff --git a/Fred2/Data/examples/test_annovar.out b/Fred2/Data/examples/test_annovar.out deleted file mode 100644 index e101afb6..00000000 --- a/Fred2/Data/examples/test_annovar.out +++ /dev/null @@ -1,5 +0,0 @@ -line9 nonsynonymous SNV IL23R:NM_144701:exon9:c.G1142A:p.R381Q, 1 67705958 67705958 G A comments: rs11209026 (R381Q), a SNP in IL23R associated with Crohn's disease -line10 nonsynonymous SNV ATG16L1:NM_001190267:exon9:c.A550G:p.T184A,ATG16L1:NM_017974:exon8:c.A841G:p.T281A,ATG16L1:NM_001190266:exon9:c.A646G:p.T216A,ATG16L1:NM_030803:exon9:c.A898G:p.T300A,ATG16L1:NM_198890:exon5:c.A409G:p.T137A, 2 234183368 234183368 A G comments: rs2241880 (T300A), a SNP in the ATG16L1 associated with Crohn's disease -line11 nonsynonymous SNV NOD2:NM_022162:exon4:c.C2104T:p.R702W,NOD2:NM_001293557:exon3:c.C2023T:p.R675W, 16 50745926 50745926 C T comments: rs2066844 (R702W), a non-synonymous SNP in NOD2 -line12 nonsynonymous SNV NOD2:NM_022162:exon8:c.G2722C:p.G908R,NOD2:NM_001293557:exon7:c.G2641C:p.G881R, 16 50756540 50756540 G C comments: rs2066845 (G908R), a non-synonymous SNP in NOD2 -line14 frameshift deletion GJB2:NM_004004:exon2:c.35delG:p.G12fs, 13 20763686 20763686 G - comments: rs1801002 (del35G), a frameshift mutation in GJB2, associated with hearing loss \ No newline at end of file diff --git a/Fred2/Data/examples/vcftestfile1.vcf b/Fred2/Data/examples/vcftestfile1.vcf deleted file mode 100644 index 3697ac31..00000000 --- a/Fred2/Data/examples/vcftestfile1.vcf +++ /dev/null @@ -1,81 +0,0 @@ -##fileformat=VCFv4.1 -##fileDate=20160916 -##source=strelka -##source_version=2.0.17.strelka1 -##startTime=Fri Sep 16 15:46:06 2016 -##reference=file:///lvcftest/reference_genomes/Homo_sapiens/DNA/UCSC/hg19/Sequence/WholeGenomeFasta/genome.fa -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##content=strelka somatic snv calls -##germlineSnvTheta=0.001 -##priorSomaticSnvRate=1e-06 -##INFO= -##INFO= -##INFO= -##INFO= -##INFO= -##INFO= -##INFO= -##FORMAT= -##FORMAT= -##FORMAT= -##FORMAT= -##FORMAT= -##FORMAT= -##FORMAT= -##FORMAT= -##FILTER= -##FILTER= -##FILTER= -##cmdline=/lvcftest/strelka/1.0.14/libexec/consolidateResults.pl --config=/lvcftest/qeana10-IVAC_TEST_SPACE-QT003-QT003E18-QT003E18R1-0/somaticvariantCalling_v1_0_20161474032345786/analysis/config/run.config.ini -##SnpEffVersion="4.1k (build 2015-09-07), by Pablo Cingolani" -##SnpEffCmd="SnpEff hg19 /vcftest/qeana10-IVAC_TEST_SPACE-QT003-QT003E21-QT003E21R1-0/variantannotation_v2_0_20161474536338921/data/QT003004R0_QT003009R6_passed_somatic_variants.vcf " -##INFO= -##INFO= -##INFO= -#CHROM POS ID REF ALT QUAL FILTER INFO FORMAT NORMAL TUMOR -chr1 12835731 . C T . PASS NT=ref;QSS=134;QSS_NT=134;SGT=CC->CT;SOMATIC;TQSS=1;TQSS_NT=1;ANN=T|synonymous_variant|LOW|PRAMEF12|PRAMEF12|transcript|NM_001080830.4|Coding|2/3|c.333C>T|p.Asn111Asn|353/1778|333/1452|111/483|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 288:0:0:0:0,0:288,291:0,0:0,0 373:1:0:0:0,0:357,358:1,1:14,14 -chr1 16332629 . G T . PASS NT=ref;QSS=866;QSS_NT=103;SGT=GG->TT;SOMATIC;TQSS=1;TQSS_NT=1;ANN=T|missense_variant|MODERATE|C1orf64|C1orf64|transcript|NM_178840.2|Coding|2/2|c.298G>T|p.Gly100Trp|366/921|298/510|100/169|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 139:1:0:0:0,0:0,0:137,140:1,1 180:1:0:0:0,0:0,0:0,0:179,180 -chr1 17298913 . C G . PASS NT=ref;QSS=402;QSS_NT=106;SGT=CC->GG;SOMATIC;TQSS=1;TQSS_NT=1;ANN=G|missense_variant|MODERATE|CROCC|CROCC|transcript|NM_014675.4|Coding|37/37|c.6026C>G|p.Ser2009Cys|6095/6656|6026/6054|2009/2017||,G|downstream_gene_variant|MODIFIER|MFAP2|MFAP2|transcript|NM_002403.3|Coding||c.*2502G>C|||||2086|,G|downstream_gene_variant|MODIFIER|MFAP2|MFAP2|transcript|NM_001135248.1|Coding||c.*2502G>C|||||2086|,G|downstream_gene_variant|MODIFIER|MFAP2|MFAP2|transcript|NM_001135247.1|Coding||c.*2502G>C|||||2086|,G|downstream_gene_variant|MODIFIER|MFAP2|MFAP2|transcript|NM_017459.2|Coding||c.*2502G>C|||||2086| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 80:0:0:0:0,0:80,80:0,0:0,0 81:0:0:0:0,0:1,1:80,83:0,0 -chr1 22902919 . C A . PASS NT=ref;QSS=85;QSS_NT=85;SGT=CC->AC;SOMATIC;TQSS=1;TQSS_NT=1;ANN=A|missense_variant|MODERATE|EPHA8|EPHA8|transcript|NM_020526.3|Coding|3/17|c.369C>A|p.Asn123Lys|494/4996|369/3018|123/1005||,A|missense_variant|MODERATE|EPHA8|EPHA8|transcript|NM_001006943.1|Coding|3/5|c.369C>A|p.Asn123Lys|494/1853|369/1488|123/495|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 81:0:0:0:0,0:81,82:0,0:0,0 114:0:0:0:30,30:84,84:0,0:0,0 -chr1 22987484 . G A . PASS NT=ref;QSS=298;QSS_NT=94;SGT=GG->AA;SOMATIC;TQSS=1;TQSS_NT=1;ANN=A|missense_variant|MODERATE|C1QB|C1QB|transcript|NM_000491.3|Coding|3/3|c.367G>A|p.Ala123Thr|499/1044|367/762|123/253|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 52:0:0:0:0,0:0,0:52,53:0,0 65:0:0:0:62,62:2,2:0,0:1,1 -chr1 27686354 . T G . PASS NT=ref;QSS=75;QSS_NT=75;SGT=TT->GT;SOMATIC;TQSS=1;TQSS_NT=1;ANN=G|missense_variant|MODERATE|MAP3K6|MAP3K6|transcript|NM_004672.4|Coding|17/29|c.2314A>C|p.Ile772Leu|2583/4348|2314/3867|772/1288||,G|missense_variant|MODERATE|MAP3K6|MAP3K6|transcript|NM_001297609.1|Coding|16/28|c.2290A>C|p.Ile764Leu|2559/4324|2290/3843|764/1280|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 71:1:0:0:0,0:0,0:0,0:70,73 128:0:0:0:0,0:0,0:33,33:95,95 -chr1 28120118 . C G . PASS NT=ref;QSS=607;QSS_NT=112;SGT=CC->GG;SOMATIC;TQSS=1;TQSS_NT=1;ANN=G|missense_variant|MODERATE|STX12|STX12|transcript|NM_177424.2|Coding|3/9|c.263C>G|p.Pro88Arg|388/3079|263/831|88/276|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 93:0:0:0:0,0:93,94:0,0:0,0 123:0:0:0:0,0:0,0:123,124:0,0 -chr1 36645328 . G A . PASS NT=ref;QSS=79;QSS_NT=79;SGT=GG->AG;SOMATIC;TQSS=1;TQSS_NT=1;ANN=A|synonymous_variant|LOW|MAP7D1|MAP7D1|transcript|NM_018067.4|Coding|15/17|c.2292G>A|p.Glu764Glu|2745/3571|2292/2526|764/841||,A|synonymous_variant|LOW|MAP7D1|MAP7D1|transcript|NM_001286365.1|Coding|14/16|c.2178G>A|p.Glu726Glu|2631/3457|2178/2412|726/803||,A|synonymous_variant|LOW|MAP7D1|MAP7D1|transcript|NM_001286366.1|Coding|16/18|c.2193G>A|p.Glu731Glu|2646/3472|2193/2427|731/808|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 61:0:0:0:0,0:0,0:61,61:0,0 82:0:0:0:27,28:0,0:55,55:0,0 -chr1 36645329 . G A . PASS NT=ref;QSS=74;QSS_NT=73;SGT=GG->AG;SOMATIC;TQSS=1;TQSS_NT=1;ANN=A|missense_variant|MODERATE|MAP7D1|MAP7D1|transcript|NM_018067.4|Coding|15/17|c.2293G>A|p.Glu765Lys|2746/3571|2293/2526|765/841||,A|missense_variant|MODERATE|MAP7D1|MAP7D1|transcript|NM_001286365.1|Coding|14/16|c.2179G>A|p.Glu727Lys|2632/3457|2179/2412|727/803||,A|missense_variant|MODERATE|MAP7D1|MAP7D1|transcript|NM_001286366.1|Coding|16/18|c.2194G>A|p.Glu732Lys|2647/3472|2194/2427|732/808|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 61:0:0:0:0,0:0,0:61,61:0,0 81:0:0:0:25,26:0,0:56,56:0,0 -chr1 38187353 . G T . PASS NT=ref;QSS=232;QSS_NT=152;SGT=GG->GT;SOMATIC;TQSS=1;TQSS_NT=1;ANN=T|missense_variant|MODERATE|EPHA10|EPHA10|transcript|NM_001099439.1|Coding|11/17|c.2125C>A|p.Leu709Met|2211/5511|2125/3027|709/1008|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 180:0:0:0:0,0:0,0:180,180:0,0 154:0:0:0:0,0:0,0:96,96:58,59 -chr1 39895594 . G C . PASS NT=ref;QSS=138;QSS_NT=118;SGT=GG->CG;SOMATIC;TQSS=1;TQSS_NT=1;ANN=C|missense_variant|MODERATE|MACF1|MACF1|transcript|NM_012090.5|Coding|59/93|c.10798G>C|p.Glu3600Gln|10850/17689|10798/16293|3600/5430|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 106:1:0:0:0,0:0,0:105,107:0,0 154:0:0:0:0,0:52,52:102,104:0,0 -chr1 41976563 . G C . PASS NT=ref;QSS=66;QSS_NT=66;SGT=GG->CG;SOMATIC;TQSS=1;TQSS_NT=1;ANN=C|synonymous_variant|LOW|HIVEP3|HIVEP3|transcript|NM_024503.4|Coding|9/9|c.6780C>G|p.Val2260Val|7875/12402|6780/7221|2260/2406||,C|synonymous_variant|LOW|HIVEP3|HIVEP3|transcript|NM_001127714.2|Coding|8/8|c.6777C>G|p.Val2259Val|7792/12319|6777/7218|2259/2405|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 62:0:0:0:0,0:0,0:62,62:0,0 78:0:0:0:0,0:21,21:57,57:0,0 -chr1 43240959 . A G . PASS NT=ref;QSS=20;QSS_NT=20;SGT=AA->AG;SOMATIC;TQSS=1;TQSS_NT=1;ANN=G|missense_variant|MODERATE|C1orf50|C1orf50|transcript|NM_024097.3|Coding|5/5|c.494A>G|p.Asp165Gly|561/1015|494/600|165/199||,G|non_coding_exon_variant|MODIFIER|C1orf50|C1orf50|transcript|NR_040733.1|Noncoding|4/4|n.445A>G|||||| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 39:0:0:0:39,39:0,0:0,0:0,0 69:0:0:0:62,62:0,0:7,7:0,0 -chr1 43260097 . A T . PASS NT=ref;QSS=98;QSS_NT=92;SGT=AA->AT;SOMATIC;TQSS=1;TQSS_NT=1;ANN=T|synonymous_variant|LOW|LOC100129924|LOC100129924|transcript|NM_001242750.1|Coding|6/7|c.423A>T|p.Thr141Thr|663/983|423/738|141/245|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 121:0:0:0:120,120:0,0:0,0:1,1 191:0:0:0:136,136:0,0:0,0:55,55 -chr1 43897967 . G C . PASS NT=ref;QSS=126;QSS_NT=114;SGT=GG->CG;SOMATIC;TQSS=1;TQSS_NT=1;ANN=C|missense_variant|MODERATE|SZT2|SZT2|transcript|NM_015284.3|Coding|36/71|c.5128G>C|p.Gly1710Arg|5212/13979|5128/10128|1710/3375|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 96:0:0:0:0,0:0,0:96,97:0,0 132:0:0:0:0,0:45,45:87,87:0,0 -chr1 45524347 . G A . PASS NT=ref;QSS=245;QSS_NT=129;SGT=GG->AG;SOMATIC;TQSS=1;TQSS_NT=1;ANN=A|missense_variant|MODERATE|ZSWIM5|ZSWIM5|transcript|NM_020883.1|Coding|4/14|c.1186C>T|p.Leu396Phe|1414/5836|1186/3558|396/1185|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 191:0:0:0:0,0:1,1:190,190:0,0 224:0:0:0:79,79:0,0:145,145:0,0 -chr1 53427242 . C A . PASS NT=ref;QSS=336;QSS_NT=164;SGT=CC->AC;SOMATIC;TQSS=1;TQSS_NT=1;ANN=A|missense_variant|MODERATE|SCP2|SCP2|transcript|NM_002979.4|Coding|6/16|c.464C>A|p.Ala155Asp|632/2725|464/1644|155/547||,A|missense_variant|MODERATE|SCP2|SCP2|transcript|NM_001007098.2|Coding|5/11|c.332C>A|p.Ala111Asp|500/2092|332/969|111/322||,A|missense_variant|MODERATE|SCP2|SCP2|transcript|NM_001193599.1|Coding|5/15|c.392C>A|p.Ala131Asp|560/2653|392/1572|131/523||,A|missense_variant|MODERATE|SCP2|SCP2|transcript|NM_001193600.1|Coding|5/15|c.332C>A|p.Ala111Asp|500/2593|332/1512|111/503||,A|missense_variant|MODERATE|SCP2|SCP2|transcript|NM_001193617.1|Coding|5/15|c.221C>A|p.Ala74Asp|574/2667|221/1401|74/466|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 205:0:0:0:0,0:205,205:0,0:0,0 164:0:0:0:78,79:86,86:0,0:0,0 -chr1 60324155 . C T . PASS NT=ref;QSS=95;QSS_NT=94;SGT=CC->CT;SOMATIC;TQSS=1;TQSS_NT=1;ANN=T|missense_variant|MODERATE|HOOK1|HOOK1|transcript|NM_015888.4|Coding|13/22|c.1298C>T|p.Ser433Leu|1555/5857|1298/2187|433/728|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 65:0:0:0:0,0:65,65:0,0:0,0 66:0:0:0:0,0:40,40:0,0:26,26 -chr1 67299689 . C G . PASS NT=ref;QSS=237;QSS_NT=117;SGT=CC->CG;SOMATIC;TQSS=1;TQSS_NT=1;ANN=G|missense_variant|MODERATE|WDR78|WDR78|transcript|NM_024763.4|Coding|12/17|c.1876G>C|p.Gly626Arg|1932/3844|1876/2547|626/848||,G|downstream_gene_variant|MODIFIER|WDR78|WDR78|transcript|NM_207014.2|Coding||c.*3647G>C|||||3593| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 103:0:0:0:0,0:103,103:0,0:0,0 86:0:0:0:0,0:34,34:52,52:0,0 -chr1 86919157 . G A . PASS NT=ref;QSS=371;QSS_NT=131;SGT=GG->AG;SOMATIC;TQSS=1;TQSS_NT=1;ANN=A|missense_variant|MODERATE|CLCA2|CLCA2|transcript|NM_006536.5|Coding|13/14|c.2261G>A|p.Gly754Glu|2423/4024|2261/2832|754/943|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 133:0:0:0:0,0:0,0:133,134:0,0 322:0:0:0:185,185:0,0:137,138:0,0 -chr1 91180132 . G C . PASS NT=ref;QSS=144;QSS_NT=130;SGT=GG->CG;SOMATIC;TQSS=1;TQSS_NT=1;ANN=C|synonymous_variant|LOW|BARHL2|BARHL2|transcript|NM_020063.1|Coding|2/3|c.807C>G|p.Leu269Leu|849/1496|807/1164|269/387|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 132:0:0:0:0,0:0,0:132,135:0,0 184:0:0:0:0,0:51,51:132,132:1,1 -chr1 92643966 . C T . PASS NT=ref;QSS=15;QSS_NT=15;SGT=CC->CT;SOMATIC;TQSS=1;TQSS_NT=1;ANN=T|stop_gained|HIGH|KIAA1107|KIAA1107|transcript|NM_015237.2|Coding|7/9|c.1225C>T|p.Gln409*|1323/4556|1225/4065|409/1354||;LOF=(KIAA1107|KIAA1107|1|1.00);NMD=(KIAA1107|KIAA1107|1|1.00) DP:FDP:SDP:SUBDP:AU:CU:GU:TU 64:0:0:0:0,0:64,65:0,0:0,0 113:0:0:0:2,2:106,106:0,0:5,5 diff --git a/Fred2/Data/examples/vcftestfile2.vcf b/Fred2/Data/examples/vcftestfile2.vcf deleted file mode 100644 index 92e5b60d..00000000 --- a/Fred2/Data/examples/vcftestfile2.vcf +++ /dev/null @@ -1,23 +0,0 @@ -##fileformat=VCFv4.0 -##fileDate=20090805 -##source=myImputationProgramV3.1 -##reference=1000GenomesPilot-NCBI36 -##phasing=partial -##INFO= -##INFO= -##INFO= -##INFO= -##INFO= -##INFO= -##FILTER= -##FILTER= -##FORMAT= -##FORMAT= -##FORMAT= -##FORMAT= -#CHROM POS ID REF ALT QUAL FILTER INFO FORMAT NA00001 NA00002 NA00003 -20 14370 rs6054257 G A 29 PASS NS=3;DP=14;AF=0.5;DB;H2 GT:GQ:DP:HQ 0|0:48:1:51,51 1|0:48:8:51,51 1/1:43:5:.,. -20 17330 . T A 3 q10 NS=3;DP=11;AF=0.017 GT:GQ:DP:HQ 0|0:49:3:58,50 0|1:3:5:65,3 0/0:41:3 -20 1110696 rs6040355 A G,T 67 PASS NS=2;DP=10;AF=0.333,0.667;AA=T;DB GT:GQ:DP:HQ 1|2:21:6:23,27 2|1:2:0:18,2 2/2:35:4 -20 1230237 . T . 47 PASS NS=3;DP=13;AA=T GT:GQ:DP:HQ 0|0:54:7:56,60 0|0:48:4:51,51 0/0:61:2 -20 1234567 microsat1 GTCT G,GTACT 50 PASS NS=3;DP=9;AA=G GT:GQ:DP 0/1:35:4 0/2:17:2 1/1:40:3 diff --git a/Fred2/Data/examples/vcftestfile3.vcf b/Fred2/Data/examples/vcftestfile3.vcf deleted file mode 100644 index 02ba87d5..00000000 --- a/Fred2/Data/examples/vcftestfile3.vcf +++ /dev/null @@ -1,66 +0,0 @@ -##fileformat=VCFv4.1 -##fileDate=20160916 -##source=strelka -##source_version=2.0.17.strelka1 -##startTime=Fri Sep 16 15:46:06 2016 -##reference=file:///lvcftest/reference_genomes/Homo_sapiens/DNA/UCSC/hg19/Sequence/WholeGenomeFasta/genome.fa -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##contig= -##content=strelka somatic snv calls -##germlineSnvTheta=0.001 -##priorSomaticSnvRate=1e-06 -##INFO= -##INFO= -##INFO= -##INFO= -##INFO= -##INFO= -##INFO= -##FORMAT= -##FORMAT= -##FORMAT= -##FORMAT= -##FORMAT= -##FORMAT= -##FORMAT= -##FORMAT= -##FILTER= -##FILTER= -##FILTER= -##cmdline=/lvcftest/strelka/1.0.14/libexec/consolidateResults.pl --config=/lvcftest/qeana10-IVAC_TEST_SPACE-QT003-QT003E18-QT003E18R1-0/somaticvariantCalling_v1_0_20161474032345786/analysis/config/run.config.ini -##SnpEffVersion="4.1k (build 2015-09-07), by Pablo Cingolani" -##SnpEffCmd="SnpEff hg19 /vcftest/qeana10-IVAC_TEST_SPACE-QT003-QT003E21-QT003E21R1-0/variantannotation_v2_0_20161474536338921/data/QT003004R0_QT003009R6_passed_somatic_variants.vcf " -##INFO= -##INFO= -##INFO= -#CHROM POS ID REF ALT QUAL FILTER INFO FORMAT NORMAL TUMOR -chr1 17298913 . C G . PASS NT=ref;QSS=402;QSS_NT=106;SGT=CC->GG;SOMATIC;TQSS=1;TQSS_NT=1;ANN=G|missense_variant|MODERATE|CROCC|CROCC|transcript|NM_014675.4|Coding|37/37|c.6026C>G|p.Ser2009Cys|6095/6656|6026/6054|2009/2017||,G|downstream_gene_variant|MODIFIER|MFAP2|MFAP2|transcript|NM_002403.3|Coding||c.*2502G>C|||||2086|,G|downstream_gene_variant|MODIFIER|MFAP2|MFAP2|transcript|NM_001135248.1|Coding||c.*2502G>C|||||2086|,G|downstream_gene_variant|MODIFIER|MFAP2|MFAP2|transcript|NM_001135247.1|Coding||c.*2502G>C|||||2086|,G|downstream_gene_variant|MODIFIER|MFAP2|MFAP2|transcript|NM_017459.2|Coding||c.*2502G>C|||||2086| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 80:0:0:0:0,0:80,80:0,0:0,0 81:0:0:0:0,0:1,1:80,83:0,0 -chr1 92643966 . C T . PASS NT=ref;QSS=15;QSS_NT=15;SGT=CC->CT;SOMATIC;TQSS=1;TQSS_NT=1;ANN=T|stop_gained|HIGH|KIAA1107|KIAA1107|transcript|NM_015237.2|Coding|7/9|c.1225C>T|p.Gln409*|1323/4556|1225/4065|409/1354||;LOF=(KIAA1107|KIAA1107|1|1.00);NMD=(KIAA1107|KIAA1107|1|1.00) DP:FDP:SDP:SUBDP:AU:CU:GU:TU 64:0:0:0:0,0:64,65:0,0:0,0 113:0:0:0:2,2:106,106:0,0:5,5 -chr1 117122299 . C CCTA . PASS IC=1;IHP=4;NT=ref;QSI=84;QSI_NT=83;RC=0;RU=CTA;SGT=ref->het;SOMATIC;TQSI=1;TQSI_NT=1;ANN=CCTA|stop_gained&inframe_insertion|HIGH|IGSF3|IGSF3|transcript|NM_001542.3|Coding|10/11|c.3108_3109insTAG|p.Glu1036_Glu1037insTer|3738/7189|3108/3645|1036/1214||,CCTA|stop_gained&inframe_insertion|HIGH|IGSF3|IGSF3|transcript|NM_001007237.2|Coding|10/11|c.3048_3049insTAG|p.Glu1016_Glu1017insTer|3816/7267|3048/3585|1016/1194||;LOF=(IGSF3|IGSF3|2|1.00);NMD=(IGSF3|IGSF3|2|1.00) DP:DP2:TAR:TIR:TOR:DP50:FDP50:SUBDP50 42:42:47,48:0,0:6,5:50.69:0.08:0.00 39:39:17,17:14,14:12,12:49.02:0.01:0.00 -chr1 227279607 . GC G . PASS IC=0;IHP=9;NT=ref;QSI=103;QSI_NT=103;RC=1;RU=C;SGT=ref->het;SOMATIC;TQSI=1;TQSI_NT=1;ANN=G|frameshift_variant|HIGH|CDC42BPA|CDC42BPA|transcript|NM_003607.3|Coding|16/36|c.2334delG|p.Lys778fs|3277/10506|2334/5160|778/1719||,G|frameshift_variant|HIGH|CDC42BPA|CDC42BPA|transcript|NM_014826.4|Coding|15/35|c.2091delG|p.Lys697fs|3034/10263|2091/4917|697/1638||;LOF=(CDC42BPA|CDC42BPA|2|1.00) DP:DP2:TAR:TIR:TOR:DP50:FDP50:SUBDP50 114:114:112,113:0,0:0,0:111.51:0.33:0.00 143:143:98,98:33,33:10,10:139.34:0.15:0.00 -chr8 23225702 . TGGCCACGTTGGCGGGGGCCTG T . PASS IC=0;IHP=4;NT=ref;QSI=631;QSI_NT=137;RC=1;RU=GGCCACGTTGGCGGGGGCCTG;SGT=ref->het;SOMATIC;TQSI=1;TQSI_NT=1;ANN=T|inframe_deletion|MODERATE|LOXL2|LOXL2|transcript|NM_002318.2|Coding|2/14|c.142_162delCAGGCCCCCGCCAACGTGGCC|p.Gln48_Ala54del|501/3810|142/2325|48/774||,T|downstream_gene_variant|MODIFIER|LOC100507156|LOC100507156|transcript|NR_038323.1|Noncoding||n.*2065_*2085delGGCCACGTTGGCGGGGGCCTG|||||2065| DP:DP2:TAR:TIR:TOR:DP50:FDP50:SUBDP50 154:154:179,181:0,0:6,5:144.63:0.00:0.00 113:113:1,1:76,76:35,35:102.17:0.09:0.00 -chr8 139749820 . C A . PASS NT=ref;QSS=54;QSS_NT=54;SGT=CC->AC;SOMATIC;TQSS=1;TQSS_NT=1;ANN=A|missense_variant&splice_region_variant|MODERATE|COL22A1|COL22A1|transcript|NM_152888.1|Coding|23/65|c.2086G>T|p.Gly696Trp|2533/6346|2086/4881|696/1626|| DP:FDP:SDP:SUBDP:AU:CU:GU:TU 62:0:0:0:0,0:62,62:0,0:0,0 118:0:0:0:24,24:94,94:0,0:0,0 - diff --git a/Fred2/Data/svms/svmhc/A_0201_10 b/Fred2/Data/svms/svmhc/A_0201_10 deleted file mode 100755 index 5a74ff79..00000000 --- a/Fred2/Data/svms/svmhc/A_0201_10 +++ /dev/null @@ -1,100 +0,0 @@ -SVM-light Version V6.02 -0 # kernel type -3 # kernel parameter -d -0.82 # kernel parameter -g -1 # kernel parameter -s -1 # kernel parameter -r -empty # kernel parameter -u -200 # highest feature index -177 # number of training documents -90 # number of support vectors plus 1 -1.0895221 # threshold b --0.017779727671566495500465876489216 10:1 31:1 58:1 62:1 92:1 107:1 124:1 149:1 178:1 186:1 --0.0018991711231879460173438411985103 1:1 25:1 53:1 66:1 86:1 107:1 136:1 151:1 168:1 190:1 --0.04299737152030134318403398197006 6:1 40:1 41:1 75:1 86:1 114:1 124:1 156:1 174:1 194:1 --0.034656970340715534395492625208135 4:1 24:1 44:1 74:1 97:1 113:1 133:1 153:1 174:1 193:1 --0.031523760671927657239788089782451 9:1 38:1 44:1 80:1 95:1 104:1 131:1 143:1 164:1 196:1 --0.058793866010559706070104368791363 3:1 21:1 58:1 75:1 95:1 118:1 131:1 145:1 161:1 195:1 -0.19806322179533553118346844712505 5:1 28:1 60:1 67:1 86:1 104:1 138:1 153:1 174:1 181:1 -0.41400677882610265045926212224003 8:1 31:1 43:1 69:1 92:1 108:1 128:1 150:1 169:1 181:1 --0.017799285117861919636172984837685 15:1 33:1 45:1 72:1 83:1 105:1 138:1 149:1 176:1 192:1 -0.10452498169281683459974630068245 1:1 30:1 60:1 78:1 83:1 116:1 130:1 145:1 165:1 190:1 --0.22693462477825215861670926642546 6:1 21:1 41:1 64:1 92:1 104:1 129:1 154:1 180:1 198:1 --0.053462144493940905176643241247803 19:1 23:1 54:1 70:1 84:1 120:1 140:1 145:1 173:1 197:1 --0.18026157375919776848505193811434 4:1 31:1 48:1 64:1 92:1 108:1 134:1 156:1 178:1 189:1 --0.082950021524164418984526037093019 5:1 38:1 56:1 64:1 83:1 106:1 127:1 159:1 169:1 190:1 --0.23196642362409511384235827335942 18:1 35:1 59:1 63:1 90:1 106:1 130:1 152:1 169:1 189:1 -0.27093707747525042073277745657833 1:1 38:1 45:1 63:1 95:1 109:1 136:1 143:1 161:1 189:1 -0.28454013755396301288413951624534 11:1 30:1 50:1 76:1 98:1 113:1 130:1 150:1 170:1 186:1 -0.19318964155552578731978030646133 15:1 26:1 53:1 66:1 95:1 101:1 125:1 158:1 177:1 188:1 -0.0077224767113710608354426589983177 1:1 31:1 50:1 66:1 97:1 107:1 137:1 151:1 164:1 198:1 -0.17286347428578877072347097509919 20:1 31:1 48:1 71:1 98:1 109:1 122:1 159:1 171:1 188:1 --0.29657338308730113451971988069999 17:1 30:1 50:1 78:1 97:1 116:1 126:1 141:1 161:1 188:1 --0.090854482209049153285107536248688 20:1 30:1 50:1 70:1 96:1 111:1 138:1 149:1 170:1 188:1 --0.026379421731460704625416013868744 20:1 29:1 51:1 69:1 96:1 109:1 133:1 150:1 166:1 188:1 --0.1581537444292372418530590039154 13:1 30:1 43:1 69:1 100:1 113:1 130:1 141:1 173:1 186:1 --0.32394337466467154618143808875175 17:1 36:1 60:1 69:1 85:1 109:1 136:1 150:1 169:1 187:1 -0.10378098856993585308305938497142 5:1 30:1 46:1 64:1 92:1 108:1 136:1 152:1 165:1 190:1 -0.17100572218677764779748429191386 18:1 30:1 43:1 64:1 90:1 109:1 132:1 151:1 169:1 182:1 -0.20923751606000773328730701905442 18:1 31:1 52:1 68:1 90:1 110:1 134:1 160:1 178:1 198:1 -0.20951916434438852543387099558458 3:1 38:1 41:1 76:1 98:1 108:1 138:1 157:1 169:1 190:1 -0.16008355058462628295323781912884 15:1 38:1 41:1 73:1 84:1 104:1 127:1 153:1 178:1 190:1 --0.043360018566129490680260971657844 16:1 27:1 55:1 75:1 95:1 101:1 134:1 153:1 179:1 181:1 --0.12810193224741384110387798500597 1:1 37:1 56:1 68:1 90:1 104:1 124:1 152:1 174:1 181:1 --0.21965432099303916491095378660248 8:1 38:1 54:1 78:1 90:1 108:1 136:1 153:1 176:1 185:1 --0.12102921015382789304837274357851 10:1 24:1 53:1 63:1 90:1 117:1 132:1 158:1 171:1 181:1 --0.16336050725817069517731283667672 6:1 30:1 43:1 61:1 98:1 110:1 140:1 159:1 162:1 195:1 -0.41324249882429076041745474867639 9:1 40:1 57:1 61:1 85:1 117:1 128:1 153:1 176:1 188:1 -0.32653762489982590677684015645355 17:1 26:1 41:1 73:1 98:1 117:1 140:1 156:1 177:1 200:1 -0.053830648592310355315948555698924 20:1 28:1 50:1 66:1 81:1 103:1 133:1 150:1 175:1 198:1 -0.19134835937047628418028466512624 4:1 30:1 57:1 70:1 86:1 104:1 125:1 150:1 169:1 190:1 --0.39205542109912444592723090863728 10:1 31:1 41:1 72:1 89:1 117:1 135:1 148:1 170:1 198:1 --0.17321588574945162575247081804264 7:1 26:1 52:1 73:1 88:1 115:1 134:1 142:1 175:1 186:1 --0.094400881026865668399494779805536 11:1 23:1 41:1 64:1 84:1 115:1 130:1 157:1 179:1 191:1 --0.20739010954900713445958615466225 20:1 38:1 56:1 66:1 93:1 103:1 125:1 156:1 176:1 190:1 --0.44000000000000000222044604925031 5:1 28:1 60:1 61:1 98:1 111:1 121:1 141:1 166:1 190:1 -0.43438855036930879016665585368173 18:1 30:1 56:1 70:1 90:1 116:1 136:1 158:1 161:1 190:1 -0.33228011176578103880174808182346 18:1 28:1 56:1 72:1 83:1 118:1 122:1 141:1 174:1 198:1 -0.052950455966806558860682230260863 18:1 30:1 60:1 75:1 100:1 106:1 136:1 145:1 176:1 198:1 -0.22107630694689492378834927421849 20:1 31:1 50:1 63:1 90:1 114:1 133:1 144:1 177:1 197:1 --0.08602820309097379547491613038801 9:1 38:1 50:1 75:1 88:1 101:1 134:1 144:1 166:1 190:1 --0.35122756869881610608530309036723 18:1 33:1 48:1 63:1 83:1 116:1 136:1 144:1 177:1 190:1 --0.079122109118322042631277213331487 18:1 32:1 55:1 71:1 84:1 114:1 122:1 155:1 177:1 184:1 --0.055124553837732480354727471194565 20:1 32:1 58:1 70:1 91:1 118:1 133:1 149:1 173:1 194:1 --0.034293594805715414686186903736598 16:1 21:1 43:1 76:1 85:1 105:1 128:1 158:1 164:1 196:1 --0.31709841303413927038334918506735 16:1 30:1 56:1 70:1 92:1 113:1 125:1 150:1 179:1 196:1 -0.40597304251648624884296623349655 10:1 31:1 41:1 74:1 84:1 101:1 130:1 141:1 165:1 190:1 --0.0035659494358818081931328247691226 10:1 24:1 47:1 76:1 93:1 101:1 127:1 150:1 173:1 192:1 -0.0077484067918302075225756020415702 10:1 30:1 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30:1 43:1 78:1 90:1 117:1 121:1 149:1 178:1 --0.002748422303650740767394511365751 6:1 39:1 56:1 63:1 90:1 113:1 128:1 142:1 180:1 -0.0015669918561865192521004308545685 9:1 30:1 57:1 73:1 90:1 102:1 138:1 157:1 170:1 -0.00088274922882522596691984295702582 15:1 30:1 50:1 63:1 100:1 118:1 138:1 152:1 168:1 diff --git a/Fred2/Data/svms/svmhc/A_1101_10 b/Fred2/Data/svms/svmhc/A_1101_10 deleted file mode 100755 index 4a988937..00000000 --- a/Fred2/Data/svms/svmhc/A_1101_10 +++ /dev/null @@ -1,49 +0,0 @@ -SVM-light Version V6.02 -0 # kernel type -3 # kernel parameter -d -0.38 # kernel parameter -g -1 # kernel parameter -s -1 # kernel parameter -r -empty # kernel parameter -u -200 # highest feature index -45 # number of training documents -39 # number of support vectors plus 1 -0.66521208 # threshold b --0.035722838046191252026062556979014 15:1 31:1 50:1 76:1 84:1 110:1 133:1 141:1 170:1 186:1 --0.16469386244181755118987098285288 8:1 37:1 56:1 77:1 89:1 113:1 129:1 155:1 177:1 184:1 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118:1 133:1 152:1 166:1 184:1 --0.0044400578247583925156627415731236 15:1 38:1 50:1 78:1 97:1 109:1 131:1 155:1 164:1 197:1 --0.0038578048534165798599815389025025 6:1 30:1 53:1 77:1 93:1 117:1 121:1 156:1 161:1 194:1 --0.00089946167469371544715694977156772 17:1 23:1 55:1 75:1 98:1 110:1 130:1 151:1 165:1 190:1 diff --git a/Fred2/Data/svms/svmhc/A_1101_9 b/Fred2/Data/svms/svmhc/A_1101_9 deleted file mode 100755 index be0c68d3..00000000 --- a/Fred2/Data/svms/svmhc/A_1101_9 +++ /dev/null @@ -1,72 +0,0 @@ -SVM-light Version V6.02 -0 # kernel type -3 # kernel parameter -d -0.54 # kernel parameter -g -1 # kernel parameter -s -1 # kernel parameter -r -empty # kernel parameter -u -180 # highest feature index -90 # number of training documents -62 # number of support vectors plus 1 -0.82016395 # threshold b --0.23999999999999999111821580299875 16:1 22:1 45:1 74:1 85:1 110:1 129:1 145:1 169:1 --0.049997085135200770855679053283893 14:1 37:1 58:1 64:1 84:1 104:1 121:1 150:1 168:1 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63:1 98:1 108:1 128:1 147:1 175:1 --0.0028586604239834063900804750346651 10:1 37:1 56:1 61:1 86:1 112:1 135:1 157:1 167:1 diff --git a/Fred2/Data/svms/svmhc/A_2402_9 b/Fred2/Data/svms/svmhc/A_2402_9 deleted file mode 100755 index 4dc351ab..00000000 --- a/Fred2/Data/svms/svmhc/A_2402_9 +++ /dev/null @@ -1,82 +0,0 @@ -SVM-light Version V6.02 -2 # kernel type -3 # kernel parameter -d -0.041 # kernel parameter -g -1 # kernel parameter -s -1 # kernel parameter -r -empty # kernel parameter -u -180 # highest feature index -84 # number of training documents -72 # number of support vectors plus 1 -0.55725896 # threshold b --0.26765443728857096772344448254444 3:1 24:1 50:1 70:1 96:1 109:1 134:1 148:1 166:1 --0.49990490178890856221016747440444 16:1 25:1 43:1 69:1 90:1 109:1 130:1 157:1 172:1 -0.68252079189957637339603024884127 1:1 40:1 48:1 63:1 85:1 104:1 131:1 149:1 168:1 --0.26016013842519469800862452757428 18:1 25:1 50:1 75:1 98:1 110:1 123:1 143:1 164:1 --0.30139423700985856768852499953937 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--0.4041915369515966527380612660636 13:1 38:1 52:1 70:1 97:1 106:1 130:1 143:1 170:1 --0.4142366227726951843912672757142 7:1 26:1 58:1 70:1 90:1 117:1 124:1 143:1 166:1 --0.52010055097555307757062337259413 10:1 21:1 56:1 78:1 84:1 120:1 140:1 152:1 173:1 --0.27807316355743594282756703250925 6:1 30:1 56:1 66:1 81:1 103:1 136:1 160:1 169:1 --0.24016178944181038046323806156579 16:1 26:1 50:1 70:1 99:1 101:1 126:1 150:1 161:1 --0.047032136508655474071982638406553 16:1 23:1 60:1 73:1 86:1 103:1 129:1 156:1 161:1 -0.21357581300830713599836485627748 1:1 40:1 43:1 65:1 90:1 120:1 132:1 160:1 170:1 --0.022966199034725541527901526706046 10:1 27:1 58:1 78:1 90:1 110:1 138:1 157:1 166:1 diff --git a/Fred2/Data/svms/svmhc/B_1501_10 b/Fred2/Data/svms/svmhc/B_1501_10 deleted file mode 100755 index 06059f64..00000000 --- a/Fred2/Data/svms/svmhc/B_1501_10 +++ /dev/null @@ -1,64 +0,0 @@ -SVM-light Version V6.02 -0 # kernel type -3 # kernel parameter -d -0.62 # kernel parameter -g -1 # kernel parameter -s -1 # kernel parameter -r -empty # kernel parameter -u -200 # highest feature index -66 # number of training documents -54 # number of support vectors plus 1 -0.62915323 # threshold b --0.083021737176603327412749422364868 13:1 28:1 48:1 74:1 89:1 120:1 126:1 156:1 169:1 189:1 --0.10471446767564338009570690246619 15:1 37:1 50:1 77:1 100:1 111:1 136:1 147:1 175:1 192:1 --0.15777239668910161829451510584477 9:1 33:1 47:1 66:1 95:1 106:1 138:1 150:1 169:1 199:1 --0.050305871759056548786492868430287 13:1 36:1 51:1 76:1 83:1 105:1 130:1 159:1 166:1 190:1 --0.01207920179930313184235579626602 10:1 30:1 45:1 78:1 90:1 117:1 133:1 157:1 165:1 198:1 --0.061474446290831367967211207314904 15:1 35:1 45:1 77:1 95:1 108:1 121:1 158:1 163:1 184:1 -0.13094787964025556004088457484613 14:1 32:1 46:1 61:1 90:1 101:1 128:1 152:1 177:1 185:1 -0.12141670978431826077859057022579 15:1 30:1 55:1 73:1 86:1 106:1 129:1 149:1 169:1 200:1 -0.011407972528211983431756237905574 18:1 30:1 49:1 73:1 86:1 111:1 138:1 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93:1 104:1 132:1 146:1 169:1 188:1 --0.14183856297716784800044820258336 6:1 26:1 58:1 63:1 89:1 115:1 137:1 154:1 165:1 199:1 --0.088055626123974675700800673894264 12:1 31:1 46:1 80:1 84:1 120:1 136:1 144:1 175:1 186:1 --0.0043694269858243553472654241431883 6:1 33:1 41:1 63:1 95:1 104:1 123:1 144:1 164:1 184:1 -0.090680864053602802665743354282313 8:1 30:1 49:1 64:1 93:1 118:1 127:1 146:1 178:1 200:1 -0.043097584766276675338758650468662 15:1 34:1 50:1 64:1 83:1 108:1 130:1 156:1 177:1 200:1 -0.065154555757767421142467867412051 6:1 34:1 55:1 69:1 86:1 101:1 126:1 156:1 178:1 185:1 --0.1153834444572445216969924786099 15:1 21:1 49:1 78:1 93:1 109:1 126:1 152:1 171:1 193:1 --0.025844202955654198283763633980925 1:1 35:1 49:1 64:1 95:1 117:1 121:1 145:1 177:1 189:1 --0.054745819974539186580919647440169 12:1 21:1 52:1 64:1 93:1 113:1 130:1 158:1 165:1 198:1 --0.081359673698819384712876967569173 16:1 36:1 42:1 70:1 96:1 105:1 133:1 156:1 176:1 199:1 --0.07993105580376817786980581104217 2:1 30:1 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--0.00077456748430454003349204805672912 17:1 24:1 43:1 66:1 84:1 118:1 140:1 156:1 165:1 186:1 diff --git a/Fred2/Data/svms/svmhc/B_1501_9 b/Fred2/Data/svms/svmhc/B_1501_9 deleted file mode 100755 index 8063c46c..00000000 --- a/Fred2/Data/svms/svmhc/B_1501_9 +++ /dev/null @@ -1,104 +0,0 @@ -SVM-light Version V6.02 -2 # kernel type -3 # kernel parameter -d -0.001 # kernel parameter -g -1 # kernel parameter -s -1 # kernel parameter -r -empty # kernel parameter -u -180 # highest feature index -186 # number of training documents -94 # number of support vectors plus 1 -0.98011718 # threshold b --43.312741467088265778784261783585 7:1 26:1 46:1 76:1 95:1 114:1 130:1 157:1 164:1 -34.811914674160163940541679039598 7:1 26:1 48:1 63:1 93:1 117:1 126:1 157:1 180:1 -47.171079296496024824136839015409 3:1 30:1 48:1 66:1 87:1 108:1 138:1 144:1 165:1 --71.970577770110153892346716020256 9:1 25:1 49:1 76:1 85:1 106:1 136:1 141:1 174:1 --2.7148888077529806928112066088943 13:1 22:1 53:1 66:1 83:1 102:1 140:1 150:1 169:1 -80 6:1 34:1 53:1 79:1 98:1 116:1 138:1 157:1 178:1 -36.705254386996763571460178354755 6:1 34:1 45:1 73:1 86:1 107:1 132:1 144:1 165:1 -20.328936571056367199616943253204 15:1 38:1 54:1 73:1 90:1 118:1 137:1 158:1 180:1 -2.3828534848587166194988640199881 8:1 38:1 41:1 63:1 87:1 118:1 121:1 156:1 180:1 -12.738546958825244459490022563841 20:1 38:1 60:1 64:1 100:1 113:1 136:1 155:1 180:1 --80 8:1 34:1 53:1 76:1 98:1 116:1 128:1 144:1 161:1 --77.643859839060780814179452136159 1:1 34:1 57:1 79:1 96:1 112:1 128:1 160:1 163:1 --80 6:1 34:1 49:1 70:1 90:1 105:1 130:1 157:1 175:1 -80 16:1 25:1 52:1 62:1 86:1 106:1 124:1 145:1 165:1 -80 1:1 31:1 49:1 66:1 90:1 113:1 128:1 155:1 180:1 -80 10:1 24:1 49:1 61:1 95:1 106:1 136:1 157:1 180:1 --80 6:1 24:1 60:1 66:1 86:1 103:1 136:1 143:1 180:1 --80 10:1 35:1 41:1 65:1 86:1 115:1 134:1 153:1 180:1 --80 16:1 25:1 49:1 75:1 86:1 103:1 138:1 148:1 180:1 -80 8:1 34:1 49:1 64:1 96:1 117:1 130:1 147:1 170:1 -80 6:1 34:1 46:1 66:1 96:1 113:1 137:1 141:1 171:1 -27.013547462826004164071491686627 1:1 34:1 53:1 66:1 85:1 105:1 123:1 155:1 165:1 --67.400609051707291996535786893219 15:1 34:1 56:1 67:1 95:1 109:1 129:1 158:1 170:1 --79.845024027309335679092328064144 6:1 30:1 49:1 73:1 87:1 113:1 132:1 152:1 166:1 -1.4292192206373299789845532359323 17:1 30:1 48:1 63:1 88:1 111:1 137:1 155:1 165:1 -64.314562648732305660814745351672 1:1 21:1 45:1 73:1 86:1 101:1 136:1 150:1 180:1 -80 9:1 28:1 49:1 76:1 85:1 118:1 129:1 158:1 180:1 -22.995854168362672709235994261689 16:1 38:1 49:1 69:1 83:1 110:1 128:1 156:1 180:1 --57.530650265785304497967445058748 13:1 34:1 53:1 61:1 83:1 118:1 135:1 150:1 171:1 --80 17:1 24:1 54:1 78:1 96:1 116:1 133:1 158:1 180:1 --80 4:1 21:1 56:1 69:1 85:1 118:1 124:1 144:1 180:1 -80 18:1 26:1 60:1 78:1 83:1 103:1 137:1 154:1 165:1 -80 15:1 30:1 54:1 64:1 81:1 110:1 132:1 150:1 165:1 -32.320512233289818482262489851564 5:1 30:1 53:1 67:1 91:1 101:1 140:1 157:1 180:1 --80 10:1 28:1 45:1 64:1 88:1 110:1 134:1 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--0.0033035534937190004500795481590103 1:1 24:1 54:1 74:1 96:1 115:1 130:1 153:1 170:1 -0.0080353500377582237623741434617841 6:1 35:1 45:1 76:1 86:1 110:1 130:1 146:1 175:1 --0.0041206484032305541742591259435358 17:1 29:1 56:1 80:1 84:1 112:1 130:1 141:1 161:1 --0.0025085973633428432227887583394477 3:1 30:1 50:1 78:1 94:1 114:1 127:1 145:1 175:1 --0.0016710059471637169620228391409 13:1 30:1 52:1 79:1 89:1 120:1 135:1 149:1 161:1 diff --git a/Fred2/Data/svms/svmhc/B_3501_9 b/Fred2/Data/svms/svmhc/B_3501_9 deleted file mode 100755 index 7428999e..00000000 --- a/Fred2/Data/svms/svmhc/B_3501_9 +++ /dev/null @@ -1,52 +0,0 @@ -SVM-light Version V6.02 -0 # kernel type -3 # kernel parameter -d -0.54 # kernel parameter -g -1 # kernel parameter -s -1 # kernel parameter -r -empty # kernel parameter -u -180 # highest feature index -51 # number of training documents -42 # number of support vectors plus 1 -0.70847828 # threshold b --0.045609306866393257984260145576627 19:1 35:1 46:1 69:1 95:1 106:1 125:1 154:1 170:1 --0.062045441792791665436279657797058 9:1 37:1 60:1 70:1 81:1 101:1 126:1 157:1 165:1 --0.18959185652519094933410315206856 5:1 33:1 53:1 66:1 90:1 120:1 122:1 149:1 177:1 --0.016359978749111957208040024625006 16:1 24:1 46:1 74:1 90:1 104:1 123:1 156:1 176:1 --0.10612653395954742274742699237322 7:1 26:1 60:1 68:1 84:1 104:1 121:1 142:1 168:1 -0.083016632332955156425846610090957 16:1 33:1 41:1 68:1 85:1 114:1 136:1 156:1 171:1 --0.04907324997119775350506998279343 10:1 31:1 58:1 70:1 89:1 114:1 130:1 146:1 168:1 -0.098385107947917951887184528914077 8:1 33:1 50:1 77:1 84:1 104:1 121:1 144:1 170:1 -0.0967086780407066526343839996116 7:1 33:1 52:1 68:1 84:1 104:1 138:1 141:1 170:1 -0.076693631747909885021385889558587 15:1 33:1 55:1 67:1 94:1 106:1 138:1 151:1 178:1 --0.071951298668448390727370167496701 13:1 29:1 41:1 68:1 95:1 116:1 138:1 144:1 162:1 --0.019708597946066542389020881387296 1:1 24:1 52:1 75:1 83:1 115:1 138:1 141:1 175:1 --0.05011261408138058953687377083952 10:1 34:1 55:1 75:1 93:1 110:1 138:1 158:1 175:1 --0.14316076867184360232876372265309 3:1 33:1 44:1 64:1 95:1 113:1 137:1 145:1 164:1 --0.090554713316063337180672476733889 16:1 25:1 46:1 76:1 81:1 114:1 134:1 141:1 170:1 -0.074784377616729708071474647113064 4:1 38:1 43:1 73:1 88:1 106:1 127:1 150:1 180:1 -0.22339750291896989797812977940339 17:1 21:1 58:1 73:1 99:1 112:1 121:1 156:1 179:1 -0.23999999999999999111821580299875 33:1 53:1 64:1 95:1 108:1 128:1 149:1 180:1 -0.047725733024993013953185538866819 4:1 33:1 48:1 78:1 86:1 101:1 124:1 157:1 165:1 --0.1313069891289420643154528534069 12:1 21:1 48:1 77:1 83:1 110:1 128:1 156:1 164:1 --0.08371964907942398836926400917946 8:1 30:1 58:1 75:1 89:1 118:1 121:1 146:1 174:1 --0.1128611027149938467184497881135 1:1 36:1 53:1 72:1 91:1 116:1 121:1 156:1 161:1 --0.064335501446416434867536793262843 9:1 38:1 50:1 67:1 91:1 116:1 130:1 152:1 173:1 --0.017618300156264872502465124171067 11:1 24:1 53:1 64:1 84:1 117:1 129:1 149:1 163:1 -0.15112768627445830049715880250005 5:1 33:1 58:1 75:1 93:1 114:1 138:1 153:1 170:1 -0.23832006232461466765926161315292 1:1 38:1 50:1 70:1 87:1 104:1 124:1 156:1 171:1 -0.16136986682033702122929241795646 1:1 33:1 55:1 77:1 98:1 101:1 130:1 157:1 161:1 -0.05898798698790713029849186455067 17:1 33:1 44:1 66:1 88:1 108:1 133:1 157:1 170:1 --0.097429831344237605161850979129667 14:1 26:1 50:1 73:1 83:1 104:1 124:1 154:1 164:1 --0.10789856656767207732094959737879 1:1 24:1 49:1 74:1 87:1 107:1 129:1 143:1 170:1 --0.067180524273574751537019267288997 17:1 37:1 55:1 76:1 85:1 102:1 123:1 150:1 177:1 --0.070766718772196673947760814371577 2:1 21:1 58:1 70:1 96:1 107:1 135:1 155:1 175:1 -0.056942870564632840080232512036673 8:1 33:1 56:1 68:1 92:1 118:1 127:1 147:1 180:1 -0.051440107591315863133640817750347 4:1 21:1 43:1 73:1 97:1 106:1 127:1 156:1 180:1 -0.1126968118972201671201815997847 15:1 33:1 48:1 78:1 96:1 117:1 134:1 150:1 170:1 --0.042219469846838990345627706801679 8:1 35:1 44:1 64:1 100:1 114:1 132:1 150:1 166:1 --0.048043904369462139825053270669741 4:1 35:1 50:1 78:1 98:1 110:1 126:1 148:1 175:1 --0.049185290428426849118626051904357 1:1 30:1 46:1 64:1 93:1 103:1 133:1 149:1 161:1 --0.023175510430831210845203926851354 13:1 35:1 50:1 65:1 90:1 106:1 130:1 144:1 161:1 --0.026959739840711646058357686683848 17:1 31:1 44:1 68:1 95:1 106:1 135:1 149:1 175:1 -0.015398402857360354856197659501049 12:1 33:1 43:1 68:1 98:1 108:1 140:1 154:1 180:1 diff --git a/Fred2/Data/svms/svmhc/B_3701_9 b/Fred2/Data/svms/svmhc/B_3701_9 deleted file mode 100755 index d566c12d..00000000 --- a/Fred2/Data/svms/svmhc/B_3701_9 +++ /dev/null @@ -1,63 +0,0 @@ -SVM-light Version V6.02 -0 # kernel type -3 # kernel parameter -d -0.42 # kernel parameter -g -1 # kernel parameter -s -1 # kernel parameter -r -empty # kernel parameter -u -180 # highest feature index -69 # number of training documents -53 # number of support vectors plus 1 -0.82757418 # threshold b --0.071850760085366324747546684648114 7:1 26:1 46:1 76:1 95:1 114:1 130:1 157:1 164:1 --0.01290439535010804404657758226449 19:1 33:1 49:1 73:1 92:1 108:1 137:1 156:1 176:1 --0.078499022936058607258225094938098 17:1 26:1 50:1 80:1 84:1 104:1 136:1 147:1 166:1 --0.080118608200828625443001840267243 8:1 38:1 54:1 78:1 90:1 108:1 136:1 153:1 176:1 --0.078446060627063191050822865690861 5:1 36:1 55:1 75:1 96:1 110:1 124:1 150:1 163:1 -0.054141136404418060967813630668388 7:1 23:1 45:1 70:1 89:1 120:1 123:1 145:1 165:1 -0.10542298494752527782125639532751 14:1 23:1 50:1 72:1 95:1 108:1 125:1 153:1 170:1 -0.030891794939275372955389542539706 16:1 24:1 50:1 68:1 95:1 112:1 138:1 157:1 170:1 -0.035716452954060944058323201488747 1:1 24:1 50:1 64:1 95:1 101:1 121:1 141:1 170:1 -0.07600394218733259876774610575012 5:1 24:1 50:1 74:1 95:1 112:1 125:1 154:1 170:1 --0.098024212794205423104898500241688 9:1 37:1 50:1 74:1 89:1 109:1 122:1 160:1 170:1 --0.19883601094637970430056839177269 15:1 34:1 49:1 70:1 95:1 108:1 125:1 160:1 174:1 --0.18622473201679820564713452313299 3:1 24:1 50:1 70:1 96:1 109:1 134:1 148:1 166:1 --0.15382428284172139365537645971926 7:1 23:1 60:1 64:1 87:1 117:1 126:1 157:1 177:1 --0.054386166999683356604311512683125 13:1 28:1 50:1 70:1 81:1 110:1 138:1 141:1 166:1 -0.23999999999999999111821580299875 17:1 34:1 46:1 80:1 85:1 113:1 123:1 159:1 174:1 -0.19391757168512549491801166823279 15:1 24:1 57:1 72:1 90:1 103:1 136:1 150:1 173:1 -0.23999999999999999111821580299875 15:1 24:1 53:1 78:1 97:1 109:1 121:1 144:1 171:1 -0.13585374137233530156265715049813 9:1 24:1 52:1 73:1 90:1 114:1 125:1 149:1 165:1 -0.18188301676317050747933024013037 4:1 23:1 50:1 75:1 98:1 110:1 136:1 145:1 168:1 --0.18553530554892241899445082253806 16:1 32:1 53:1 73:1 83:1 113:1 123:1 144:1 173:1 --0.097287228542186368618338576652604 14:1 34:1 46:1 76:1 98:1 113:1 121:1 153:1 170:1 --0.11015888169308798993917264397169 20:1 34:1 56:1 72:1 97:1 101:1 136:1 141:1 178:1 --0.02274763937290869356133704570766 15:1 35:1 55:1 64:1 88:1 115:1 121:1 144:1 163:1 --0.027533713908002906828320632826035 20:1 25:1 55:1 64:1 90:1 113:1 132:1 153:1 170:1 -0.017458367043794165152093000870082 17:1 24:1 50:1 70:1 95:1 120:1 140:1 151:1 170:1 -0.1538042448593738842355094220693 1:1 23:1 56:1 70:1 95:1 110:1 134:1 154:1 170:1 -0.15942803769138547131944960710825 16:1 23:1 47:1 68:1 87:1 108:1 128:1 141:1 170:1 -0.10683501135057325848176645877174 7:1 23:1 45:1 73:1 95:1 101:1 130:1 148:1 165:1 -0.15202500322514045372201962891268 1:1 23:1 58:1 70:1 89:1 118:1 124:1 158:1 165:1 --0.10845304059835336740746924988343 6:1 23:1 44:1 68:1 82:1 110:1 135:1 160:1 169:1 --0.071278514578647006461054047576908 6:1 38:1 48:1 69:1 97:1 118:1 140:1 152:1 170:1 --0.10810004555702393269633887484815 1:1 35:1 58:1 74:1 98:1 119:1 125:1 154:1 172:1 --0.048947490211679427207780435082896 3:1 29:1 44:1 72:1 91:1 116:1 135:1 158:1 170:1 --0.029207605162511002250269598334853 1:1 33:1 46:1 66:1 86:1 106:1 129:1 155:1 180:1 -0.094475111151713142554342539369827 18:1 24:1 50:1 73:1 87:1 108:1 132:1 150:1 170:1 -0.061853028606533133615386077508447 15:1 24:1 50:1 73:1 81:1 119:1 138:1 156:1 165:1 --0.045636489407290328768063147890643 9:1 29:1 45:1 61:1 94:1 109:1 131:1 150:1 174:1 --0.053951597544381633964061251163002 9:1 25:1 56:1 73:1 84:1 101:1 121:1 156:1 175:1 --0.0058654330329150263650950236637982 14:1 30:1 58:1 78:1 96:1 109:1 124:1 150:1 175:1 -0.021380455033747282345135687364746 14:1 23:1 58:1 61:1 95:1 118:1 130:1 146:1 165:1 --0.029369161526271087003792104042077 20:1 38:1 57:1 78:1 90:1 104:1 126:1 145:1 176:1 --0.035685641577185456263521246000892 1:1 39:1 58:1 73:1 86:1 113:1 133:1 153:1 180:1 --0.042542860159232753769487089812174 14:1 29:1 53:1 77:1 81:1 118:1 132:1 146:1 162:1 -0.027793025024890703061908325821605 10:1 23:1 50:1 74:1 95:1 112:1 140:1 148:1 165:1 --0.041115690563072911090092276253927 18:1 30:1 46:1 66:1 85:1 105:1 140:1 148:1 175:1 -0.060054172324363629120735907918061 16:1 23:1 50:1 64:1 95:1 118:1 137:1 156:1 170:1 --0.032928157315953679451503433028847 15:1 38:1 50:1 64:1 90:1 104:1 133:1 152:1 172:1 -0.012951772058455209707394928386748 20:1 23:1 50:1 70:1 95:1 112:1 137:1 152:1 165:1 --0.01465712877785627261950640587429 13:1 26:1 57:1 69:1 98:1 120:1 124:1 158:1 178:1 --0.031772758186126341672927964054907 13:1 34:1 50:1 74:1 94:1 118:1 137:1 156:1 173:1 --0.0060002335613922944124176694913331 4:1 26:1 42:1 66:1 93:1 106:1 135:1 154:1 161:1 diff --git a/Fred2/Data/svms/svmhc/B_5101_8 b/Fred2/Data/svms/svmhc/B_5101_8 deleted file mode 100755 index a125a705..00000000 --- a/Fred2/Data/svms/svmhc/B_5101_8 +++ /dev/null @@ -1,44 +0,0 @@ -SVM-light Version V6.02 -0 # kernel type -3 # kernel parameter -d -0.86 # kernel parameter -g -1 # kernel parameter -s -1 # kernel parameter -r -empty # kernel parameter -u -160 # highest feature index -48 # number of training documents -34 # number of support vectors plus 1 -0.75476123 # threshold b --0.010408808207952780292004923978766 19:1 36:1 52:1 68:1 100:1 103:1 130:1 158:1 --0.073561360431633610046375792990148 17:1 26:1 56:1 68:1 98:1 102:1 126:1 160:1 --0.088147462527517331243309683941334 13:1 32:1 49:1 75:1 89:1 110:1 131:1 148:1 --0.064938686607370441072895062006864 1:1 23:1 50:1 66:1 81:1 111:1 138:1 158:1 --0.028343848255822260556735514569482 1:1 25:1 57:1 61:1 89:1 117:1 136:1 142:1 -0.050527430527671092497232763207649 20:1 33:1 45:1 69:1 93:1 113:1 129:1 158:1 -0.0018838636642148839928090353623702 17:1 21:1 45:1 77:1 88:1 113:1 136:1 148:1 -0.20493334987609546082865108473925 8:1 33:1 53:1 67:1 98:1 118:1 129:1 158:1 -0.18315364506083700590899354665453 20:1 33:1 50:1 70:1 88:1 116:1 135:1 148:1 --0.15182344254887047974023062124616 6:1 33:1 43:1 63:1 90:1 114:1 135:1 150:1 --0.10434113197665306760342218694859 13:1 36:1 43:1 70:1 93:1 118:1 129:1 141:1 --0.19003722460951841255472061220644 5:1 33:1 54:1 62:1 90:1 110:1 130:1 158:1 --0.018115515138467826183887865454381 20:1 38:1 50:1 69:1 90:1 120:1 123:1 149:1 --0.036643442004233924003120392853816 1:1 31:1 56:1 76:1 94:1 118:1 138:1 146:1 -0.12867161162019785658472414979769 3:1 21:1 58:1 78:1 89:1 107:1 138:1 150:1 -0.21464647483726254084679396783031 3:1 21:1 60:1 65:1 96:1 118:1 133:1 150:1 -0.14867841826655134318535544935003 3:1 21:1 53:1 61:1 87:1 107:1 130:1 145:1 --0.049978975167964151404831341096724 15:1 30:1 53:1 77:1 89:1 115:1 129:1 141:1 --0.030806865803075064030869256725964 10:1 35:1 48:1 68:1 85:1 109:1 121:1 151:1 --0.065307327640470716478837687191117 2:1 21:1 58:1 62:1 95:1 103:1 126:1 146:1 --0.1489620440114043098400742337617 10:1 38:1 45:1 76:1 92:1 118:1 132:1 150:1 --0.051879082099497320079706241813255 9:1 21:1 50:1 75:1 94:1 115:1 130:1 146:1 --0.041967655817742997859109976843683 1:1 37:1 53:1 66:1 92:1 116:1 138:1 146:1 --0.074592388568049339259147245684289 8:1 40:1 50:1 80:1 97:1 101:1 124:1 150:1 -0.16636426867128578654941861714178 17:1 33:1 58:1 75:1 90:1 113:1 136:1 148:1 -0.23999999999999999111821580299875 10:1 33:1 45:1 76:1 93:1 110:1 138:1 148:1 -0.091374750691204931207778372481698 18:1 33:1 60:1 64:1 93:1 113:1 124:1 158:1 -0.11320187453339715377698126985706 8:1 33:1 51:1 68:1 88:1 107:1 134:1 150:1 --0.063311316634955788762439965466911 4:1 30:1 41:1 73:1 93:1 101:1 133:1 153:1 --0.055319746858638732533997028895101 8:1 34:1 51:1 73:1 95:1 108:1 121:1 155:1 --0.063521939562953322333527239607065 10:1 27:1 49:1 74:1 92:1 110:1 124:1 148:1 --0.080075739390405173412368355911894 9:1 28:1 42:1 61:1 96:1 112:1 135:1 150:1 --0.051351683885520978123384594482559 1:1 24:1 41:1 65:1 89:1 116:1 129:1 149:1 diff --git a/Fred2/Data/svms/svmhc/B_5101_9 b/Fred2/Data/svms/svmhc/B_5101_9 deleted file mode 100755 index 866df28e..00000000 --- a/Fred2/Data/svms/svmhc/B_5101_9 +++ /dev/null @@ -1,69 +0,0 @@ -SVM-light Version V6.02 -2 # kernel type -3 # kernel parameter -d -0.001 # kernel parameter -g -1 # kernel parameter -s -1 # kernel parameter -r -empty # kernel parameter -u -180 # highest feature index -99 # number of training documents -59 # number of support vectors plus 1 -0.92797209 # threshold b -80 10:1 33:1 42:1 75:1 88:1 109:1 134:1 148:1 168:1 --17.850167478213705862799542956054 13:1 23:1 44:1 68:1 92:1 108:1 124:1 148:1 170:1 --4.0046182046005496246721122588497 12:1 26:1 58:1 73:1 84:1 104:1 132:1 150:1 173:1 --15.434524459091710113511908275541 20:1 38:1 55:1 74:1 86:1 110:1 122:1 159:1 170:1 --34.115143306645144605226960266009 6:1 25:1 56:1 78:1 98:1 101:1 123:1 157:1 173:1 -58.453305589620661919525446137413 18:1 33:1 50:1 63:1 89:1 114:1 128:1 157:1 168:1 -0.18014421106891154167328750190791 3:1 21:1 50:1 70:1 89:1 105:1 136:1 147:1 168:1 -14.300033346707012427145855326671 3:1 33:1 60:1 69:1 98:1 120:1 135:1 148:1 178:1 -55.723665499730152816937334137037 10:1 33:1 52:1 61:1 98:1 108:1 137:1 155:1 168:1 -72.933681487234991891455138102174 3:1 21:1 60:1 78:1 90:1 113:1 129:1 150:1 180:1 --80 3:1 21:1 54:1 80:1 89:1 108:1 128:1 157:1 169:1 --80 3:1 21:1 51:1 76:1 96:1 114:1 134:1 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49:1 74:1 93:1 110:1 124:1 141:1 161:1 diff --git a/Fred2/Data/svms/svmtap/svmtap_9 b/Fred2/Data/svms/svmtap/svmtap_9 deleted file mode 100755 index 771dc4dc..00000000 --- a/Fred2/Data/svms/svmtap/svmtap_9 +++ /dev/null @@ -1,442 +0,0 @@ -SVM-light Version V6.02 -0 # kernel type -3 # kernel parameter -d -1 # kernel parameter -g -1 # kernel parameter -s -1 # kernel parameter -r -empty# kernel parameter -u -180 # highest feature index -892 # number of training documents -432 # number of support vectors plus 1 -38.403888 # threshold b, each following line is a SV (starting with alpha*y) --14 15:1 35:1 45:1 66:1 83:1 109:1 130:1 152:1 165:1 --14 12:1 29:1 41:1 63:1 98:1 108:1 130:1 149:1 180:1 --14 6:1 21:1 48:1 63:1 89:1 113:1 128:1 150:1 169:1 --14 9:1 35:1 45:1 76:1 85:1 109:1 129:1 156:1 165:1 --14 15:1 26:1 60:1 75:1 93:1 115:1 125:1 155:1 175:1 -22.400000000000002131628207280301 1:1 30:1 46:1 68:1 86:1 117:1 123:1 156:1 178:1 -22.400000000000002131628207280301 1:1 30:1 50:1 78:1 95:1 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1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.061 12:-0.1165 13:0.194125 14:-0.075125 15:-0.081875 16:0.060444444 17:-0.039222222 18:-0.062777778 19:-0.074333333 20:0.0021111111 21:-0.046769231 22:-0.076692308 23:0.04 24:-0.070692308 25:-0.061230769 26:0.028727273 27:-0.15118182 28:-0.0093636364 29:-0.029818182 30:-0.047272727 31:-0.072384615 32:-0.096692308 33:-0.0055384615 34:-0.032923077 35:-0.027923077 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1142 42:-0.0319 43:0.0817 44:-0.1016 45:-0.1018 46:-0.353 47:0.071 48:-0.088 49:-0.195 50:-0.107 51:0.068 52:0.147 53:-0.015 54:-0.132 55:-0.274 56:-0.141 57:-0.057 58:0.425 59:-0.096 60:-0.091 61:0.149 62:-0.184 63:-0.03 64:0.035 65:-0.112 66:-0.267 67:0.018 68:-0.265 69:-0.274 70:0.206 71:-0.267 72:0.018 73:-0.265 74:-0.274 75:0.206 76:-0.329 77:-0.023 78:0.072 79:-0.002 80:0.208 81:-0.267 82:0.018 83:-0.265 84:-0.274 85:0.206 86:-0.274 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33:0.038769231 34:-0.011461538 35:0.017923077 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1135 42:-0.0437 43:0.0739 44:-0.1094 45:-0.0513 46:-0.353 47:0.071 48:-0.088 49:-0.195 50:-0.107 51:-0.274 52:0.136 53:-0.187 54:-0.196 55:-0.299 56:0.008 57:0.134 58:-0.475 59:-0.039 60:0.181 61:0.068 62:0.147 63:-0.015 64:-0.132 65:-0.274 66:0.221 67:-0.28 68:-0.315 69:0.157 70:0.303 71:0.255 72:0.038 73:0.117 74:0.118 75:-0.055 76:0.255 77:0.038 78:0.117 79:0.118 80:-0.055 81:0.008 82:0.134 83:-0.475 84:-0.039 85:0.181 86:-0.267 87:0.018 88:-0.265 89:-0.274 90:0.206 --61.93690500561689 1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.064625 12:-0.142 13:0.275875 14:-0.0305 15:-0.0705 16:0.057222222 17:-0.061888889 18:0.0098888889 19:-0.034666667 20:0.012222222 21:-0.049 22:-0.092384615 23:0.090307692 24:-0.043230769 25:-0.054230769 26:0.026090909 27:-0.16972727 28:0.050090909 29:0.0026363636 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18:0.0098888889 19:-0.034666667 20:0.012222222 21:-0.049 22:-0.092384615 23:0.090307692 24:-0.043230769 25:-0.054230769 26:0.026090909 27:-0.16972727 28:0.050090909 29:0.0026363636 30:-0.039 31:-0.074076923 32:-0.12146154 33:0.038769231 34:-0.011461538 35:0.017923077 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1135 42:-0.0437 43:0.0739 44:-0.1094 45:-0.0513 46:-0.267 47:0.018 48:-0.265 49:-0.274 50:0.206 51:-0.353 52:0.071 53:-0.088 54:-0.195 55:-0.107 56:-0.296 57:-0.186 58:0.389 59:0.083 60:0.297 61:-0.353 62:0.071 63:-0.088 64:-0.195 65:-0.107 66:0.218 67:0.562 68:-0.024 69:0.018 70:0.106 71:0.255 72:0.038 73:0.117 74:0.118 75:-0.055 76:0.255 77:0.038 78:0.117 79:0.118 80:-0.055 81:-0.267 82:0.018 83:-0.265 84:-0.274 85:0.206 86:-0.329 87:-0.023 88:0.072 89:-0.002 90:0.208 --40.56629937483603 1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.064625 12:-0.142 13:0.275875 14:-0.0305 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49:0.018 50:0.106 51:0.008 52:0.134 53:-0.475 54:-0.039 55:0.181 56:0.243 57:-0.339 58:-0.044 59:-0.325 60:-0.027 61:0.221 62:-0.28 63:-0.315 64:0.157 65:0.303 66:-0.353 67:0.071 68:-0.088 69:-0.195 70:-0.107 71:0.068 72:0.147 73:-0.015 74:-0.132 75:-0.274 76:-0.329 77:-0.023 78:0.072 79:-0.002 80:0.208 81:-0.353 82:0.071 83:-0.088 84:-0.195 85:-0.107 86:0.243 87:-0.339 88:-0.044 89:-0.325 90:-0.027 --31.79660961509849 1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.064625 12:-0.142 13:0.275875 14:-0.0305 15:-0.0705 16:0.057222222 17:-0.061888889 18:0.0098888889 19:-0.034666667 20:0.012222222 21:-0.049 22:-0.092384615 23:0.090307692 24:-0.043230769 25:-0.054230769 26:0.026090909 27:-0.16972727 28:0.050090909 29:0.0026363636 30:-0.039 31:-0.074076923 32:-0.12146154 33:0.038769231 34:-0.011461538 35:0.017923077 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1135 42:-0.0437 43:0.0739 44:-0.1094 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42:-0.0437 43:0.0739 44:-0.1094 45:-0.0513 46:0.303 47:-0.057 48:-0.014 49:0.225 50:0.156 51:-0.274 52:0.136 53:-0.187 54:-0.196 55:-0.299 56:0.008 57:0.134 58:-0.475 59:-0.039 60:0.181 61:0.173 62:0.286 63:0.407 64:-0.215 65:0.384 66:0.218 67:0.562 68:-0.024 69:0.018 70:0.106 71:-0.239 72:-0.141 73:-0.155 74:0.321 75:0.077 76:0.221 77:-0.28 78:-0.315 79:0.157 80:0.303 81:0.008 82:0.134 83:-0.475 84:-0.039 85:0.181 86:-0.267 87:0.018 88:-0.265 89:-0.274 90:0.206 --116.6300990082426 1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.064625 12:-0.142 13:0.275875 14:-0.0305 15:-0.0705 16:0.057222222 17:-0.061888889 18:0.0098888889 19:-0.034666667 20:0.012222222 21:-0.049 22:-0.092384615 23:0.090307692 24:-0.043230769 25:-0.054230769 26:0.026090909 27:-0.16972727 28:0.050090909 29:0.0026363636 30:-0.039 31:-0.074076923 32:-0.12146154 33:0.038769231 34:-0.011461538 35:0.017923077 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1135 42:-0.0437 43:0.0739 44:-0.1094 45:-0.0513 46:0.221 47:-0.28 48:-0.315 49:0.157 50:0.303 51:-0.353 52:0.071 53:-0.088 54:-0.195 55:-0.107 56:-0.141 57:-0.057 58:0.425 59:-0.096 60:-0.091 61:0.218 62:0.562 63:-0.024 64:0.018 65:0.106 66:-0.274 67:0.136 68:-0.187 69:-0.196 70:-0.299 71:0.199 72:0.238 73:-0.015 74:-0.068 75:-0.196 76:0.068 77:0.147 78:-0.015 79:-0.132 80:-0.274 81:0.199 82:0.238 83:-0.015 84:-0.068 85:-0.196 86:0.008 87:0.134 88:-0.475 89:-0.039 90:0.181 --25.60314325303769 1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.064625 12:-0.142 13:0.275875 14:-0.0305 15:-0.0705 16:0.057222222 17:-0.061888889 18:0.0098888889 19:-0.034666667 20:0.012222222 21:-0.049 22:-0.092384615 23:0.090307692 24:-0.043230769 25:-0.054230769 26:0.026090909 27:-0.16972727 28:0.050090909 29:0.0026363636 30:-0.039 31:-0.074076923 32:-0.12146154 33:0.038769231 34:-0.011461538 35:0.017923077 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1135 42:-0.0437 43:0.0739 44:-0.1094 45:-0.0513 46:-0.329 47:-0.023 48:0.072 49:-0.002 50:0.208 51:-0.141 52:-0.057 53:0.425 54:-0.096 55:-0.091 56:-0.274 57:0.136 58:-0.187 59:-0.196 60:-0.299 61:0.171 62:-0.361 63:0.107 64:-0.258 65:-0.364 66:0.243 67:-0.339 68:-0.044 69:-0.325 70:-0.027 71:0.008 72:0.134 73:-0.475 74:-0.039 75:0.181 76:-0.267 77:0.018 78:-0.265 79:-0.274 80:0.206 81:0.218 82:0.562 83:-0.024 84:0.018 85:0.106 86:-0.267 87:0.018 88:-0.265 89:-0.274 90:0.206 --19.08899253946886 1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.064625 12:-0.142 13:0.275875 14:-0.0305 15:-0.0705 16:0.057222222 17:-0.061888889 18:0.0098888889 19:-0.034666667 20:0.012222222 21:-0.049 22:-0.092384615 23:0.090307692 24:-0.043230769 25:-0.054230769 26:0.026090909 27:-0.16972727 28:0.050090909 29:0.0026363636 30:-0.039 31:-0.074076923 32:-0.12146154 33:0.038769231 34:-0.011461538 35:0.017923077 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1135 42:-0.0437 43:0.0739 44:-0.1094 45:-0.0513 46:-0.132 47:0.174 48:0.07 49:0.565 50:-0.374 51:-0.267 52:0.018 53:-0.265 54:-0.274 55:0.206 56:0.171 57:-0.361 58:0.107 59:-0.258 60:-0.364 61:0.218 62:0.562 63:-0.024 64:0.018 65:0.106 66:0.173 67:0.286 68:0.407 69:-0.215 70:0.384 71:0.255 72:0.038 73:0.117 74:0.118 75:-0.055 76:0.255 77:0.038 78:0.117 79:0.118 80:-0.055 81:0.008 82:0.134 83:-0.475 84:-0.039 85:0.181 86:-0.267 87:0.018 88:-0.265 89:-0.274 90:0.206 --44.73162925753162 1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.064625 12:-0.142 13:0.275875 14:-0.0305 15:-0.0705 16:0.057222222 17:-0.061888889 18:0.0098888889 19:-0.034666667 20:0.012222222 21:-0.049 22:-0.092384615 23:0.090307692 24:-0.043230769 25:-0.054230769 26:0.026090909 27:-0.16972727 28:0.050090909 29:0.0026363636 30:-0.039 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21:-0.049 22:-0.092384615 23:0.090307692 24:-0.043230769 25:-0.054230769 26:0.026090909 27:-0.16972727 28:0.050090909 29:0.0026363636 30:-0.039 31:-0.074076923 32:-0.12146154 33:0.038769231 34:-0.011461538 35:0.017923077 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1135 42:-0.0437 43:0.0739 44:-0.1094 45:-0.0513 46:-0.239 47:-0.141 48:-0.155 49:0.321 50:0.077 51:-0.267 52:0.018 53:-0.265 54:-0.274 55:0.206 56:-0.274 57:0.136 58:-0.187 59:-0.196 60:-0.299 61:0.199 62:0.238 63:-0.015 64:-0.068 65:-0.196 66:0.221 67:-0.28 68:-0.315 69:0.157 70:0.303 71:-0.267 72:0.018 73:-0.265 74:-0.274 75:0.206 76:0.218 77:0.562 78:-0.024 79:0.018 80:0.106 81:0.008 82:0.134 83:-0.475 84:-0.039 85:0.181 86:-0.274 87:0.136 88:-0.187 89:-0.196 90:-0.299 --26.52370556177622 1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.064625 12:-0.142 13:0.275875 14:-0.0305 15:-0.0705 16:0.057222222 17:-0.061888889 18:0.0098888889 19:-0.034666667 20:0.012222222 21:-0.049 22:-0.092384615 23:0.090307692 24:-0.043230769 25:-0.054230769 26:0.026090909 27:-0.16972727 28:0.050090909 29:0.0026363636 30:-0.039 31:-0.074076923 32:-0.12146154 33:0.038769231 34:-0.011461538 35:0.017923077 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1135 42:-0.0437 43:0.0739 44:-0.1094 45:-0.0513 46:0.199 47:0.238 48:-0.015 49:-0.068 50:-0.196 51:0.008 52:0.134 53:-0.475 54:-0.039 55:0.181 56:0.218 57:0.562 58:-0.024 59:0.018 60:0.106 61:0.008 62:0.134 63:-0.475 64:-0.039 65:0.181 66:0.221 67:-0.28 68:-0.315 69:0.157 70:0.303 71:-0.274 72:0.136 73:-0.187 74:-0.196 75:-0.299 76:-0.329 77:-0.023 78:0.072 79:-0.002 80:0.208 81:0.303 82:-0.057 83:-0.014 84:0.225 85:0.156 86:0.008 87:0.134 88:-0.475 89:-0.039 90:0.181 --11.62107360796848 1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.064625 12:-0.142 13:0.275875 14:-0.0305 15:-0.0705 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35:0.025384615 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1142 42:-0.0319 43:0.0817 44:-0.1016 45:-0.1018 46:0.243 47:-0.339 48:-0.044 49:-0.325 50:-0.027 51:0.008 52:0.134 53:-0.475 54:-0.039 55:0.181 56:-0.329 57:-0.023 58:0.072 59:-0.002 60:0.208 61:0.068 62:0.147 63:-0.015 64:-0.132 65:-0.274 66:0.255 67:0.038 68:0.117 69:0.118 70:-0.055 71:0.218 72:0.562 73:-0.024 74:0.018 75:0.106 76:0.068 77:0.147 78:-0.015 79:-0.132 80:-0.274 81:-0.274 82:0.136 83:-0.187 84:-0.196 85:-0.299 86:0.068 87:0.147 88:-0.015 89:-0.132 90:-0.274 --31.54261401308845 1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.064625 12:-0.142 13:0.275875 14:-0.0305 15:-0.0705 16:0.057222222 17:-0.061888889 18:0.0098888889 19:-0.034666667 20:0.012222222 21:-0.010923077 22:-0.12438462 23:0.080461538 24:-0.016076923 25:-0.0079230769 26:0.026090909 27:-0.16972727 28:0.050090909 29:0.0026363636 30:-0.039 31:-0.036538462 32:-0.14438462 33:0.034923077 34:0.021692308 35:0.025384615 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1142 42:-0.0319 43:0.0817 44:-0.1016 45:-0.1018 46:0.255 47:0.038 48:0.117 49:0.118 50:-0.055 51:-0.274 52:0.136 53:-0.187 54:-0.196 55:-0.299 56:0.221 57:-0.28 58:-0.315 59:0.157 60:0.303 61:0.173 62:0.286 63:0.407 64:-0.215 65:0.384 66:0.008 67:0.134 68:-0.475 69:-0.039 70:0.181 71:-0.353 72:0.071 73:-0.088 74:-0.195 75:-0.107 76:-0.296 77:-0.186 78:0.389 79:0.083 80:0.297 81:-0.274 82:0.136 83:-0.187 84:-0.196 85:-0.299 86:-0.353 87:0.071 88:-0.088 89:-0.195 90:-0.107 --60.48856436411328 1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.064625 12:-0.142 13:0.275875 14:-0.0305 15:-0.0705 16:0.057222222 17:-0.061888889 18:0.0098888889 19:-0.034666667 20:0.012222222 21:-0.010923077 22:-0.12438462 23:0.080461538 24:-0.016076923 25:-0.0079230769 26:0.026090909 27:-0.16972727 28:0.050090909 29:0.0026363636 30:-0.039 31:-0.036538462 32:-0.14438462 33:0.034923077 34:0.021692308 35:0.025384615 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1142 42:-0.0319 43:0.0817 44:-0.1016 45:-0.1018 46:0.068 47:0.147 48:-0.015 49:-0.132 50:-0.274 51:-0.267 52:0.018 53:-0.265 54:-0.274 55:0.206 56:-0.267 57:0.018 58:-0.265 59:-0.274 60:0.206 61:0.149 62:-0.184 63:-0.03 64:0.035 65:-0.112 66:-0.239 67:-0.141 68:-0.155 69:0.321 70:0.077 71:-0.239 72:-0.141 73:-0.155 74:0.321 75:0.077 76:0.171 77:-0.361 78:0.107 79:-0.258 80:-0.364 81:-0.267 82:0.018 83:-0.265 84:-0.274 85:0.206 86:-0.141 87:-0.057 88:0.425 89:-0.096 90:-0.091 --1.493168116412429 1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.064625 12:-0.142 13:0.275875 14:-0.0305 15:-0.0705 16:0.057222222 17:-0.061888889 18:0.0098888889 19:-0.034666667 20:0.012222222 21:-0.010923077 22:-0.12438462 23:0.080461538 24:-0.016076923 25:-0.0079230769 26:0.026090909 27:-0.16972727 28:0.050090909 29:0.0026363636 30:-0.039 31:-0.036538462 32:-0.14438462 33:0.034923077 34:0.021692308 35:0.025384615 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1142 42:-0.0319 43:0.0817 44:-0.1016 45:-0.1018 46:0.068 47:0.147 48:-0.015 49:-0.132 50:-0.274 51:0.068 52:0.147 53:-0.015 54:-0.132 55:-0.274 56:-0.353 57:0.071 58:-0.088 59:-0.195 60:-0.107 61:-0.132 62:0.174 63:0.07 64:0.565 65:-0.374 66:-0.353 67:0.071 68:-0.088 69:-0.195 70:-0.107 71:-0.267 72:0.018 73:-0.265 74:-0.274 75:0.206 76:0.221 77:-0.28 78:-0.315 79:0.157 80:0.303 81:0.149 82:-0.184 83:-0.03 84:0.035 85:-0.112 86:0.171 87:-0.361 88:0.107 89:-0.258 90:-0.364 --1.88448375746078 1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.064625 12:-0.142 13:0.275875 14:-0.0305 15:-0.0705 16:0.057222222 17:-0.061888889 18:0.0098888889 19:-0.034666667 20:0.012222222 21:-0.010923077 22:-0.12438462 23:0.080461538 24:-0.016076923 25:-0.0079230769 26:0.026090909 27:-0.16972727 28:0.050090909 29:0.0026363636 30:-0.039 31:-0.036538462 32:-0.14438462 33:0.034923077 34:0.021692308 35:0.025384615 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1142 42:-0.0319 43:0.0817 44:-0.1016 45:-0.1018 46:0.243 47:-0.339 48:-0.044 49:-0.325 50:-0.027 51:-0.274 52:0.136 53:-0.187 54:-0.196 55:-0.299 56:0.221 57:-0.28 58:-0.315 59:0.157 60:0.303 61:0.221 62:-0.28 63:-0.315 64:0.157 65:0.303 66:0.218 67:0.562 68:-0.024 69:0.018 70:0.106 71:-0.274 72:0.136 73:-0.187 74:-0.196 75:-0.299 76:-0.267 77:0.018 78:-0.265 79:-0.274 80:0.206 81:0.218 82:0.562 83:-0.024 84:0.018 85:0.106 86:-0.296 87:-0.186 88:0.389 89:0.083 90:0.297 --3.519306897302391 1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.064625 12:-0.142 13:0.275875 14:-0.0305 15:-0.0705 16:0.057222222 17:-0.061888889 18:0.0098888889 19:-0.034666667 20:0.012222222 21:-0.010923077 22:-0.12438462 23:0.080461538 24:-0.016076923 25:-0.0079230769 26:0.026090909 27:-0.16972727 28:0.050090909 29:0.0026363636 30:-0.039 31:-0.036538462 32:-0.14438462 33:0.034923077 34:0.021692308 35:0.025384615 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1142 42:-0.0319 43:0.0817 44:-0.1016 45:-0.1018 46:0.199 47:0.238 48:-0.015 49:-0.068 50:-0.196 51:0.068 52:0.147 53:-0.015 54:-0.132 55:-0.274 56:0.008 57:0.134 58:-0.475 59:-0.039 60:0.181 61:0.173 62:0.286 63:0.407 64:-0.215 65:0.384 66:-0.274 67:0.136 68:-0.187 69:-0.196 70:-0.299 71:0.303 72:-0.057 73:-0.014 74:0.225 75:0.156 76:-0.296 77:-0.186 78:0.389 79:0.083 80:0.297 81:0.149 82:-0.184 83:-0.03 84:0.035 85:-0.112 86:-0.329 87:-0.023 88:0.072 89:-0.002 90:0.208 --6.750619081379403 1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.064625 12:-0.142 13:0.275875 14:-0.0305 15:-0.0705 16:0.057222222 17:-0.061888889 18:0.0098888889 19:-0.034666667 20:0.012222222 21:-0.010923077 22:-0.12438462 23:0.080461538 24:-0.016076923 25:-0.0079230769 26:0.026090909 27:-0.16972727 28:0.050090909 29:0.0026363636 30:-0.039 31:-0.036538462 32:-0.14438462 33:0.034923077 34:0.021692308 35:0.025384615 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1142 42:-0.0319 43:0.0817 44:-0.1016 45:-0.1018 46:0.255 47:0.038 48:0.117 49:0.118 50:-0.055 51:-0.296 52:-0.186 53:0.389 54:0.083 55:0.297 56:0.008 57:0.134 58:-0.475 59:-0.039 60:0.181 61:0.243 62:-0.339 63:-0.044 64:-0.325 65:-0.027 66:0.221 67:-0.28 68:-0.315 69:0.157 70:0.303 71:-0.267 72:0.018 73:-0.265 74:-0.274 75:0.206 76:0.199 77:0.238 78:-0.015 79:-0.068 80:-0.196 81:0.068 82:0.147 83:-0.015 84:-0.132 85:-0.274 86:-0.353 87:0.071 88:-0.088 89:-0.195 90:-0.107 --15.07500193647416 1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.064625 12:-0.142 13:0.275875 14:-0.0305 15:-0.0705 16:0.057222222 17:-0.061888889 18:0.0098888889 19:-0.034666667 20:0.012222222 21:-0.010923077 22:-0.12438462 23:0.080461538 24:-0.016076923 25:-0.0079230769 26:0.026090909 27:-0.16972727 28:0.050090909 29:0.0026363636 30:-0.039 31:-0.036538462 32:-0.14438462 33:0.034923077 34:0.021692308 35:0.025384615 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1142 42:-0.0319 43:0.0817 44:-0.1016 45:-0.1018 46:-0.296 47:-0.186 48:0.389 49:0.083 50:0.297 51:-0.141 52:-0.057 53:0.425 54:-0.096 55:-0.091 56:0.221 57:-0.28 58:-0.315 59:0.157 60:0.303 61:-0.274 62:0.136 63:-0.187 64:-0.196 65:-0.299 66:-0.267 67:0.018 68:-0.265 69:-0.274 70:0.206 71:-0.132 72:0.174 73:0.07 74:0.565 75:-0.374 76:0.218 77:0.562 78:-0.024 79:0.018 80:0.106 81:0.243 82:-0.339 83:-0.044 84:-0.325 85:-0.027 86:-0.267 87:0.018 88:-0.265 89:-0.274 90:0.206 --51.71499918758623 1:0.0423 2:-0.0908 3:0.1058 4:-0.0588 5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 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5:0.0071 6:-0.093 7:-0.10091667 8:0.0031666667 9:-0.0215 10:0.024333333 11:-0.064625 12:-0.142 13:0.275875 14:-0.0305 15:-0.0705 16:0.057222222 17:-0.061888889 18:0.0098888889 19:-0.034666667 20:0.012222222 21:-0.010923077 22:-0.12438462 23:0.080461538 24:-0.016076923 25:-0.0079230769 26:0.026090909 27:-0.16972727 28:0.050090909 29:0.0026363636 30:-0.039 31:-0.036538462 32:-0.14438462 33:0.034923077 34:0.021692308 35:0.025384615 36:0.092833333 37:-0.025 38:-0.050833333 39:-0.0875 40:-0.13833333 41:-0.1142 42:-0.0319 43:0.0817 44:-0.1016 45:-0.1018 46:0.221 47:-0.28 48:-0.315 49:0.157 50:0.303 51:-0.267 52:0.018 53:-0.265 54:-0.274 55:0.206 56:-0.132 57:0.174 58:0.07 59:0.565 60:-0.374 61:0.008 62:0.134 63:-0.475 64:-0.039 65:0.181 66:0.008 67:0.134 68:-0.475 69:-0.039 70:0.181 71:0.218 72:0.562 73:-0.024 74:0.018 75:0.106 76:0.221 77:-0.28 78:-0.315 79:0.157 80:0.303 81:-0.267 82:0.018 83:-0.265 84:-0.274 85:0.206 86:-0.353 87:0.071 88:-0.088 89:-0.195 90:-0.107 --32.83341225088072 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19:-0.079555556 20:0.032888889 21:-0.0043076923 22:0.013538462 23:0.070923077 24:-0.097384615 25:-0.11330769 26:0.056363636 27:-0.057363636 28:0.030090909 29:-0.060363636 30:-0.056 31:-0.015384615 32:-0.031230769 33:0.016384615 34:-0.097846154 35:-0.049461538 36:0.097166667 37:-0.091166667 38:-0.0625 39:-0.057 40:-0.045333333 41:-0.1191 42:0.0071 43:0.0577 44:-0.1191 45:-0.0859 46:0.243 47:-0.339 48:-0.044 49:-0.325 50:-0.027 51:-0.267 52:0.018 53:-0.265 54:-0.274 55:0.206 56:-0.329 57:-0.023 58:0.072 59:-0.002 60:0.208 61:0.068 62:0.147 63:-0.015 64:-0.132 65:-0.274 66:0.243 67:-0.339 68:-0.044 69:-0.325 70:-0.027 71:0.218 72:0.562 73:-0.024 74:0.018 75:0.106 76:0.243 77:-0.339 78:-0.044 79:-0.325 80:-0.027 81:0.243 82:-0.339 83:-0.044 84:-0.325 85:-0.027 86:-0.267 87:0.018 88:-0.265 89:-0.274 90:0.206 --32.93202071838283 1:0.01 2:-0.066 3:0.0969 4:-0.0287 5:0.0523 6:-0.033166667 7:-0.036833333 8:0.055666667 9:-0.016083333 10:-0.015416667 11:0.0165 12:-0.064625 13:0.13225 14:-0.0785 15:-0.072875 16:0.044111111 17:0.034444444 18:-0.078888889 19:-0.079555556 20:0.032888889 21:-0.0043076923 22:0.013538462 23:0.070923077 24:-0.097384615 25:-0.11330769 26:0.056363636 27:-0.057363636 28:0.030090909 29:-0.060363636 30:-0.056 31:-0.015384615 32:-0.031230769 33:0.016384615 34:-0.097846154 35:-0.049461538 36:0.097166667 37:-0.091166667 38:-0.0625 39:-0.057 40:-0.045333333 41:-0.1191 42:0.0071 43:0.0577 44:-0.1191 45:-0.0859 46:0.008 47:0.134 48:-0.475 49:-0.039 50:0.181 51:-0.274 52:0.136 53:-0.187 54:-0.196 55:-0.299 56:0.171 57:-0.361 58:0.107 59:-0.258 60:-0.364 61:0.199 62:0.238 63:-0.015 64:-0.068 65:-0.196 66:-0.141 67:-0.057 68:0.425 69:-0.096 70:-0.091 71:0.199 72:0.238 73:-0.015 74:-0.068 75:-0.196 76:0.303 77:-0.057 78:-0.014 79:0.225 80:0.156 81:0.199 82:0.238 83:-0.015 84:-0.068 85:-0.196 86:-0.274 87:0.136 88:-0.187 89:-0.196 90:-0.299 diff --git a/Fred2/EpitopeAssembly/EpitopeAssembly.py b/Fred2/EpitopeAssembly/EpitopeAssembly.py index cd169720..54f7d3e7 100644 --- a/Fred2/EpitopeAssembly/EpitopeAssembly.py +++ b/Fred2/EpitopeAssembly/EpitopeAssembly.py @@ -7,7 +7,7 @@ .. moduleauthor:: schubert """ -from __future__ import division + import os import subprocess @@ -90,7 +90,7 @@ def __init__(self, peptides, pred, solver="glpk", weight=0.0, matrix=None, verbo fragments[frag] = (start_str, stop_str) fragments[garf] = (stop_str, start_str) - cleave_pred = pred.predict(fragments.keys()) + cleave_pred = pred.predict(list(fragments.keys())) #cleave_site_df = cleave_pred.xs((slice(None), (cleavage_pos-1))) for i in set(cleave_pred.index.get_level_values(0)): fragment = "".join(cleave_pred.ix[i]["Seq"]) @@ -98,14 +98,14 @@ def __init__(self, peptides, pred, solver="glpk", weight=0.0, matrix=None, verbo cleav_pos = len(str(start)) - 1 edge_matrix[(start, stop)] = -1.0 * (cleave_pred.loc[(i, len(str(start)) - 1), pred.name] - weight * sum( - cleave_pred.loc[(i, j), pred.name] for j in xrange(cleav_pos-1,cleav_pos+4,1) if j != cleav_pos)) + cleave_pred.loc[(i, j), pred.name] for j in range(cleav_pos-1,cleav_pos+4,1) if j != cleav_pos)) - self.neo_cleavage[(start, stop)] = sum(cleave_pred.loc[(i, j), pred.name] for j in xrange(cleav_pos-1, cleav_pos+4,1) if j != cleav_pos) + self.neo_cleavage[(start, stop)] = sum(cleave_pred.loc[(i, j), pred.name] for j in range(cleav_pos-1, cleav_pos+4,1) if j != cleav_pos) self.good_cleavage[(start, stop)] = cleave_pred.loc[(i, len(str(start)) - 1), pred.name] else: edge_matrix = matrix seq_to_pep = {str(p): p for p in pep_tmp} - for p in seq_to_pep.iterkeys(): + for p in seq_to_pep.keys(): if p != "Dummy": edge_matrix[(p,"Dummy")] = 0 edge_matrix[("Dummy",p)] = 0 @@ -115,9 +115,9 @@ def __init__(self, peptides, pred, solver="glpk", weight=0.0, matrix=None, verbo self.__solver = SolverFactory(solver) model = ConcreteModel() - E = filter(lambda x: x != "Dummy", seq_to_pep.keys()) + E = [x for x in list(seq_to_pep.keys()) if x != "Dummy"] model.E = Set(initialize=E) - model.E_prime = Set(initialize=seq_to_pep.keys()) + model.E_prime = Set(initialize=list(seq_to_pep.keys())) model.ExE = Set(initialize=itr.permutations(E,2), dimen=2) model.w_ab = Param(model.E_prime, model.E_prime, initialize=edge_matrix) @@ -143,7 +143,7 @@ def __init__(self, peptides, pred, solver="glpk", weight=0.0, matrix=None, verbo self.instance = model if self.__verbosity > 0: - print "MODEL INSTANCE" + print("MODEL INSTANCE") self.instance.pprint() def solve(self, options=None): @@ -292,7 +292,7 @@ def __init__(self, peptides, cl_pred, ep_pred, alleles, threshold, comparator, l for a in prob: prob_grouped.setdefault(a.locus, []).append(a) - for g, v in no_prob_grouped.iteritems(): + for g, v in no_prob_grouped.items(): total_loc_a = len(v) if g in prob_grouped: remaining_mass = 1.0 - sum(a.prob for a in prob_grouped[g]) @@ -304,7 +304,7 @@ def __init__(self, peptides, cl_pred, ep_pred, alleles, threshold, comparator, l probs = {a.name:a.prob for a in _alleles} if verbosity: for a in _alleles: - print a.name, a.prob + print(a.name, a.prob) #Generate model @@ -339,15 +339,15 @@ def __init__(self, peptides, cl_pred, ep_pred, alleles, threshold, comparator, l fragments[frag] = (start_str, stop_str) fragments[garf] = (stop_str, start_str) - epi_pred = ep_pred.predict(generate_peptides_from_proteins(fragments.keys(), length), alleles=_alleles) + epi_pred = ep_pred.predict(generate_peptides_from_proteins(list(fragments.keys()), length), alleles=_alleles) for index,row in epi_pred.iterrows(): nof_epis = sum(comparator(row[a],threshold.get(a.name, 0)) for a in _alleles) \ - for protein in index[0].proteins.itervalues(): + for protein in index[0].proteins.values(): start, stop = fragments[protein] ep_edge_matrix[start,stop] += len(index[0].proteinPos[protein.transcript_id])*nof_epis - cleave_pred = cl_pred.predict(fragments.keys()) + cleave_pred = cl_pred.predict(list(fragments.keys())) #cleave_site_df = cleave_pred.xs((slice(None), (cleavage_pos-1))) for i in set(cleave_pred.index.get_level_values(0)): fragment = "".join(cleave_pred.ix[i]["Seq"]) @@ -356,11 +356,11 @@ def __init__(self, peptides, cl_pred, ep_pred, alleles, threshold, comparator, l cleav_pos = len(str(start)) - 1 cl_edge_matrix[(start, stop)] = -1.0 * ( cleave_pred.loc[(i, len(str(start)) - 1), cl_pred.name] - weight * sum( - cleave_pred.loc[(i, j), cl_pred.name] for j in xrange(cleav_pos - 1, cleav_pos + 4, 1) if + cleave_pred.loc[(i, j), cl_pred.name] for j in range(cleav_pos - 1, cleav_pos + 4, 1) if j != cleav_pos)) self.neo_cleavage[(start, stop)] = sum( - cleave_pred.loc[(i, j), cl_pred.name] for j in xrange(cleav_pos - 1, cleav_pos + 4, 1) if + cleave_pred.loc[(i, j), cl_pred.name] for j in range(cleav_pos - 1, cleav_pos + 4, 1) if j != cleav_pos) self.good_cleavage[(start, stop)] = cleave_pred.loc[(i, len(str(start)) - 1), cl_pred.name] @@ -368,7 +368,7 @@ def __init__(self, peptides, cl_pred, ep_pred, alleles, threshold, comparator, l else: cl_edge_matrix = matrix seq_to_pep = {str(p): p for p in pep_tmp} - for p in seq_to_pep.iterkeys(): + for p in seq_to_pep.keys(): if p != "Dummy": cl_edge_matrix[(p,"Dummy")] = 0 cl_edge_matrix[("Dummy",p)] = 0 @@ -380,9 +380,9 @@ def __init__(self, peptides, cl_pred, ep_pred, alleles, threshold, comparator, l self.__solver = SolverFactory(solver) model = ConcreteModel() - E = filter(lambda x: x != "Dummy", seq_to_pep.keys()) + E = [x for x in list(seq_to_pep.keys()) if x != "Dummy"] model.E = Set(initialize=E) - model.E_prime = Set(initialize=seq_to_pep.keys()) + model.E_prime = Set(initialize=list(seq_to_pep.keys())) model.ExE = Set(initialize=itr.permutations(E,2), dimen=2) model.w_ab = Param(model.E_prime, model.E_prime, initialize=cl_edge_matrix) @@ -424,7 +424,7 @@ def __init__(self, peptides, cl_pred, ep_pred, alleles, threshold, comparator, l self.epsilons = [model.eps2, model.eps1] self.instance = model if self.__verbosity > 0: - print "MODEL INSTANCE" + print("MODEL INSTANCE") self.instance.pprint() def solve(self, eps=1e6, order=(0,1), options={}): @@ -450,7 +450,7 @@ def solve(self, eps=1e6, order=(0,1), options={}): objs[order[0]] = self.objectsives[order[0]].expr() if self.__verbosity > 0: res.write(num=1) - print "Objective {nof_obj}:{value}".format(nof_obj=order[0],value=objs[order[0]]) + print("Objective {nof_obj}:{value}".format(nof_obj=order[0],value=objs[order[0]])) self.objectsives[order[1]].activate() self.objectsives[order[0]].deactivate() @@ -464,7 +464,7 @@ def solve(self, eps=1e6, order=(0,1), options={}): objs[order[1]] = self.objectsives[order[1]].expr() if self.__verbosity > 0: res.write(num=1) - print "Objective {nof_obj}:{value}".format(nof_obj=order[1],value=objs[order[1]]) + print("Objective {nof_obj}:{value}".format(nof_obj=order[1],value=objs[order[1]])) return objs[0], objs[1], [self.__seq_to_pep[u] for u in sorted(self.instance.u, key=lambda x: self.instance.u[x].value)] @@ -539,14 +539,14 @@ def _spacer_design(ei, ej, k, en, cn, cl_pssm, epi_pssms, cleav_pos, allele_prob seq = ei+ej i = len(ei)-cleav_pos g=len(ei)+k-cleav_pos - c1=sum(cl_pssm[j][seq[i+j]] for j in xrange(cn))+cl_pssm.get(-1,{}).get("con",0) - c2=sum(cl_pssm[j][seq[g+j]] for j in xrange(cn))+cl_pssm.get(-1,{}).get("con",0) - non_c = sum(sum(cl_pssm[j][seq[k+j]] for j in xrange(cn) if k != i and k != g)+cl_pssm.get(-1,{}).get("con",0) - for k in xrange(len(seq)-(cn-1))) + c1=sum(cl_pssm[j][seq[i+j]] for j in range(cn))+cl_pssm.get(-1,{}).get("con",0) + c2=sum(cl_pssm[j][seq[g+j]] for j in range(cn))+cl_pssm.get(-1,{}).get("con",0) + non_c = sum(sum(cl_pssm[j][seq[k+j]] for j in range(cn) if k != i and k != g)+cl_pssm.get(-1,{}).get("con",0) + for k in range(len(seq)-(cn-1))) - imm = sum(prob*sum(max(sum(epi_pssms[j,seq[i+j],a] for j in xrange(en))+epi_pssms.get((-1,"con",a),0)-thresh[a],0) - for i in xrange(len(seq)-en)) - for a,prob in allele_prob.iteritems()) + imm = sum(prob*sum(max(sum(epi_pssms[j,seq[i+j],a] for j in range(en))+epi_pssms.get((-1,"con",a),0)-thresh[a],0) + for i in range(len(seq)-en)) + for a,prob in allele_prob.items()) return "",(c1+c2)/2, imm,c1,c2,non_c @@ -554,15 +554,15 @@ def normalize_pssm(p): max_p = -float("inf") min_p = float("inf") norm = {} - for i,v in p.iteritems(): + for i,v in p.items(): max_tmp = max(v.values()) min_tmp = min(v.values()) if max_tmp > max_p: max_p = max_tmp if min_tmp < min_p: min_p = min_tmp - for i,v in p.iteritems(): - for a,score in v.iteritems(): + for i,v in p.items(): + for a,score in v.items(): norm.setdefault(i,{}).update({a:(score-min_p)/(max_p - min_p)}) return norm @@ -581,14 +581,14 @@ def sequence_set(model,i): return alphabet else: return [ej[i-len(ei)-k]] - model.A = Set(initialize=allele_prob.keys()) - model.C = Set(initialize=range(cn)) - model.EN = Set(initialize=range(en)) - model.L = Set(initialize=range(le)) + model.A = Set(initialize=list(allele_prob.keys())) + model.C = Set(initialize=list(range(cn))) + model.EN = Set(initialize=list(range(en))) + model.L = Set(initialize=list(range(le))) model.Sigma = Set(initialize=alphabet) model.S = Set(model.L, initialize=sequence_set) - model.AUX = Set(dimen=2, initialize=lambda model: [(i,a) for i in xrange(le) for a in model.S[i]]) - model.R = Set(initialize=range(le-(en-1))) + model.AUX = Set(dimen=2, initialize=lambda model: [(i,a) for i in range(le) for a in model.S[i]]) + model.R = Set(initialize=list(range(le-(en-1)))) #param model.f = Param(model.C, model.Sigma, initialize=lambda model,i,a: cl_pssm_norm[i][a]) @@ -614,7 +614,7 @@ def sequence_set(model,i): model.obj_epi = Objective(rule=lambda model: sum(model.y[i,a]*model.p[a] for a in model.A for i in model.R), sense=minimize) - model.obj_non_cleav = Objective(rule=lambda model: sum( model.f[j,a]*model.x[j+i,a] for i in xrange(le-(cn-1)) + model.obj_non_cleav = Objective(rule=lambda model: sum( model.f[j,a]*model.x[j+i,a] for i in range(le-(cn-1)) for j in model.C for a in model.S[i+j] if i != model.ci and i != model.cj)+(le-(cn-1)-2)*model.bc, sense=minimize) @@ -683,19 +683,19 @@ def sequence_set(model,i): ci = float(sum(cl_pssm[i][a]*instance.x[model.ci+i,a].value for i in instance.C for a in instance.S[instance.ci+i] ))+cl_pssm.get(-1,{}).get("con",0) cj = float(sum(cl_pssm[j][a]*instance.x[model.cj+j,a].value for j in instance.C for a in instance.S[instance.cj+j]))+cl_pssm.get(-1,{}).get("con",0) imm = float(sum(instance.y[i,a].value*instance.p[a] for a in instance.A for i in instance.R)) - non_c = float(sum(cl_pssm[j][a]*instance.x[j+i,a].value for i in xrange(le-(cn-1)) + non_c = float(sum(cl_pssm[j][a]*instance.x[j+i,a].value for i in range(le-(cn-1)) for j in instance.C for a in instance.S[i+j] if i != instance.ci and i != instance.cj)) - return "".join([a for i in xrange(len(ei), len(ei) + k) for a in instance.S[i] if + return "".join([a for i in range(len(ei), len(ei) + k) for a in instance.S[i] if instance.x[i, a].value]), float(ci+cj)/2, imm, float(ci),float(cj),non_c else: raise RuntimeError("Problem could not be solved. Please check your input.") else: ci = float(sum(cl_pssm[i][a]*instance.x[model.ci+i,a].value for i in instance.C for a in instance.S[instance.ci+i] ))+cl_pssm.get(-1,{}).get("con",0) cj = float(sum(cl_pssm[j][a]*instance.x[model.cj+j,a].value for j in instance.C for a in instance.S[instance.cj+j]))+cl_pssm.get(-1,{}).get("con",0) - non_c = float(sum(cl_pssm[j][a]*instance.x[j+i,a].value for i in xrange(le-(cn-1)) + non_c = float(sum(cl_pssm[j][a]*instance.x[j+i,a].value for i in range(le-(cn-1)) for j in instance.C for a in instance.S[i+j] if i != instance.ci and i != instance.cj)) @@ -703,7 +703,7 @@ def sequence_set(model,i): #print "Epitope pair: ", ei,ej, "Second cleavage: ",0.5*(sum( instance.f[i,a]*instance.x[model.ci+i,a].value for i in instance.C for a in instance.S[model.ci+i] ) # + sum(instance.f[j,a]*instance.x[model.cj+j,a].value for j in instance.C for a in instance.S[model.cj+j])+2*instance.bc), obj_cleav*alpha, "second imm ", instance.obj_epi() - return "".join([a for i in xrange(len(ei), len(ei) + k) for a in instance.S[i] if + return "".join([a for i in range(len(ei), len(ei) + k) for a in instance.S[i] if instance.x[i, a].value]), float(ci+cj)/2, instance.obj_epi(),float(ci),float(cj),non_c else: raise RuntimeError("Problem could not be solved. Please check your input.") @@ -786,7 +786,7 @@ def __init__(self, peptides, cleav_pred, epi_pred, alleles, k=5, en=9, threshold prob_grouped.setdefault(a.locus, []).append(a) #print no_prob_grouped, prob_grouped - for g, v in no_prob_grouped.iteritems(): + for g, v in no_prob_grouped.items(): total_loc_a = len(v) if g in prob_grouped: remaining_mass = 1.0 - sum(a.prob for a in prob_grouped[g]) @@ -798,7 +798,7 @@ def __init__(self, peptides, cleav_pred, epi_pred, alleles, k=5, en=9, threshold probs = {a.name:a.prob for a in _alleles} if verbosity: for a in _alleles: - print a.name, a.prob + print(a.name, a.prob) self.spacer = {} @@ -852,18 +852,18 @@ def __load_model(name, model): allele_prob = {} delete_alleles = [] if self.__epi_pred.name in ["smm", "smmpmbec", "comblibsidney"]: - self.__thresh = {k: (1-math.log(v, 50000) if v != 0 else 0) for k, v in self.__thresh.iteritems()} + self.__thresh = {k: (1-math.log(v, 50000) if v != 0 else 0) for k, v in self.__thresh.items()} for a in self.__alleles: allele_prob[a.name] = a.prob try: pssm = __load_model(self.__epi_pred.name, "%s_%i"%(self.__epi_pred.convert_alleles([a])[0], en)) if self.__epi_pred.name in ["smm", "smmpmbec", "comblibsidney"]: - for j, v in pssm.iteritems(): - for aa, score in v.iteritems(): + for j, v in pssm.items(): + for aa, score in v.items(): epi_pssms[j, aa, a.name] = 1/10. - math.log(math.pow(10, score), 50000) else: - for j, v in pssm.iteritems(): - for aa, score in v.iteritems(): + for j, v in pssm.items(): + for aa, score in v.items(): epi_pssms[j, aa, a.name] = score except ImportError: delete_alleles.append(a) @@ -879,7 +879,7 @@ def __load_model(name, model): #print "run spacer designs in parallel using multiprocessing" res = pool.map(_runs_lexmin, ((str(ei), str(ej), i, en, cn, cl_pssm, epi_pssms, cleav_pos, allele_prob, self.__alpha, self.__thresh, self.__solver, self.__beta, options) - for i in xrange(start, self.__k+1) + for i in range(start, self.__k+1) for ei, ej in itr.product(self.__peptides, repeat=2) if ei != ej)) pool.close() pool.join() @@ -903,7 +903,7 @@ def __load_model(name, model): #generate output sob = [] - for i in xrange(len(res)-1): + for i in range(len(res)-1): ei = str(res[i]) ej = str(res[i+1]) if not i: @@ -946,18 +946,18 @@ def __load_model(name, model): delete_alleles = [] if self.__epi_pred.name in ["smm", "smmpmbec", "comblibsidney"]: - self.__thresh = {k: (1-math.log(v, 50000) if v != 0 else 0) for k, v in self.__thresh.iteritems()} + self.__thresh = {k: (1-math.log(v, 50000) if v != 0 else 0) for k, v in self.__thresh.items()} for a in self.__alleles: allele_prob[a.name] = a.prob try: pssm = __load_model(self.__epi_pred.name, "%s_%i"%(self.__epi_pred.convert_alleles([a])[0], en)) if self.__epi_pred.name in ["smm", "smmpmbec", "comblibsidney"]: - for j, v in pssm.iteritems(): - for aa, score in v.iteritems(): + for j, v in pssm.items(): + for aa, score in v.items(): epi_pssms[j, aa, a.name] = 1/10. - math.log(math.pow(10, score), 50000) else: - for j, v in pssm.iteritems(): - for aa, score in v.iteritems(): + for j, v in pssm.items(): + for aa, score in v.items(): epi_pssms[j, aa, a.name] = score except ImportError: delete_alleles.append(a) @@ -973,7 +973,7 @@ def __load_model(name, model): # print "run spacer designs in parallel using multiprocessing" res = pool.map(_runs_lexmin, ((str(ei), str(ej), i, en, cn, cl_pssm, epi_pssms, cleav_pos, allele_prob, self.__alpha, self.__thresh, self.__solver, self.__beta, options) - for i in xrange(start, self.__k+1) + for i in range(start, self.__k+1) for ei, ej in itr.product(self.__peptides, repeat=2) if ei != ej)) pool.close() pool.join() @@ -996,7 +996,7 @@ def __load_model(name, model): #generate output sob = [] - for i in xrange(len(res)-1): + for i in range(len(res)-1): ei = str(res[i]) ej = str(res[i+1]) if not i: diff --git a/Fred2/EpitopePrediction/External.py b/Fred2/EpitopePrediction/External.py index efa45b59..c2fdb4cb 100755 --- a/Fred2/EpitopePrediction/External.py +++ b/Fred2/EpitopePrediction/External.py @@ -86,13 +86,13 @@ def predict(self, peptides, alleles=None, command=None, options=None, **kwargs): if alleles is None: al = [Allele(a) for a in self.supportedAlleles] - allales_string = {conv_a: a for conv_a, a in itertools.izip(self.convert_alleles(al), al)} + allales_string = {conv_a: a for conv_a, a in zip(self.convert_alleles(al), al)} else: if isinstance(alleles, Allele): alleles = [alleles] if any(not isinstance(p, Allele) for p in alleles): raise ValueError("Input is not of type Allele") - allales_string = {conv_a: a for conv_a, a in itertools.izip(self.convert_alleles(alleles), alleles)} + allales_string = {conv_a: a for conv_a, a in zip(self.convert_alleles(alleles), alleles)} result = defaultdict(defaultdict) @@ -109,7 +109,7 @@ def predict(self, peptides, alleles=None, command=None, options=None, **kwargs): allele_groups = [] c_a = 0 allele_group = [] - for a in allales_string.iterkeys(): + for a in allales_string.keys(): if c_a >= _MAX_ALLELES: c_a = 0 allele_groups.append(allele_group) @@ -129,7 +129,7 @@ def predict(self, peptides, alleles=None, command=None, options=None, **kwargs): allele_groups.append(allele_group) # export peptides to peptide list - pep_groups = pep_seqs.keys() + pep_groups = list(pep_seqs.keys()) pep_groups.sort(key=len) for length, peps in itertools.groupby(pep_groups, key=len): if length not in self.supportedLength: @@ -137,7 +137,7 @@ def predict(self, peptides, alleles=None, command=None, options=None, **kwargs): self.name, length)) continue peps = list(peps) - for i in xrange(0, len(peps), chunksize): + for i in range(0, len(peps), chunksize): tmp_out = NamedTemporaryFile(delete=False) tmp_file = NamedTemporaryFile(delete=False) self.prepare_input(peps[i:i+chunksize], tmp_file) @@ -163,8 +163,8 @@ def predict(self, peptides, alleles=None, command=None, options=None, **kwargs): raise RuntimeError(e) res_tmp = self.parse_external_result(tmp_out.name) - for al, ep_dict in res_tmp.iteritems(): - for p, v in ep_dict.iteritems(): + for al, ep_dict in res_tmp.items(): + for p, v in ep_dict.items(): result[allales_string[al]][pep_seqs[p]] = v os.remove(tmp_file.name) tmp_out.close() @@ -279,14 +279,14 @@ def parse_external_result(self, file): """ result = defaultdict(defaultdict) f = csv.reader(open(file, "r"), delimiter='\t') - f.next() - f.next() - alleles = map(lambda x: x.split()[0], f.next()[3:]) + next(f) + next(f) + alleles = [x.split()[0] for x in f.next()[3:]] for l in f: if not l: continue pep_seq = l[2] - for ic_50, a in itertools.izip(l[3:], alleles): + for ic_50, a in zip(l[3:], alleles): sc = 1.0 - math.log(float(ic_50), 50000) result[a][pep_seq] = sc if sc > 0.0 else 0.0 return dict(result) @@ -405,12 +405,12 @@ def parse_external_result(self, file): next(f, None) # skip first line with logging stuff next(f, None) # skip first line with nothing csvr = csv.reader(f, delimiter='\t') - alleles = map(lambda x: x.split()[0], csvr.next()[3:]) + alleles = [x.split()[0] for x in csvr.next()[3:]] for l in csvr: if not l: continue pep_seq = l[2] - for ic_50, a in itertools.izip(l[3:], alleles): + for ic_50, a in zip(l[3:], alleles): sc = 1.0 - math.log(float(ic_50), 50000) result[a][pep_seq] = sc if sc > 0.0 else 0.0 if 'Average' in result: @@ -465,8 +465,8 @@ def parse_external_result(self, file): result = defaultdict(defaultdict) f = csv.reader(open(file, "r"), delimiter='\t') pos_factor = 3 - alleles = map(lambda x: x.split()[0], filter(lambda x: x.strip() != "", f.next())) - f.next() + alleles = [x.split()[0] for x in [x for x in next(f) if x.strip() != ""]] + next(f) for l in f: if not l: continue @@ -1391,8 +1391,8 @@ def parse_external_result(self, file): """ result = defaultdict(defaultdict) f = csv.reader(open(file, "r"), delimiter='\t') - alleles = list(filter(lambda x: x != "", f.next())) - f.next() + alleles = list([x for x in next(f) if x != ""]) + next(f) ic_pos = 3 for row in f: pep_seq = row[1] @@ -1435,8 +1435,8 @@ def parse_external_result(self, file): """ result = defaultdict(defaultdict) f = csv.reader(open(file, "r"), delimiter='\t') - alleles = list(filter(lambda x: x != "", f.next())) - f.next() + alleles = list([x for x in next(f) if x != ""]) + next(f) ic_pos = 4 for row in f: pep_seq = row[1] @@ -1876,17 +1876,17 @@ def parse_external_result(self, file): result = defaultdict(dict) with open(file, "r") as f: f = csv.reader(f, delimiter='\t') - alleles = filter(lambda x: x.strip() != "", f.next()) - print alleles + alleles = [x for x in next(f) if x.strip() != ""] + print(alleles) ic_pos = 4 offset = 3 - header = f.next() - print "\t".join(header) + header = next(f) + print("\t".join(header)) if "Aff(nM)" in header: ic_pos = 9 offset = 8 for row in f: - print "\t".join(row) + print("\t".join(row)) pep_seq = row[1] for i, a in enumerate(alleles): result[a][pep_seq] = float(row[ic_pos +i*offset]) @@ -3899,8 +3899,8 @@ def parse_external_result(self, file): """ result = defaultdict(defaultdict) f = csv.reader(open(file, "r"), delimiter='\t') - alleles = map(lambda x: x.replace("*", "_").replace(":", ""), set(filter(lambda x: x != "", f.next()))) - f.next() + alleles = [x.replace("*", "_").replace(":", "") for x in set([x for x in next(f) if x != ""])] + next(f) ic_pos = 3 for row in f: pep_seq = row[1] diff --git a/Fred2/EpitopePrediction/PSSM.py b/Fred2/EpitopePrediction/PSSM.py index 483ef643..a9ac7eaf 100644 --- a/Fred2/EpitopePrediction/PSSM.py +++ b/Fred2/EpitopePrediction/PSSM.py @@ -54,16 +54,16 @@ def __load_allele_model(allele, length): if alleles is None: al = [Allele(a) for a in self.supportedAlleles] - alleles_string = {conv_a:a for conv_a, a in itertools.izip(self.convert_alleles(al), al)} + alleles_string = {conv_a:a for conv_a, a in zip(self.convert_alleles(al), al)} else: if isinstance(alleles, Allele): alleles = [alleles] if any(not isinstance(p, Allele) for p in alleles): raise ValueError("Input is not of type Allele") - alleles_string = {conv_a:a for conv_a, a in itertools.izip(self.convert_alleles(alleles), alleles)} + alleles_string = {conv_a:a for conv_a, a in zip(self.convert_alleles(alleles), alleles)} result = {} - pep_groups = pep_seqs.keys() + pep_groups = list(pep_seqs.keys()) pep_groups.sort(key=len) for length, peps in itertools.groupby(pep_groups, key=len): @@ -73,7 +73,7 @@ def __load_allele_model(allele, length): warnings.warn("Peptide length of %i is not supported by %s"%(length, self.name)) continue - for a in alleles_string.keys(): + for a in list(alleles_string.keys()): try: pssm = __load_allele_model(a, length) except ImportError: @@ -84,7 +84,7 @@ def __load_allele_model(allele, length): result[alleles_string[a]] = {} ##here is the prediction and result object missing## for p in peps: - score = sum(pssm[i].get(p[i], 0.0) for i in xrange(length))+pssm.get(-1, {}).get("con", 0) + score = sum(pssm[i].get(p[i], 0.0) for i in range(length))+pssm.get(-1, {}).get("con", 0) result[alleles_string[a]][pep_seqs[p]] = score if not result: @@ -582,23 +582,23 @@ def __load_allele_model(allele, length): if alleles is None: al = [Allele(a) for a in self.supportedAlleles] - alleles_string = {conv_a:a for conv_a, a in itertools.izip(self.convert_alleles(al), al)} + alleles_string = {conv_a:a for conv_a, a in zip(self.convert_alleles(al), al)} else: if isinstance(alleles, Allele): alleles = [alleles] if any(not isinstance(p, Allele) for p in alleles): raise ValueError("Input is not of type Allele") - alleles_string = {conv_a:a for conv_a, a in itertools.izip(self.convert_alleles(alleles), alleles)} + alleles_string = {conv_a:a for conv_a, a in zip(self.convert_alleles(alleles), alleles)} result = {} - for length, peps in itertools.groupby(pep_seqs.iterkeys(), key=lambda x: len(x)): + for length, peps in itertools.groupby(iter(pep_seqs.keys()), key=lambda x: len(x)): peps = list(peps) #dynamicaly import prediction PSSMS for alleles and predict if length not in self.supportedLength: warnings.warn("Peptide length of %i is not supported by %s"%(length, self.name)) continue - for a in alleles_string.keys(): + for a in list(alleles_string.keys()): try: pssm = __load_allele_model(a, length) except ImportError: @@ -608,7 +608,7 @@ def __load_allele_model(allele, length): result[alleles_string[a]] = {} ##here is the prediction and result object missing## for p in peps: - score = sum(pssm[i].get(p[i], 0.0) for i in xrange(length))+pssm.get(-1, {}).get("con", 0) + score = sum(pssm[i].get(p[i], 0.0) for i in range(length))+pssm.get(-1, {}).get("con", 0) score /= -length score -= pssm[-1]["intercept"] score /= pssm[-1]["slope"] @@ -936,16 +936,16 @@ def __load_allele_model(allele, length): if alleles is None: al = [Allele(a) for a in self.supportedAlleles] - alleles_string = {conv_a:a for conv_a, a in itertools.izip(self.convert_alleles(al), al)} + alleles_string = {conv_a:a for conv_a, a in zip(self.convert_alleles(al), al)} else: if isinstance(alleles, Allele): alleles = [alleles] if any(not isinstance(p, Allele) for p in alleles): raise ValueError("Input is not of type Allele") - alleles_string = {conv_a:a for conv_a, a in itertools.izip(self.convert_alleles(alleles), alleles)} + alleles_string = {conv_a:a for conv_a, a in zip(self.convert_alleles(alleles), alleles)} result = {} - pep_groups = pep_seqs.keys() + pep_groups = list(pep_seqs.keys()) pep_groups.sort(key=len) for length, peps in itertools.groupby(pep_groups, key=len): @@ -954,7 +954,7 @@ def __load_allele_model(allele, length): continue peps = list(peps) - for a, allele in alleles_string.iteritems(): + for a, allele in alleles_string.items(): if alleles_string[a] not in result: result[allele] = {} @@ -970,7 +970,7 @@ def __load_allele_model(allele, length): for p in peps: score = sum(self.__log_enrichment.get(p[i], 0.0)*importance[i] - for i in xrange(length) if i not in pssm) + for i in range(length) if i not in pssm) result[allele][pep_seqs[p]] = score if not result: @@ -983,4 +983,4 @@ def __load_allele_model(allele, length): return df_result def convert_alleles(self, alleles): - return map(lambda x: x.name.replace("*","").replace(":",""), alleles) + return [x.name.replace("*","").replace(":","") for x in alleles] diff --git a/Fred2/EpitopePrediction/SVM.py b/Fred2/EpitopePrediction/SVM.py index c4317d1a..bc07725e 100644 --- a/Fred2/EpitopePrediction/SVM.py +++ b/Fred2/EpitopePrediction/SVM.py @@ -56,17 +56,17 @@ def predict(self, peptides, alleles=None, **kwargs): if alleles is None: al = [Allele(a) for a in self.supportedAlleles] - allales_string = {conv_a: a for conv_a, a in itertools.izip(self.convert_alleles(al), al)} + allales_string = {conv_a: a for conv_a, a in zip(self.convert_alleles(al), al)} else: if isinstance(alleles, Allele): alleles = [alleles] if any(not isinstance(p, Allele) for p in alleles): raise ValueError("Input is not of type Allele") - allales_string = {conv_a: a for conv_a, a in itertools.izip(self.convert_alleles(alleles), alleles)} + allales_string = {conv_a: a for conv_a, a in zip(self.convert_alleles(alleles), alleles)} # group peptides by length and result = {} - pep_groups = pep_seqs.keys() + pep_groups = list(pep_seqs.keys()) pep_groups.sort(key=len) for length, peps in itertools.groupby(pep_groups, key=len): # load svm model @@ -76,10 +76,10 @@ def predict(self, peptides, alleles=None, **kwargs): continue peps = list(peps) - for i in xrange(0, len(peps), chunksize): + for i in range(0, len(peps), chunksize): encoding = self.encode(peps[i:i+chunksize]) - for a in allales_string.keys(): + for a in list(allales_string.keys()): model_path = pkg_resources.resource_filename("Fred2.Data.svms.%s" % self.name, "%s_%i" % (a, length)) if not os.path.exists(model_path): warnings.warn("No model exists for peptides of length %i or allele %s." % (length, @@ -87,10 +87,10 @@ def predict(self, peptides, alleles=None, **kwargs): continue model = svmlight.read_model(model_path) - pred = svmlight.classify(model, encoding.values()) + pred = svmlight.classify(model, list(encoding.values())) if allales_string[a] not in result: result[allales_string[a]] = {} - for pep, score in itertools.izip(encoding.keys(), pred): + for pep, score in zip(list(encoding.keys()), pred): result[allales_string[a]][pep_seqs[pep]] = score if not result: @@ -484,7 +484,7 @@ def encode(self, peptides, allele): 'T': -0.274, 'W': 0.297, 'V': -0.299, 'Y': -0.091}] def __encode(pep, a): - encoding = zip(xrange(1, 46), UniTope_encodedAlleles[a + "_9"]) + encoding = list(zip(list(range(1, 46)), UniTope_encodedAlleles[a + "_9"])) c = 46 for p in str(pep): for i, pc in enumerate(pca): @@ -525,13 +525,13 @@ def predict(self, peptides, alleles=None, **kwargs): if alleles is None: al = [Allele(a) for a in self.supportedAlleles] - allales_string = {conv_a: a for conv_a, a in itertools.izip(self.convert_alleles(al), al)} + allales_string = {conv_a: a for conv_a, a in zip(self.convert_alleles(al), al)} else: if isinstance(alleles, Allele): alleles = [alleles] if any(not isinstance(p, Allele) for p in alleles): raise ValueError("Input is not of type Allele") - allales_string = {conv_a: a for conv_a, a in itertools.izip(self.convert_alleles(alleles), alleles)} + allales_string = {conv_a: a for conv_a, a in zip(self.convert_alleles(alleles), alleles)} # group peptides by length and result = {} @@ -540,20 +540,20 @@ def predict(self, peptides, alleles=None, **kwargs): # model_path = os.path.abspath("../Data/svms/%s/%s"%(self.name, self.name)) model = svmlight.read_model(model_path) - for length, peps in itertools.groupby(pep_seqs.iterkeys(), key=lambda x: len(x)): + for length, peps in itertools.groupby(iter(pep_seqs.keys()), key=lambda x: len(x)): # load svm model peps = list(peps) if length != 9: warnings.warn("Peptide length of %i is not supported by UniTope" % length) continue - for a in allales_string.keys(): + for a in list(allales_string.keys()): if allales_string[a].name in self.supportedAlleles: - for i in xrange(0, len(peps), chunksize): + for i in range(0, len(peps), chunksize): encoding = self.encode(peps[i:i+chunksize], a) - pred = svmlight.classify(model, encoding.values()) + pred = svmlight.classify(model, list(encoding.values())) result[allales_string[a]] = {} - for pep, score in itertools.izip(encoding.keys(), pred): + for pep, score in zip(list(encoding.keys()), pred): result[allales_string[a]][pep_seqs[pep]] = score if not result: diff --git a/Fred2/EpitopePrediction/__init__.py b/Fred2/EpitopePrediction/__init__.py index 7af6131d..6e296f6c 100644 --- a/Fred2/EpitopePrediction/__init__.py +++ b/Fred2/EpitopePrediction/__init__.py @@ -49,4 +49,4 @@ def available_methods(): :return: dict(str,list(str) - dictionary of epitope predictors represented as string and a list of supported versions """ - return {k: sorted(versions.iterkeys()) for k, versions in AEpitopePrediction.registry.iteritems()} \ No newline at end of file + return {k: sorted(versions.keys()) for k, versions in AEpitopePrediction.registry.items()} \ No newline at end of file diff --git a/Fred2/EpitopeSelection/OptiTope.py b/Fred2/EpitopeSelection/OptiTope.py index 6550ed69..97a7c92a 100644 --- a/Fred2/EpitopeSelection/OptiTope.py +++ b/Fred2/EpitopeSelection/OptiTope.py @@ -24,7 +24,7 @@ """ -from __future__ import division + import itertools as itr import copy @@ -93,7 +93,7 @@ def __init__(self, results, threshold=None, k=10, solver="glpk", verbosity=0): for a in prob: prob_grouped.setdefault(a.locus, []).append(a) - for g, v in no_prob_grouped.iteritems(): + for g, v in no_prob_grouped.items(): total_loc_a = len(v) if g in prob_grouped: remaining_mass = 1.0 - sum(a.prob for a in prob_grouped[g]) @@ -105,7 +105,7 @@ def __init__(self, results, threshold=None, k=10, solver="glpk", verbosity=0): probs = {a.name:a.prob for a in _alleles} if verbosity: for a in _alleles: - print a.name, a.prob + print(a.name, a.prob) #start constructing model self.__solver = SolverFactory(solver) @@ -161,7 +161,7 @@ def __init__(self, results, threshold=None, k=10, solver="glpk", verbosity=0): #calculate conservation variations = set(variations) total = len(variations) - for e, v in cons.iteritems(): + for e, v in cons.items(): try: cons[e] = v / total except ZeroDivisionError: @@ -173,7 +173,7 @@ def __init__(self, results, threshold=None, k=10, solver="glpk", verbosity=0): model.E = Set(initialize=set(peps.keys())) - model.A = Set(initialize=alleles_I.keys()) + model.A = Set(initialize=list(alleles_I.keys())) model.E_var = Set(model.Q, initialize=lambda mode, v: epi_var[v]) model.A_I = Set(model.A, initialize=lambda model, a: alleles_I[a]) @@ -218,7 +218,7 @@ def __init__(self, results, threshold=None, k=10, solver="glpk", verbosity=0): #generate instance self.instance = model if self.__verbosity > 0: - print "MODEL INSTANCE" + print("MODEL INSTANCE") self.instance.pprint() #constraints diff --git a/Fred2/HLAtyping/External.py b/Fred2/HLAtyping/External.py index cbe47462..aef94ea1 100644 --- a/Fred2/HLAtyping/External.py +++ b/Fred2/HLAtyping/External.py @@ -149,8 +149,8 @@ def parse_external_result(self, output): latest_subdir = max(all_subdirs, key=os.path.getmtime) result_file = latest_subdir+"/"+os.path.basename(os.path.normpath(latest_subdir))+"_result.tsv" with open(result_file, "r") as f: - row = csv.DictReader(f, delimiter="\t").next() - return map(lambda x: Allele("HLA-"+x), [ row[k] for k in ["A1","A2","B1","B2","C1","C2"]]) + row = next(csv.DictReader(f, delimiter="\t")) + return [Allele("HLA-"+x) for x in [ row[k] for k in ["A1","A2","B1","B2","C1","C2"]]] def clean_up(self, output): """ diff --git a/Fred2/HLAtyping/__init__.py b/Fred2/HLAtyping/__init__.py index fb506274..6a449287 100644 --- a/Fred2/HLAtyping/__init__.py +++ b/Fred2/HLAtyping/__init__.py @@ -36,4 +36,4 @@ def available_methods(): :return: dict(str, list(str)) - A dictionary of epitope predictors represented as string and a list of versions """ - return {k:sorted(versions.iterkeys()) for k,versions in AHLATyping.registry.iteritems() } \ No newline at end of file + return {k:sorted(versions.keys()) for k,versions in AHLATyping.registry.items() } \ No newline at end of file diff --git a/Fred2/IO/ADBAdapter.py b/Fred2/IO/ADBAdapter.py index 99419c49..aeeef008 100644 --- a/Fred2/IO/ADBAdapter.py +++ b/Fred2/IO/ADBAdapter.py @@ -21,9 +21,7 @@ EIdentifierTypes = (lambda **enums: type('Enum', (), enums))(ENSEMBL=0, REFSEQ=1, PREDREFSEQ=2, UNIPROT=3, GENENAME=4, HGNC=4) -class ADBAdapter: - - __metaclass__ = ABCMeta +class ADBAdapter(metaclass=ABCMeta): @abstractmethod def get_product_sequence(self, product_id, **kwargs): diff --git a/Fred2/IO/EnsemblAdapter.py b/Fred2/IO/EnsemblAdapter.py index 47292547..cb8edf21 100755 --- a/Fred2/IO/EnsemblAdapter.py +++ b/Fred2/IO/EnsemblAdapter.py @@ -62,14 +62,14 @@ def read_seqs(self, sequence_file): recs = SeqIO.to_dict(sequence_file) if recs: self.collection.update(recs) - self.searchstring = '#'.join([str(x.seq) for x in self.collection.values()]).decode('ascii') - self.accs = self.collection.keys() + self.searchstring = '#'.join([str(x.seq) for x in list(self.collection.values())]).decode('ascii') + self.accs = list(self.collection.keys()) self.idx = list() self.idx.append(0) for i, v in enumerate(self.collection.values()): - self.idx.append(1 + self.idx[-1] + len(self.collection.values()[i].seq)) + self.idx.append(1 + self.idx[-1] + len(list(self.collection.values())[i].seq)) - for i in recs.items(): + for i in list(recs.items()): ensg = None enst = None ensp = None @@ -214,7 +214,7 @@ def write_seqs(self, name): :param str name: The complete path with file name where the fasta is going to be written """ with open(name, "w") as output: - SeqIO.write(self.collection.values(), output, "fasta") + SeqIO.write(list(self.collection.values()), output, "fasta") def exists(self, seq): """ @@ -258,7 +258,7 @@ def search(self, seq): if index >= 0: j = bisect.bisect(self.idx, index) - 1 ids[i] = self.accs[j] - return dict(zip(seq, ids)) + return dict(list(zip(seq, ids))) return None def search_all(self, seq): @@ -303,5 +303,5 @@ def search_all(self, seq): else: ids[i] = ids[i] + ',' + self.accs[j] index += searchstring_length - return dict(zip(seq, ids)) + return dict(list(zip(seq, ids))) return None \ No newline at end of file diff --git a/Fred2/IO/FileReader.py b/Fred2/IO/FileReader.py index 9c89c9ae..c182bc4d 100644 --- a/Fred2/IO/FileReader.py +++ b/Fred2/IO/FileReader.py @@ -41,7 +41,7 @@ def read_fasta(files, in_type=Peptide, id_position=1): :raises ValueError: if a file is not readable """ - if isinstance(files, basestring): + if isinstance(files, str): files = [files] else: if any(not os.path.exists(f) for f in files): @@ -88,7 +88,7 @@ def read_lines(files, in_type=Peptide): :raises IOError: if a file is not readable """ - if isinstance(files, basestring): + if isinstance(files, str): files = [files] else: if any(not os.path.exists(f) for f in files): @@ -138,8 +138,7 @@ def read_annovar_exonic(annovar_file, gene_filter=None, experimentalDesig=None): ('frameshift', 'insertion'): VariationType.FSINS} with open(annovar_file, "r") as f: for line in f: - mut_id, mut_type, line, chrom, genome_start, genome_stop, ref, alt, zygos = map(lambda x: x.strip().lower(), - line.split("\t")[:9]) + mut_id, mut_type, line, chrom, genome_start, genome_stop, ref, alt, zygos = [x.strip().lower() for x in line.split("\t")[:9]] #print ref, alt #test if its a intersting snp diff --git a/Fred2/IO/MartsAdapter.py b/Fred2/IO/MartsAdapter.py index 6248f818..4dcd8f45 100755 --- a/Fred2/IO/MartsAdapter.py +++ b/Fred2/IO/MartsAdapter.py @@ -8,7 +8,7 @@ """ import csv -import urllib2 +import urllib.request, urllib.error, urllib.parse import warnings import logging import pymysql.cursors @@ -101,8 +101,8 @@ def get_product_sequence(self, product_id, **kwargs): + self.biomart_tail # logging.warn(rq_n) - tsvreader = csv.DictReader(urllib2.urlopen(self.biomart_url - + urllib2.quote(rq_n)).read().splitlines(), dialect='excel-tab') + tsvreader = csv.DictReader(urllib.request.urlopen(self.biomart_url + + urllib.parse.quote(rq_n)).read().splitlines(), dialect='excel-tab') tsvselect = [x for x in tsvreader] if not tsvselect: logging.warn("There seems to be no Proteinsequence for " + str(product_id)) @@ -153,8 +153,8 @@ def get_transcript_sequence(self, transcript_id, **kwargs): + self.biomart_attribute%("strand") \ + self.biomart_tail - tsvreader = csv.DictReader(urllib2.urlopen(self.biomart_url + - urllib2.quote(rq_n)).read().splitlines(), dialect='excel-tab') + tsvreader = csv.DictReader(urllib.request.urlopen(self.biomart_url + + urllib.parse.quote(rq_n)).read().splitlines(), dialect='excel-tab') tsvselect = [x for x in tsvreader] if not tsvselect: logging.warn("There seems to be no transcript sequence for " + str(transcript_id)) @@ -204,7 +204,7 @@ def get_transcript_information(self, transcript_id, **kwargs): + self.biomart_attribute%("strand") \ + self.biomart_tail - tsvreader = csv.DictReader(urllib2.urlopen(self.biomart_url+urllib2.quote(rq_n)).read().splitlines(), dialect='excel-tab') + tsvreader = csv.DictReader(urllib.request.urlopen(self.biomart_url+urllib.parse.quote(rq_n)).read().splitlines(), dialect='excel-tab') tsvselect = [x for x in tsvreader] if not tsvselect: logging.warn("No Information on transcript %s"%transcript_id) @@ -270,10 +270,10 @@ def get_transcript_position(self, transcript_id, start, stop, **kwargs): + self.biomart_attribute%("cds_end") \ + self.biomart_tail - tsvreader = csv.DictReader((urllib2.urlopen(self.biomart_url + - urllib2.quote(rq_n)).read()).splitlines(), dialect='excel-tab') + tsvreader = csv.DictReader((urllib.request.urlopen(self.biomart_url + + urllib.parse.quote(rq_n)).read()).splitlines(), dialect='excel-tab') exons = [ex for ex in tsvreader if ex["CDS start"] and ex["CDS end"]] - cds = [dict([k, int(v)] for k, v in e.iteritems()) for e in exons] # cast to int + cds = [dict([k, int(v)] for k, v in e.items()) for e in exons] # cast to int cds = sorted(cds, key=itemgetter("CDS start")) #sort by CDS Start(position in the CDS) cds_sum = 0 @@ -291,8 +291,8 @@ def get_transcript_position(self, transcript_id, start, stop, **kwargs): if not cds_sum < sc < ec: logging.warn("unable to follow the CDS, aborting genome-positional lookup in transcript!") - print exons - print cds + print(exons) + print(cds) return None #after sorting and filtering if this occurs points to corrupt data in mart @@ -342,8 +342,8 @@ def get_gene_by_position(self, chrom, start, stop, **kwargs): + self.biomart_attribute%("external_gene_name") \ + self.biomart_tail - tsvreader = csv.DictReader((urllib2.urlopen(self.biomart_url + - urllib2.quote(rq_n)).read()).splitlines(), dialect='excel-tab') + tsvreader = csv.DictReader((urllib.request.urlopen(self.biomart_url + + urllib.parse.quote(rq_n)).read()).splitlines(), dialect='excel-tab') tsvselect = [x for x in tsvreader] if tsvselect and tsvselect[0]: self.gene_proxy[str(chrom) + str(start) + str(stop)] = tsvselect[0]['Gene name'] @@ -392,7 +392,7 @@ def get_transcript_information_from_protein_id(self, product_id, **kwargs): + self.biomart_attribute%("strand") \ + self.biomart_tail - tsvreader = csv.DictReader(urllib2.urlopen(self.biomart_url+urllib2.quote(rq_n)).read().splitlines(), dialect='excel-tab') + tsvreader = csv.DictReader(urllib.request.urlopen(self.biomart_url+urllib.parse.quote(rq_n)).read().splitlines(), dialect='excel-tab') tsvselect = [x for x in tsvreader] if not tsvselect: warnings.warn("No entry found for id %s"%product_id) @@ -445,7 +445,7 @@ def get_variant_id_from_protein_id(self, transcript_id, **kwargs): + self.biomart_attribute%("peptide_location") \ + self.biomart_tail #tsvreader = csv.DictReader(urllib2.urlopen(self.new_biomart_url+urllib2.quote(rq_n)).read().splitlines(), dialect='excel-tab') #what? brachvogel? - tsvreader = csv.DictReader(urllib2.urlopen(self.biomart_url+urllib2.quote(rq_n)).read().splitlines(), dialect='excel-tab') + tsvreader = csv.DictReader(urllib.request.urlopen(self.biomart_url+urllib.parse.quote(rq_n)).read().splitlines(), dialect='excel-tab') tsvselect = [x for x in tsvreader] if not tsvselect: warnings.warn("No entry found for id %s"%transcript_id) @@ -494,8 +494,8 @@ def get_ensembl_ids_from_id(self, gene_id, **kwargs): + self.biomart_attribute%("ensembl_transcript_id") \ + self.biomart_attribute%("ensembl_peptide_id") \ + self.biomart_tail - tsvreader = csv.DictReader(urllib2.urlopen(self.biomart_url + - urllib2.quote(rq_n)).read().splitlines(), dialect='excel-tab') + tsvreader = csv.DictReader(urllib.request.urlopen(self.biomart_url + + urllib.parse.quote(rq_n)).read().splitlines(), dialect='excel-tab') tsvselect = [x for x in tsvreader] if not tsvselect: logging.warn("No entry found for id %s"%gene_id) @@ -595,7 +595,7 @@ def get_variant_ids(self, **kwargs): # logging.warning(rq_n) - tsvreader = csv.DictReader((urllib2.urlopen(self.biomart_url+urllib2.quote(rq_n)).read()).splitlines(), dialect='excel-tab') + tsvreader = csv.DictReader((urllib.request.urlopen(self.biomart_url+urllib.parse.quote(rq_n)).read()).splitlines(), dialect='excel-tab') if ensemble_only: result = {x['Ensembl Gene ID']+x['Ensembl Transcript ID']+x['Ensembl Protein ID']: x for x in tsvreader} else: @@ -614,7 +614,7 @@ def get_variant_ids(self, **kwargs): + self.biomart_attribute%("strand") \ + self.biomart_tail - tsvreader = csv.DictReader((urllib2.urlopen(self.biomart_url+urllib2.quote(rq_x)).read()).splitlines(), dialect='excel-tab') + tsvreader = csv.DictReader((urllib.request.urlopen(self.biomart_url+urllib.parse.quote(rq_x)).read()).splitlines(), dialect='excel-tab') result2 = {x['Ensembl Gene ID']+x['Ensembl Transcript ID']+x['Ensembl Protein ID']: x for x in tsvreader if (x['RefSeq Predicted Protein ID [e.g. XP_001720922]'] and x['RefSeq mRNA predicted [e.g. XM_001125684]']) @@ -622,11 +622,11 @@ def get_variant_ids(self, **kwargs): result.update(result2) g = None - for k, v in result.iteritems(): + for k, v in result.items(): if 'uniprot_swissprot' in v: g = v['uniprot_swissprot'] - self.ids_proxy[g] = result.values() - return result.values() + self.ids_proxy[g] = list(result.values()) + return list(result.values()) #TODO: refactor ... function based on old code def get_all_variant_ids(self, **kwargs): @@ -655,8 +655,8 @@ def get_all_variant_ids(self, **kwargs): # + self.biomart_filter%("start", kwargs['start']) \ # + self.biomart_filter%("end", kwargs['stop']) elif 'genes' in kwargs: - queries = [self.biomart_filter%("uniprot_genename", ','.join(kwargs['genes'][x:x+250])) for x in xrange(0, len(kwargs['genes']), 250)] - logging.warning('***'+self.biomart_filter%("uniprot_genename", ','.join(kwargs['genes'][x:x+250])) for x in xrange(0, len(kwargs['genes']), 250)) + queries = [self.biomart_filter%("uniprot_genename", ','.join(kwargs['genes'][x:x+250])) for x in range(0, len(kwargs['genes']), 250)] + logging.warning('***'+self.biomart_filter%("uniprot_genename", ','.join(kwargs['genes'][x:x+250])) for x in range(0, len(kwargs['genes']), 250)) else: logging.warning("wrong arguments to get_variant_ids") for query in queries: @@ -676,7 +676,7 @@ def get_all_variant_ids(self, **kwargs): # logging.warning(rq_n) try: - tsvreader = csv.DictReader((urllib2.urlopen(self.biomart_url+urllib2.quote(rq_n)).read()).splitlines(), dialect='excel-tab') + tsvreader = csv.DictReader((urllib.request.urlopen(self.biomart_url+urllib.parse.quote(rq_n)).read()).splitlines(), dialect='excel-tab') if ensemble_only: result = {x['Ensembl Gene ID']+x['Ensembl Transcript ID']+x['Ensembl Protein ID']: x for x in tsvreader} else: @@ -699,7 +699,7 @@ def get_all_variant_ids(self, **kwargs): + self.biomart_tail try: - tsvreader = csv.DictReader((urllib2.urlopen(self.biomart_url+urllib2.quote(rq_x)).read()).splitlines(), dialect='excel-tab') + tsvreader = csv.DictReader((urllib.request.urlopen(self.biomart_url+urllib.parse.quote(rq_x)).read()).splitlines(), dialect='excel-tab') for x in tsvreader: if (x['RefSeq Predicted Protein ID [e.g. XP_001720922]'] and x['RefSeq mRNA predicted [e.g. XM_001125684]']): @@ -716,4 +716,4 @@ def get_all_variant_ids(self, **kwargs): # if 'uniprot_swissprot' in v: # g = v['uniprot_swissprot'] # self.ids_proxy[g] = result.values() - return end_result.values() + return list(end_result.values()) diff --git a/Fred2/IO/RefSeqAdapter.py b/Fred2/IO/RefSeqAdapter.py index b572a5e8..f0d959da 100644 --- a/Fred2/IO/RefSeqAdapter.py +++ b/Fred2/IO/RefSeqAdapter.py @@ -28,14 +28,14 @@ def load(self, filename): try: with open(filename, "rU") as f: for record in SeqIO.parse(f, "fasta"): - ridv = filter(None, record.id.split('|'))[-1] # NP_001639.1 + ridv = [_f for _f in record.id.split('|') if _f][-1] # NP_001639.1 rid = ridv.split('.')[0] # NP_001639 if rid not in refseq_records: refseq_records[rid] = record refseq_records[rid].dbxrefs.append(ridv) refseq_records[rid].id = rid else: - print 'claaaash!!' # TODO no clashes in v.66 but ever?! use logging.warning or something + print('claaaash!!') # TODO no clashes in v.66 but ever?! use logging.warning or something except: pass return refseq_records diff --git a/Fred2/IO/UniProtAdapter.py b/Fred2/IO/UniProtAdapter.py index 9c374eed..4c22179d 100644 --- a/Fred2/IO/UniProtAdapter.py +++ b/Fred2/IO/UniProtAdapter.py @@ -64,12 +64,12 @@ def read_seqs(self, sequence_file): recs = SeqIO.to_dict(sequence_file) if recs: self.collection.update(recs) - self.searchstring = '#'.join([str(x.seq) for x in self.collection.values()]).decode('ascii') - self.accs = self.collection.keys() + self.searchstring = '#'.join([str(x.seq) for x in list(self.collection.values())]).decode('ascii') + self.accs = list(self.collection.keys()) self.idx = list() self.idx.append(0) for i, v in enumerate(self.collection.values()): - self.idx.append(1 + self.idx[-1] + len(self.collection.values()[i].seq)) + self.idx.append(1 + self.idx[-1] + len(list(self.collection.values())[i].seq)) return def write_seqs(self, name): @@ -79,7 +79,7 @@ def write_seqs(self, name): :param name: the complete path with file name where the fasta is going to be written """ with open(name, "w") as output: - SeqIO.write(self.collection.values(), output, "fasta") + SeqIO.write(list(self.collection.values()), output, "fasta") def exists(self, seq): """ @@ -120,7 +120,7 @@ def search(self, seq): if index >= 0: j = bisect.bisect(self.idx, index) - 1 ids[i] = self.accs[j] - return dict(zip(seq, ids)) + return dict(list(zip(seq, ids))) return None def search_all(self, seq): @@ -163,5 +163,5 @@ def search_all(self, seq): else: ids[i] = ids[i] + ',' + self.accs[j] index += searchstring_length - return dict(zip(seq, ids)) + return dict(list(zip(seq, ids))) return None \ No newline at end of file diff --git a/Fred2/LICENSE b/Fred2/LICENSE deleted file mode 100644 index 1611cc79..00000000 --- a/Fred2/LICENSE +++ /dev/null @@ -1,30 +0,0 @@ -Copyright (c) 2014, Benjamin Schuber, Philipp Brachvogel, Mathias Walzer, -Andras Szolek, Magdalena Feldhahn, Pierre Dönnes, Philipp Thiel -and Oliver Kohlbacher-- Eberhard Karls University Tuebingen. -All rights reserved. - -Redistribution and use in source and binary forms, with or without -modification, are permitted provided that the following conditions are met: - -* Redistributions of source code must retain the above copyright notice, this - list of conditions and the following disclaimer. - -* Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. - -* Neither the name of the University of Tübingen nor the names of its - contributors may be used to endorse or promote products derived from - this software without specific prior written permission. - -THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" -AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE -IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE -DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE -FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL -DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR -SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER -CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, -OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE -OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - diff --git a/Fred2/TAPPrediction/PSSM.py b/Fred2/TAPPrediction/PSSM.py index 22302df1..90833c3d 100644 --- a/Fred2/TAPPrediction/PSSM.py +++ b/Fred2/TAPPrediction/PSSM.py @@ -45,7 +45,7 @@ def __load_model(length): pep_seqs[str(p)] = p result = {self.name: {}} - pep_groups = pep_seqs.keys() + pep_groups = list(pep_seqs.keys()) pep_groups.sort(key=len) for length, peps in itertools.groupby(pep_groups, key=len): try: @@ -149,7 +149,7 @@ def __load_model(length): pep_seqs[str(p)] = p result = {self.name: {}} - pep_groups = pep_seqs.keys() + pep_groups = list(pep_seqs.keys()) pep_groups.sort(key=len) for length, peps in itertools.groupby(pep_groups, key=len): if length < 9: @@ -166,7 +166,7 @@ def __load_model(length): if length <= 9: score = sum(pssm[i].get(aa, 0.0) for i, aa in enumerate(p)) else: - score = sum(pssm[i].get(p[i], 0.0) for i in xrange(3))+pssm[8].get(p[-1], 0.0) + score = sum(pssm[i].get(p[i], 0.0) for i in range(3))+pssm[8].get(p[-1], 0.0) result[self.name][pep_seqs[p]] = score if not result[self.name]: diff --git a/Fred2/TAPPrediction/SVM.py b/Fred2/TAPPrediction/SVM.py index 44f694b4..dfd1b0f8 100644 --- a/Fred2/TAPPrediction/SVM.py +++ b/Fred2/TAPPrediction/SVM.py @@ -45,7 +45,7 @@ def predict(self, peptides, **kwargs): chunksize = kwargs['chunks'] result = {self.name: {}} - pep_groups = pep_seqs.keys() + pep_groups = list(pep_seqs.keys()) pep_groups.sort(key=len) for length, peps in itertools.groupby(pep_groups, key=len): #load svm model @@ -54,14 +54,14 @@ def predict(self, peptides, **kwargs): continue peps = list(peps) - for i in xrange(0, len(peps), chunksize): + for i in range(0, len(peps), chunksize): encoding = self.encode(peps[i:i+chunksize]) model_path = pkg_resources.resource_filename("Fred2.Data.svms.%s"%self.name, "%s_%i"%(self.name, length)) model = svmlight.read_model(model_path) - pred = svmlight.classify(model, encoding.values()) - for pep, score in itertools.izip(encoding.keys(), pred): + pred = svmlight.classify(model, list(encoding.values())) + for pep, score in zip(list(encoding.keys()), pred): result[self.name][pep_seqs[pep]] = score if not result[self.name]: diff --git a/Fred2/TAPPrediction/__init__.py b/Fred2/TAPPrediction/__init__.py index 928a0c45..6c15e542 100644 --- a/Fred2/TAPPrediction/__init__.py +++ b/Fred2/TAPPrediction/__init__.py @@ -45,4 +45,4 @@ def available_methods(): :return: dict(str, list(str)) - A dictionary of TAP predictors represented as string and supported versions """ - return {k:sorted(versions.iterkeys()) for k,versions in ATAPPrediction.registry.iteritems()} \ No newline at end of file + return {k:sorted(versions.keys()) for k,versions in ATAPPrediction.registry.items()} \ No newline at end of file diff --git a/Fred2/doc/Fred2.CleavagePrediction.rst b/Fred2/doc/Fred2.CleavagePrediction.rst deleted file mode 100644 index 132ad530..00000000 --- a/Fred2/doc/Fred2.CleavagePrediction.rst +++ /dev/null @@ -1,30 +0,0 @@ -Fred2.CleavagePrediction Module -=============================== - - -CleavagePrediction.External ---------------------------- - -.. automodule:: Fred2.CleavagePrediction.External - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - -CleavagePrediction.PSSM ------------------------ - -.. automodule:: Fred2.CleavagePrediction.PSSM - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - -Module contents ---------------- - -.. automodule:: Fred2.CleavagePrediction - :members: - :undoc-members: - :show-inheritance: - :inherited-members: diff --git a/Fred2/doc/Fred2.Core.rst b/Fred2/doc/Fred2.Core.rst deleted file mode 100644 index 7404905b..00000000 --- a/Fred2/doc/Fred2.Core.rst +++ /dev/null @@ -1,77 +0,0 @@ -Fred2.Core Module -================= - - -Core.Allele ------------ - -.. automodule:: Fred2.Core.Allele - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - - -Core.Base ---------- - -.. automodule:: Fred2.Core.Base - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - -Core.Generator --------------- - -.. automodule:: Fred2.Core.Generator - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - -Core.Peptide ------------- - -.. automodule:: Fred2.Core.Peptide - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - -Core.Protein ------------- - -.. automodule:: Fred2.Core.Protein - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - - -Core.Result ------------ - -.. automodule:: Fred2.Core.Result - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - -Core.Transcript ---------------- - -.. automodule:: Fred2.Core.Transcript - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - -Core.Variant ------------- - -.. automodule:: Fred2.Core.Variant - :members: - :undoc-members: - :show-inheritance: - :inherited-members: diff --git a/Fred2/doc/Fred2.Distance2Self.rst b/Fred2/doc/Fred2.Distance2Self.rst deleted file mode 100644 index 2815af02..00000000 --- a/Fred2/doc/Fred2.Distance2Self.rst +++ /dev/null @@ -1,33 +0,0 @@ -Fred2.Distance2Self package -=========================== - -Submodules ----------- - -Fred2.Distance2Self.Distance2Self module ----------------------------------------- - -.. automodule:: Fred2.Distance2Self.Distance2Self - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - -Fred2.Distance2Self.DistanceMatrix module ------------------------------------------ - -.. automodule:: Fred2.Distance2Self.DistanceMatrix - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - - -Module contents ---------------- - -.. automodule:: Fred2.Distance2Self - :members: - :undoc-members: - :show-inheritance: - :inherited-members: diff --git a/Fred2/doc/Fred2.EpitopeAssembly.rst b/Fred2/doc/Fred2.EpitopeAssembly.rst deleted file mode 100644 index 021d1005..00000000 --- a/Fred2/doc/Fred2.EpitopeAssembly.rst +++ /dev/null @@ -1,21 +0,0 @@ -Fred2.EpitopeAssembly Module -============================ - - -EpitopeAssembly.EpitopeAssembly -------------------------------- - -.. automodule:: Fred2.EpitopeAssembly.EpitopeAssembly - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - -EpitopeAssembly.MosaicVaccine ------------------------------ - -.. automodule:: Fred2.EpitopeAssembly.MosaicVaccine - :members: - :undoc-members: - :show-inheritance: - :inherited-members: diff --git a/Fred2/doc/Fred2.EpitopePrediction.rst b/Fred2/doc/Fred2.EpitopePrediction.rst deleted file mode 100644 index 3b8d524c..00000000 --- a/Fred2/doc/Fred2.EpitopePrediction.rst +++ /dev/null @@ -1,40 +0,0 @@ -Fred2.EpitopePrediction Module -============================== - - -EpitopePrediction.External --------------------------- - -.. automodule:: Fred2.EpitopePrediction.External - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - -EpitopePrediction.PSSM ----------------------- - -.. automodule:: Fred2.EpitopePrediction.PSSM - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - -EpitopePrediction.SVM ---------------------- - -.. automodule:: Fred2.EpitopePrediction.SVM - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - -Module contents ---------------- - -.. automodule:: Fred2.EpitopePrediction - :members: - :undoc-members: - :undoc-members: - :show-inheritance: - :inherited-members: diff --git a/Fred2/doc/Fred2.EpitopeSelection.rst b/Fred2/doc/Fred2.EpitopeSelection.rst deleted file mode 100644 index f9bf9bc4..00000000 --- a/Fred2/doc/Fred2.EpitopeSelection.rst +++ /dev/null @@ -1,11 +0,0 @@ -Fred2.EpitopeSelection Module -============================= - -EpitopeSelection.OptiTope -------------------------- - -.. automodule:: Fred2.EpitopeSelection.OptiTope - :members: - :undoc-members: - :show-inheritance: - :inherited-members: diff --git a/Fred2/doc/Fred2.HLATyping.rst b/Fred2/doc/Fred2.HLATyping.rst deleted file mode 100644 index d17b442e..00000000 --- a/Fred2/doc/Fred2.HLATyping.rst +++ /dev/null @@ -1,12 +0,0 @@ -Fred2.HLAtyping Module -====================== - - -HLAtyping.External ------------------- - -.. automodule:: Fred2.HLAtyping.External - :members: - :undoc-members: - :show-inheritance: - :inherited-members: diff --git a/Fred2/doc/Fred2.IO.rst b/Fred2/doc/Fred2.IO.rst deleted file mode 100644 index b685ace3..00000000 --- a/Fred2/doc/Fred2.IO.rst +++ /dev/null @@ -1,57 +0,0 @@ -Fred2.IO Module -=============== - - -IO.ADBAdapter -------------- - -.. automodule:: Fred2.IO.ADBAdapter - :members: - :undoc-members: - :undoc-members: - :show-inheritance: - -IO.EnsemblAdapter ------------------ - -.. automodule:: Fred2.IO.EnsemblAdapter - :members: - :undoc-members: - :undoc-members: - :show-inheritance: - -IO.FileReader -------------- - -.. automodule:: Fred2.IO.FileReader - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - -IO.MartsAdapter ---------------- - -.. automodule:: Fred2.IO.MartsAdapter - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - -IO.RefSeqAdapter ----------------- - -.. automodule:: Fred2.IO.RefSeqAdapter - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - -IO.UniProtAdapter ------------------ - -.. automodule:: Fred2.IO.UniProtAdapter - :members: - :undoc-members: - :show-inheritance: - :inherited-members: diff --git a/Fred2/doc/Fred2.TAPPrediction.rst b/Fred2/doc/Fred2.TAPPrediction.rst deleted file mode 100644 index a401b517..00000000 --- a/Fred2/doc/Fred2.TAPPrediction.rst +++ /dev/null @@ -1,31 +0,0 @@ -Fred2.TAPPrediction Module -========================== - - -TAPPrediction.PSSM ------------------- - -.. automodule:: Fred2.TAPPrediction.PSSM - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - -TAPPrediction.SVM ------------------ - -.. automodule:: Fred2.TAPPrediction.SVM - :members: - :undoc-members: - :show-inheritance: - :inherited-members: - - -Module contents ---------------- - -.. automodule:: Fred2.TAPPrediction - :members: - :undoc-members: - :show-inheritance: - :inherited-members: diff --git a/Fred2/doc/Fred2.rst b/Fred2/doc/Fred2.rst deleted file mode 100644 index b8b63fba..00000000 --- a/Fred2/doc/Fred2.rst +++ /dev/null @@ -1,33 +0,0 @@ - - -===== -Basic -===== -.. toctree:: - Fred2.Core - Fred2.IO - -========== -Prediction -========== -.. toctree:: - Fred2.CleavagePrediction - Fred2.TAPPrediction - Fred2.EpitopePrediction - -============== -Vaccine Design -============== -.. toctree:: - Fred2.EpitopeSelection - Fred2.EpitopeAssembly - -========== -HLA Typing -========== -.. toctree:: - Fred2.HLATyping - - - - diff --git a/Fred2/doc/Makefile b/Fred2/doc/Makefile deleted file mode 100644 index 087fdda5..00000000 --- a/Fred2/doc/Makefile +++ /dev/null @@ -1,192 +0,0 @@ -# Makefile for Sphinx documentation -# - -# You can set these variables from the command line. -SPHINXOPTS = -SPHINXBUILD = sphinx-build -PAPER = -BUILDDIR = _build - -# User-friendly check for sphinx-build -ifeq ($(shell which $(SPHINXBUILD) >/dev/null 2>&1; echo $$?), 1) -$(error The '$(SPHINXBUILD)' command was not found. 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J;5Vs`{TB{TTmS$7 diff --git a/Fred2/doc/_build/html/.buildinfo b/Fred2/doc/_build/html/.buildinfo deleted file mode 100644 index 54702e66..00000000 --- a/Fred2/doc/_build/html/.buildinfo +++ /dev/null @@ -1,4 +0,0 @@ -# Sphinx build info version 1 -# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 1311190adfee85b101600347c97f3ee3 -tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/Fred2/doc/_build/html/Fred2.CleavagePrediction.html b/Fred2/doc/_build/html/Fred2.CleavagePrediction.html deleted file mode 100644 index 066dd4f7..00000000 --- a/Fred2/doc/_build/html/Fred2.CleavagePrediction.html +++ /dev/null @@ -1,505 +0,0 @@ - - - - - - - - Fred2.CleavagePrediction package — Fred2 documentation - - - - - - - - - - - - - - - - - - -

- -
-
-
-
- -
-

Fred2.CleavagePrediction package¶

-
-

Submodules¶

-
-
-

Fred2.CleavagePrediction.External module¶

-
-
-class Fred2.CleavagePrediction.External.NetChop_3_1[source]¶
-

Bases: Fred2.Core.Base.ACleavageSitePrediction, Fred2.Core.Base.AExternal

-

Implements NetChop Cleavage Site Prediction (v. 3.1)

-
-
-cleavagePos¶
-
- -
-
-command¶
-
- -
-
-get_external_version(path=None)[source]¶
-
- -
-
-name¶
-
- -
-
-parse_external_result(_file)[source]¶
-
- -
-
-predict(_aa_seq, **kwargs)[source]¶
-
- -
-
-prepare_peptide_input(_peptides, _file)[source]¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-

Fred2.CleavagePrediction.PSSM module¶

-
-
-class Fred2.CleavagePrediction.PSSM.APSSMCleavageFragmentPredictor[source]¶
-

Bases: Fred2.Core.Base.ACleavageFragmentPrediction

-

Abstract base class for PSSM predictions.

-

This implementation only supports cleavage fragment prediction not site prediction

-

Implements predict functionality

-
-
-predict(peptides, **kwargs)[source]¶
-

Takes peptides plus their trailing C and N-terminal residues to predict -the probability that this 9mer was produced by proteasomal cleavage. It returns the score and -the peptide sequence in a AResult object. Row-IDs are the peitopes column is the prediction score.

- --- - - - - - -
Parameters:
    -
  • _aa_seq
  • -
  • kwargs
  • -
-
Returns:

-
-
- -
-
-trailingN¶
-

returns the number of trailing residues at the N terminal of the peptide used for prediction

- --- - - - -
Returns:
-
- -
-
-tralingC¶
-

returns the number of trailing residues at the N terminal of the peptide used for prediction

- --- - - - -
Returns:
-
- -
- -
-
-class Fred2.CleavagePrediction.PSSM.APSSMCleavageSitePredictor[source]¶
-

Bases: Fred2.Core.Base.ACleavageSitePrediction

-

Abstract base class for PSSM predictions.

-

This implementation only supports cleavage site prediction not fragment prediction

-

Implements predict functionality

-
-
-predict(aa_seq, length=None, **kwargs)[source]¶
-

Returns predictions for given peptides an alleles. If no alleles are given, predictions for all available models -are made.

- --- - - - - - -
Parameters:
    -
  • peptides (list(Peptide)/Peptide) – A single Peptide or a list of Peptides
  • -
  • kwargs – optional parameter (not used yet)
  • -
-
Returns:

Returns a AResult object with the prediction results

-
-
- -
- -
-
-class Fred2.CleavagePrediction.PSSM.PCM[source]¶
-

Bases: Fred2.CleavagePrediction.PSSM.APSSMCleavageSitePredictor

-

Implements the PCM cleavage prediction method

- --- - - - - -
Input list(Peptide) peptides:
 list of peptides for which cleave probability prediction should be performed
-
-
-cleavagePos¶
-
- -
-
-name¶
-
- -
-
-predict(peptides, **kwargs)[source]¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.CleavagePrediction.PSSM.PSSMGinodi[source]¶
-

Bases: Fred2.CleavagePrediction.PSSM.APSSMCleavageFragmentPredictor

-

Implements the Cleavage Fragment prediction method of Ginodi et al.

-

Ido Ginodi, Tal Vider-Shalit, Lea Tsaban, and Yoram Louzoun -Precise score for the prediction of peptides cleaved by the proteasome -Bioinformatics (2008) 24 (4): 477-483

-
-
-cleavagePos¶
-
- -
-
-name¶
-
- -
-
-predict(peptides, **kwargs)[source]¶
-
- -
-
-supportedLength¶
-
- -
-
-trailingN¶
-
- -
-
-tralingC¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.CleavagePrediction.PSSM.ProteaSMMConsecutive[source]¶
-

Bases: Fred2.CleavagePrediction.PSSM.APSSMCleavageSitePredictor

-

Implements the ProteaSMM cleavage prediction method

-

Tenzer, S., et al. “Modeling the MHC class I pathway by combining predictions of proteasomal cleavage, -TAP transport and MHC class I binding.” Cellular and Molecular Life Sciences CMLS 62.9 (2005): 1025-1037.

-

This model represents the consecutive proteasom

-

The matrices are generated not using the preon-dataset since a reacent study has show that including those -worsened the results. See

-

Calis, Jorg JA, et al. “Role of peptide processing predictions in T cell epitope identification: -contribution of different prediction programs.” Immunogenetics (2014): 1-9.

- --- - - - - -
Input list(Peptide) peptides:
 list of peptides for which cleave probability prediction should be performed
-
-
-cleavagePos¶
-
- -
-
-name¶
-
- -
-
-predict(peptides, **kwargs)[source]¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.CleavagePrediction.PSSM.ProteaSMMImmuno[source]¶
-

Bases: Fred2.CleavagePrediction.PSSM.APSSMCleavageSitePredictor

-

Implements the ProteaSMM cleavage prediction method

-

Tenzer, S., et al. “Modeling the MHC class I pathway by combining predictions of proteasomal cleavage, -TAP transport and MHC class I binding.” Cellular and Molecular Life Sciences CMLS 62.9 (2005): 1025-1037.

-

This model represents the immuno proteasom

-

The matrices are generated not using the preon-dataset since a reacent study has show that including those -worsened the results. See

-

Calis, Jorg JA, et al. “Role of peptide processing predictions in T cell epitope identification: -contribution of different prediction programs.” Immunogenetics (2014): 1-9.

- --- - - - - -
Input list(Peptide) peptides:
 list of peptides for which cleave probability prediction should be performed
-
-
-cleavagePos¶
-
- -
-
-name¶
-
- -
-
-predict(peptides, **kwargs)[source]¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-

Module contents¶

-
-
-class Fred2.CleavagePrediction.CleavageFragmentPredictorFactory[source]¶
-

Bases: object

-
-
-static available_methods()[source]¶
-

Returns a list of available cleavage fragment predictors

- --- - - - -
Returns:list of cleavage fragment predictors represented as string
-
- -
- -
-
-class Fred2.CleavagePrediction.CleavageSitePredictorFactory[source]¶
-

Bases: object

-
-
-static available_methods()[source]¶
-

Returns a list of available cleavage site predictors

- --- - - - -
Returns:list of cleavage site predictor represented as string
-
- -
- -
-
- - -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/Fred2.Core.html b/Fred2/doc/_build/html/Fred2.Core.html deleted file mode 100644 index 29e4f892..00000000 --- a/Fred2/doc/_build/html/Fred2.Core.html +++ /dev/null @@ -1,1179 +0,0 @@ - - - - - - - - Fred2.Core package — Fred2 documentation - - - - - - - - - - - - - - - - - - - - -
-
-
-
- -
-

Fred2.Core package¶

-
-

Submodules¶

-
-
-

Fred2.Core.Allele module¶

-
-
-class Fred2.Core.Allele.Allele(_name, prob=None)[source]¶
-

Bases: Fred2.Core.Base.MetadataLogger

-

This class represents an Allele and stores additional information as a -dictionary

- --- - - - -
Parameters:name (str) – the name of the MHC allele (new nomenclature A*01:01)
-
- -
-
-

Fred2.Core.Base module¶

-

https://docs.python.org/3/library/abc.html

-
-
-class Fred2.Core.Base.ACleavageFragmentPrediction[source]¶
-

Bases: object

-
-
-cleavagePos¶
-

parameter specifying the position of aa (within the prediction window) after which the sequence is cleaved

- --- - - - -
Returns:
-
- -
-
-name¶
-

Returns the name of the predictor

- --- - - - -
Returns:
-
- -
-
-predict(_aa_seq, **kwargs)[source]¶
-

Predicts the probability that the fragment can be produced by the proteasom

- --- - - - - - -
Parameters:_aa_seq (Bio.Seq) – The sequence to be cleaved (must be an instance of Bio.Seq
Returns:Returns a AResult object for the specified Bio.Seq
-
- -
-
-registry = {'ginodi': {'1.0': <class 'Fred2.CleavagePrediction.PSSM.PSSMGinodi'>}}¶
-
- -
-
-supportedLength¶
-

Returns the supported lengths of the predictor

- --- - - - -
Returns:list(int) - Supported peptide length
-
- -
-
-version¶
-

parameter specifying the version of the prediction method

-
- -
- -
-
-class Fred2.Core.Base.ACleavageSitePrediction[source]¶
-

Bases: object

-
-
-cleavagePos¶
-

parameter specifying the position of aa (within the prediction window) after which the sequence is cleaved -(starting from 1)

- --- - - - -
Returns:
-
- -
-
-name¶
-

Returns the name of the predictor

- --- - - - -
Returns:
-
- -
-
-predict(_aa_seq, **kwargs)[source]¶
-

Predicts the proteom cleavage site of the given sequences

- --- - - - - - -
Parameters:_aa_seq (Bio.Seq) – The sequence to be cleaved (must be an instance of Bio.Seq
Returns:Returns a AResult object for the specified Bio.Seq
-
- -
-
-registry = {'proteasmm_i': {'1.0': <class 'Fred2.CleavagePrediction.PSSM.ProteaSMMImmuno'>}, 'netchop': {'3.1': <class 'Fred2.CleavagePrediction.External.NetChop_3_1'>}, 'proteasmm_c': {'1.0': <class 'Fred2.CleavagePrediction.PSSM.ProteaSMMConsecutive'>}, 'pcm': {'1.0': <class 'Fred2.CleavagePrediction.PSSM.PCM'>}}¶
-
- -
-
-supportedLength¶
-

Returns the supported lengths of the predictor

- --- - - - -
Returns:list(int) - Supported peptide length
-
- -
-
-version¶
-

parameter specifying the version of the prediction method

-
- -
- -
-
-class Fred2.Core.Base.AEpitopePrediction[source]¶
-

Bases: object

-
-
-convert_alleles(alleles)[source]¶
-

Converts alleles into the interal allele representation of the predictor -and returns a string representation

- --- - - - - - -
Parameters:alleles (list(Allele)) – The alleles for which the internal predictor -representation is needed
Returns:Returns a string representation of the input alleles
-
- -
-
-name¶
-

Returns the name of the predictor

- --- - - - -
Returns:
-
- -
-
-predict(peptides, alleles=None, **kwargs)[source]¶
-

Predicts the binding affinity for a given peptide or peptide lists for a given list of alleles. -If alleles is not given, predictions for all valid alleles of the predictor is performed. If, however, -a list of alleles is given, predictions for the valid allele subset is performed.

- --- - - - - - -
Parameters:
    -
  • peptides (Peptide/list(Peptide)) – The peptide objects for which predictions should be performed
  • -
  • alleles (Allele/list(Allele)) – An Allele or list of Alleles for which prediction models should be used
  • -
-
Returns:

Returns a AResult object for the specified Peptides and Alleles

-
-
- -
-
-registry = {}¶
-
- -
-
-supportedAlleles¶
-

Returns a list of valid allele models

- --- - - - -
Returns:List of allele names for which the predictor provides models
-
- -
-
-supportedLength¶
-

Returns a list of supported peptide lenghts

- --- - - - -
Returns:List of supported peptide lengths
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.Core.Base.AExternal[source]¶
-

Bases: object

-

Base class for external tools

-
-
-command¶
-

defines the external execution path ? -:return:

-
- -
-
-get_external_version(path=None)[source]¶
-

Returns the external version of the tool by executing ->{command} –version

-

might be dependent on the method and has to be overwritten -therefore it is declared abstract to enforce the user to -overwrite the method. The function in the base class can be called -with super()

- --- - - - - - -
Parameters:path ((str)) –
    -
  • optional specification of executable path if deviant from self.__command
  • -
-
Returns:str - The external version of the tool
-
- -
-
-is_in_path()[source]¶
-

checks whether the specified execution command can be found in PATH

- --- - - - -
Returns:bool - Whether or not command could be found in PATH
-
- -
-
-parse_external_result(_file)[source]¶
-

Parses external NetMHC results and returns a AResult object

- --- - - - - - -
Parameters:_file (str) – The file path or the external prediction results
Returns:AResult - Returns a AResult object
-
- -
-
-prepare_peptide_input(_peptides, _file)[source]¶
-

Prepares sequence input for external tools -and writes them to _file in the specific format

-

NO return value!

- --- - - - - - -
Param:(list(str)) _peptides: the peptide sequences to write into _file
Parameters:_file ((File)) – File handler to input file for external tool
-
- -
- -
-
-class Fred2.Core.Base.APluginRegister(name, bases, nmspc)[source]¶
-

Bases: abc.ABCMeta

-

This class allows automatic registration of new plugins.

-
- -
-
-class Fred2.Core.Base.ASVM[source]¶
-

Bases: object

-

Base class for SVM prediction tools

-
-
-encode(peptides)[source]¶
-

Returns the feature encoding for peptides

- --- - - - - - -
Parameters:peptides (List(Peptide)/Peptide) – List oder Peptide object
Returns:list(Object) – Feature encoding of the Peptide objects
-
- -
- -
-
-class Fred2.Core.Base.ATAPPrediction[source]¶
-

Bases: object

-
-
-name¶
-

Returns the name of the predictor

- --- - - - -
Returns:
-
- -
-
-predict(peptides, **kwargs)[source]¶
-

Predicts the TAP affinity for the given sequences

- --- - - - - - -
Parameters:list(Peptide)/Peptide – Peptides for which TAP affinity should be predicted
Returns:Returns a TAPResult object
-
- -
-
-registry = {}¶
-
- -
-
-supportedLength¶
-

Returns the supported lengths of the predictor

- --- - - - -
Returns:list(int) - Supported peptide length
-
- -
-
-version¶
-

parameter specifying the version of the prediction method

-
- -
- -
-
-class Fred2.Core.Base.MetadataLogger[source]¶
-

Bases: object

-

This class provides a simple interface for assigning additional metadata to -any object in our data model. Examples: storing ANNOVAR columns like depth, -base count, dbSNP id, quality information for variants, prediction scores -for peptides etc. Normally used by custom toolbox functions and importers.

-

The saved values are accessed via log_metadata() and -get_metadata()

-
-
-get_metadata(label, only_first=False)[source]¶
-

Getter for the saved metadata with the key label

- --- - - - -
Parameters:
    -
  • label (str) – key for the metadata that is inferred
  • -
  • only_first (bool) – true if only the the first element of the -matadata list is to be returned
  • -
-
-
- -
-
-log_metadata(label, value)[source]¶
-

Inserts a new metadata

- --- - - - -
Parameters:
    -
  • label (str) – key for the metadata that will be added
  • -
  • value (list(object)) – any kindy of additional value that should be -kept
  • -
-
-
- -
- -
-
-

Fred2.Core.Generator module¶

-
-
-Fred2.Core.Generator.generate_peptides_from_protein(proteins, window_size, peptides=None)[source]¶
-

Creates all peptides for a given window size, from a given protein. The -result is a generator.

- --- - - - -
Parameters:
    -
  • proteins (Protein) – (list of) protein(s) from which a list of unique -peptides should be generated
  • -
  • window_size (int) – size of peptide fragments
  • -
-
-
- -
-
-Fred2.Core.Generator.generate_peptides_from_variants(vars, length, dbadapter)[source]¶
-

generates polymorphic peptides based on given variants

- --- - - - - - -
Parameters:
    -
  • vars (list(Variant)) – list of Variants
  • -
  • length (int) – length of peptides
  • -
  • dbadapter – DBAdapter to fetch the transcript sequences
  • -
-
Returns:

List(Peptide) – A list of polymorphic peptides

-
-
- -
-
-Fred2.Core.Generator.generate_proteins_from_transcripts(transcripts, table='Standard', stop_symbol='*', to_stop=False, cds=False)[source]¶
-

Enables the translation from a transcript to a protein instance

- --- - - - - - -
Param:list(Transcript)/Transcript - a list of transcripts to translate to proteins
Returns:(Protein) – the protein that corresponds to the transcript
-
- -
-
-Fred2.Core.Generator.generate_transcripts_from_tumor_variants(normal, tumor, dbadapter)[source]¶
-

generates all possible transcript variations of the given variants

- --- - - - - - -
Parameters:
    -
  • normal (list(Variant)) – A list of variants of the normal tissue
  • -
  • tumor (list(Variant)) – A list of variant of the cancer tissue for which transcript should be generated
  • -
  • dbadapter (ADBAdapter) – a DBAdapter to fetch the transcript sequences
  • -
-
Returns:

(Generator(Transcripts)) – a generator of transcripts with all -possible variations determined by the given -variant list

-
-
- -
-
-Fred2.Core.Generator.generate_transcripts_from_variants(vars, dbadapter)[source]¶
-

generates all possible transcript variations of the given variants

- --- - - - - - -
Parameters:
    -
  • vars (list(Variant)) – A list of variants for which transcripts should -be build
  • -
  • dbadapter (ADBAdapter) – a DBAdapter to fetch the transcript sequences
  • -
-
Returns:

(Generator(Transcripts)) – a generator of transcripts with all -possible variations determined by the given -variant list

-
-
- -
-
-

Fred2.Core.Peptide module¶

-
-
-class Fred2.Core.Peptide.Peptide(_seq, proteins=None, variants=None, transcripts=None)[source]¶
-

Bases: Fred2.Core.Base.MetadataLogger, Bio.Seq.Seq

-

This class encapsulates a Peptide, belonging to one or several Proteins.

-
-

Note

-

For accessing and manipulating the sequence see also Bio.Seq.Seq (from Biopython)

-
-
-
-get_all_proteins()[source]¶
-
- -
-
-get_all_transcripts()[source]¶
-
- -
-
-get_all_variants()[source]¶
-
--- - - - -
Returns:a concatenated list of all contained variants
-
- -
- -
-
-

Fred2.Core.Protein module¶

-
-
-class Fred2.Core.Protein.Protein(_seq, _gene_id='unknown', _transcript_id=None, _orig_transcript=None, _vars=None)[source]¶
-

Bases: Fred2.Core.Base.MetadataLogger, Bio.Seq.Seq

-

Protein corresponding to exactly one transcript.

-
-

Note

-

For accessing and manipulating the sequence see also Bio.Seq.Seq -(from Biopython)

-
- --- - - - -
Parameters:
    -
  • gene_id (str) – ID of the genome
  • -
  • transcript_id (str) – ID of the corresponding transcript
  • -
  • orig_transcript (Transcript) – Reference to the originating transcript
  • -
  • _vars (dict(int,list(Variant))) – Nonsynonymous variants that are -assoziated with the protein. -key=position within protein, -value=list of variants at that pos
  • -
-
-
-
-newid = <method-wrapper 'next' of itertools.count object>¶
-
- -
- -
-
-

Fred2.Core.Result module¶

-
-
-class Fred2.Core.Result.AResult(data=None, index=None, columns=None, dtype=None, copy=False)[source]¶
-

Bases: pandas.core.frame.DataFrame

-

A AResult object is a DataFrame with with multi-indexing.

-

This class is used as interface and can be extended with custom short-cuts for the sometimes often tedious -calls in pandas

-
-
-filter_result(expression)[source]¶
-

filter result based on a list of expressions

- --- - - - - - -
Parameters:expression – list((str,comparator,float)) expressions: A list of triples consisting of (method_name, comparator, threshold)
Returns:AResult
-
- -
-
-merge_results(others)[source]¶
-

Merges results of the same type and returns a merged result

- --- - - - - - -
Parameters:other (AResult) –
Returns:
-
- -
- -
-
-class Fred2.Core.Result.CleavageFragmentPredictionResult(data=None, index=None, columns=None, dtype=None, copy=False)[source]¶
-

Bases: Fred2.Core.Result.AResult

-

Epitope prediction result

-
-
-filter_result(expressions)[source]¶
-

filters a result data frame based on a specified expression consisting -of a list of triple with (method_name, comparator, threshold). The expression is applied to each row. If any of the -columns full fill the criteria the row remains.

- --- - - - - - -
Parameters:expressions (list((str,comparator,float))) – A list of triples consisting of (method_name, comparator, threshold)
Returns:filtered result object
-
- -
-
-merge_results(others)[source]¶
-
- -
- -
-
-class Fred2.Core.Result.CleavageSitePredictionResult(data=None, index=None, columns=None, dtype=None, copy=False)[source]¶
-

Bases: Fred2.Core.Result.AResult

-

Epitope prediction result

-
-
-filter_result(expressions)[source]¶
-

filters a result data frame based on a specified expression consisting -of a list of triple with (method_name, comparator, threshold). The expression is applied to each row. If any of the -columns full fill the criteria the row remains.

- --- - - - - - -
Parameters:expressions (list((str,comparator,float))) – A list of triples consisting of (method_name, comparator, threshold)
Returns:filtered result object
-
- -
-
-get_peptides(expression, length=9)[source]¶
-
- -
-
-merge_results(others)[source]¶
-
- -
- -
-
-class Fred2.Core.Result.Distance2SelfResult(data=None, index=None, columns=None, dtype=None, copy=False)[source]¶
-

Bases: Fred2.Core.Result.AResult

-

Distance2Self prediction result

-
-
-filter_result(expressions)[source]¶
-
- -
-
-merge_results(others)[source]¶
-
- -
- -
-
-class Fred2.Core.Result.EpitopePredictionResult(data=None, index=None, columns=None, dtype=None, copy=False)[source]¶
-

Bases: Fred2.Core.Result.AResult

-

A AResult object is a DataFrame with with multi-indexing, where column Id are the prediction model (i.e HLA allele -for epitope prediction), row ID the target of the prediction (i.e. peptide) and the second row ID the predictor -(i.e BIMAS)

-

Epitope prediction result

-
-
-filter_result(expressions)[source]¶
-

filters a result data frame based on a specified expression consisting -of a list of triple with (method_name, comparator, threshold). The expression is applied to each row. If any of the -columns full fill the criteria the row remains.

- --- - - - - - -
Parameters:expressions (list((str,comparator,float))) – A list of triples consisting of (method_name, comparator, threshold)
Returns:filtered result object
-
- -
-
-merge_results(others)[source]¶
-
- -
- -
-
-class Fred2.Core.Result.TAPPredictionResult(data=None, index=None, columns=None, dtype=None, copy=False)[source]¶
-

Bases: Fred2.Core.Result.AResult

-

Epitope prediction result

-
-
-filter_result(expressions)[source]¶
-

filters a result data frame based on a specified expression consisting -of a list of triple with (method_name, comparator, threshold). The expression is applied to each row. If any of the -columns full fill the criteria the row remains.

- --- - - - - - -
Parameters:expressions (list((str,comparator,float))) – A list of triples consisting of (method_name, comparator, threshold)
Returns:filtered result object
-
- -
-
-merge_results(others)[source]¶
-
- -
- -
-
-

Fred2.Core.Transcript module¶

-
-
-class Fred2.Core.Transcript.Transcript(_seq, _gene_id='unknown', _transcript_id=None, _vars=None)[source]¶
-

Bases: Fred2.Core.Base.MetadataLogger, Bio.Seq.Seq

-

A Transcript is the mRNA sequence containing at no or several variations.

-
-

Note

-

For accessing and manipulating the sequence see also Bio.Seq.Seq -(from Biopython)

-
- --- - - - -
Parameters:
    -
  • gene_id (str) – Genome ID
  • -
  • transcript_id (str) – Transcript RefSeqID
  • -
  • vars (dict(int,Variant)) – Dict of Variants for specific positions in -the transcript. key=position, value=Variant
  • -
-
-
-
-newid = <method-wrapper 'next' of itertools.count object>¶
-
- -
- -
-
-

Fred2.Core.Variant module¶

-
-
-class Fred2.Core.Variant.MutationSyntax(transID, transPos, protPos, cds, aas)[source]¶
-

This class represents the mutation syntax of a variant and stores its -transcript and protein position

- --- - - - -
Parameters:
    -
  • transID (str) – the transcript id
  • -
  • transPos (int) – the position of the variant within the transcript
  • -
  • protPos (int) – the protein position of the variant within the -transcript
  • -
  • cds (str) – the complete cds_mutation_syntax string
  • -
  • aas (str) – the complete protein_mutation_syntax string
  • -
-
-
- -
-
-class Fred2.Core.Variant.Variant(id, type, chrom, genomePos, ref, obs, coding, isHomozygous, isSynonymous, experimentalDesign=None, metadata=None)[source]¶
-

Bases: Fred2.Core.Base.MetadataLogger

-

A Variant contains information about a single genetic modification of -the reference genome.

- --- - - - -
Parameters:
    -
  • id (str) – Variant id
  • -
  • type (Enum.VariationType) – An Enum type of the variant either SNP, -DEL, or INS
  • -
  • chrom (str) – The chromosome on which the variant lies
  • -
  • genomePos (int) – The genomic position of the variant
  • -
  • ref (str) – The reference seq at the genomic position
  • -
  • obs (str) – The observed variation at the genomic position
  • -
  • coding (dict(str,MutationSyntax)) – A dictionary of associated -transcripts. Key=transcript_id, -value=MutationSyntax
  • -
  • isHomozygous (bool) – defines if variant is homozygous or not
  • -
  • isSynonymous (bool) – defines if variant is a synonymous mutation -or not
  • -
  • offsets (dict(str,int)) – the position offset this variant has in a -specific transcript-variant -key=transcript-variant-id (xxx:FRED2_nn) -value=offset
  • -
  • metadata (defaultdict(list)) – meta information (not relevant for core -functionality of Fred2)
  • -
-
-
-
-get_protein_position(trans_variant_id)[source]¶
-
-

Note

-

May only be used for transcript variants that were created from this variant via :func:

-
-

Generator.generate_transcripts_from_variants. -..TODO:: what? that should not be encoded in transcript id but in separate member

-

returns the specific protein position of a given transcript_id. If -variant is not associated with the given transcript id the function -throws a KeyError

- --- - - - - - - - -
Parameters:transcriptId (str) – A transcript_id
Returns:(int) – the protein position of the variant
Raises:KeyError
-
- -
-
-get_shift()[source]¶
-
- -
-
-get_transcript_offset()[source]¶
-
- -
-
-get_transcript_position(trans_variant_id)[source]¶
-
-

Note

-

May only be used for transcript variants that were created from this variant via :func:

-
-

Generator.generate_transcripts_from_variants. -..TODO:: what? that should not be encoded in transcript id but in separate member

-

returns the specific transcript position of a given transcript_id. -If variant is not associated with the given transcript id the function -throws a KeyError

- --- - - - - - - - -
Parameters:transcriptId (str) – A transcript_id
Returns:(int) – transcript position
Raises:KeyError
-
- -
- -
-
-Fred2.Core.Variant.VariationType¶
-

Enum for variation types: -type.SNP, type.DEL, type.INS, type.FSDEL, type.FSINS, type.UNKNOWN

-

alias of Enum

-
- -
-
-

Module contents¶

-
-
- - -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/Fred2.Distance2Self.html b/Fred2/doc/_build/html/Fred2.Distance2Self.html deleted file mode 100644 index 3403c0dd..00000000 --- a/Fred2/doc/_build/html/Fred2.Distance2Self.html +++ /dev/null @@ -1,156 +0,0 @@ - - - - - - - - Fred2.Distance2Self package — Fred2 documentation - - - - - - - - - - - - - - - - - - - - -
-
-
-
- -
-

Fred2.Distance2Self package¶

-
-

Submodules¶

-
-
-

Fred2.Distance2Self.Distance2Self module¶

-
-
-

Fred2.Distance2Self.DistanceMatrix module¶

-
-
-class Fred2.Distance2Self.DistanceMatrix.DistanceMatrix(data, name='DistanceMatrix')[source]¶
-

Bases: object

-
-
-from_file(file_path)[source]¶
-
- -
-
-to_file(file_path)[source]¶
-
- -
- -
-
-

Module contents¶

-
-
- - -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/Fred2.EpitopeAssembly.html b/Fred2/doc/_build/html/Fred2.EpitopeAssembly.html deleted file mode 100644 index 7acf6d27..00000000 --- a/Fred2/doc/_build/html/Fred2.EpitopeAssembly.html +++ /dev/null @@ -1,140 +0,0 @@ - - - - - - - - Fred2.EpitopeAssembly package — Fred2 documentation - - - - - - - - - - - - - - - - - - - - -
-
-
-
- -
-

Fred2.EpitopeAssembly package¶

-
-

Submodules¶

-
-
-

Fred2.EpitopeAssembly.EpitopeAssembly module¶

-
-
-

Fred2.EpitopeAssembly.MosaicVaccine module¶

-
-
-

Module contents¶

-
-
- - -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/Fred2.EpitopePrediction.html b/Fred2/doc/_build/html/Fred2.EpitopePrediction.html deleted file mode 100644 index 8c5ddb56..00000000 --- a/Fred2/doc/_build/html/Fred2.EpitopePrediction.html +++ /dev/null @@ -1,981 +0,0 @@ - - - - - - - - Fred2.EpitopePrediction package — Fred2 documentation - - - - - - - - - - - - - - - - - - - - -
-
-
-
- -
-

Fred2.EpitopePrediction package¶

-
-

Submodules¶

-
-
-

Fred2.EpitopePrediction.External module¶

-
-
-class Fred2.EpitopePrediction.External.AExternalEpitopePrediction[source]¶
-

Bases: Fred2.Core.Base.AEpitopePrediction, Fred2.Core.Base.AExternal

-

Abstract class representing NetMHC prediction function. These are wrapper of external binaries

-
-
-predict(peptides, alleles=None, **kwargs)[source]¶
-
- -
- -
-
-class Fred2.EpitopePrediction.External.NetCTLpan_1_1[source]¶
-

Bases: Fred2.EpitopePrediction.External.AExternalEpitopePrediction, Fred2.Core.Base.AExternal

-

Interface for NetCTLpan 1.1

-

NetCTLpan - Pan-specific MHC class I epitope predictions -Stranzl T., Larsen M. V., Lundegaard C., Nielsen M. -Immunogenetics. 2010 Apr 9. [Epub ahead of print]

-
-
-command¶
-
- -
-
-convert_alleles(alleles)[source]¶
-
- -
-
-get_external_version(path=None)[source]¶
-
- -
-
-name¶
-
- -
-
-parse_external_result(_file)[source]¶
-
- -
-
-prepare_peptide_input(_peptides, _file)[source]¶
-
- -
-
-supportedAlleles¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.EpitopePrediction.External.NetMHCII_2_2[source]¶
-

Bases: Fred2.EpitopePrediction.External.AExternalEpitopePrediction, Fred2.Core.Base.AExternal

-

Implements a wrapper for NetMHCII

-
-
-command¶
-
- -
-
-convert_alleles(alleles)[source]¶
-
- -
-
-get_external_version(path=None)[source]¶
-
- -
-
-name¶
-
- -
-
-parse_external_result(_file)[source]¶
-
- -
-
-prepare_peptide_input(_peptides, _file)[source]¶
-
- -
-
-supportedAlleles¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.EpitopePrediction.External.NetMHCIIpan_3_0[source]¶
-

Bases: Fred2.EpitopePrediction.External.AExternalEpitopePrediction, Fred2.Core.Base.AExternal

-

Implements a wrapper for NetMHCIIpan

-
-
-command¶
-
- -
-
-convert_alleles(alleles)[source]¶
-
- -
-
-get_external_version(path=None)[source]¶
-
- -
-
-name¶
-
- -
-
-parse_external_result(_file)[source]¶
-
- -
-
-prepare_peptide_input(_peptides, _file)[source]¶
-
- -
-
-supportedAlleles¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.EpitopePrediction.External.NetMHC_3_4[source]¶
-

Bases: Fred2.EpitopePrediction.External.AExternalEpitopePrediction

-

Implements the NetMHC binding (in current form for netMHC3.4) -Possibility could exist for function injection to support also older versions

-
-
-command¶
-
- -
-
-convert_alleles(alleles)[source]¶
-
- -
-
-get_external_version(path=None)[source]¶
-
- -
-
-name¶
-
- -
-
-parse_external_result(_file)[source]¶
-
- -
-
-predict(peptides, alleles=None, **kwargs)[source]¶
-
- -
-
-prepare_peptide_input(_peptides, _file)[source]¶
-
- -
-
-supportedAlleles¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.EpitopePrediction.External.NetMHCpan_2_4[source]¶
-

Bases: Fred2.EpitopePrediction.External.AExternalEpitopePrediction

-

Implements the NetMHC binding (in current form for netMHCpan 2.4) -Possibility could exist for function injection to support also older versions

-

Supported MHC alleles currently only restricted to HLA alleles

-
-
-command¶
-
- -
-
-convert_alleles(alleles)[source]¶
-
- -
-
-get_external_version(path=None)[source]¶
-
- -
-
-name¶
-
- -
-
-parse_external_result(_file)[source]¶
-
- -
-
-predict(peptides, alleles=None, **kwargs)[source]¶
-
- -
-
-prepare_peptide_input(_peptides, _file)[source]¶
-
- -
-
-supportedAlleles¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.EpitopePrediction.External.PickPocket_1_1[source]¶
-

Bases: Fred2.EpitopePrediction.External.AExternalEpitopePrediction

-

Implementation of PickPocket adapter

-

Zhang, H., Lund, O., & Nielsen, M. (2009). The PickPocket method for predicting binding specificities -for receptors based on receptor pocket similarities: application to MHC-peptide binding. -Bioinformatics, 25(10), 1293-1299.

-
-
-command¶
-
- -
-
-convert_alleles(alleles)[source]¶
-
- -
-
-get_external_version(path=None)[source]¶
-
- -
-
-name¶
-
- -
-
-parse_external_result(_file)[source]¶
-
- -
-
-prepare_peptide_input(_peptides, _file)[source]¶
-
- -
-
-supportedAlleles¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-

Fred2.EpitopePrediction.PSSM module¶

-
-
-class Fred2.EpitopePrediction.PSSM.APSSMEpitopePrediction[source]¶
-

Bases: Fred2.Core.Base.AEpitopePrediction

-

Abstract base class for PSSM predictions.

-

Implements predict functionality

-
-
-predict(peptides, alleles=None, **kwargs)[source]¶
-

Returns predictions for given peptides an alleles. If no alleles are given, predictions for all available models -are made.

- --- - - - - - -
Parameters:
    -
  • peptides (list(Peptide)/Peptide) – A single Peptide or a list of Peptides
  • -
  • alleles (list(Alleles)) – a list of Alleles
  • -
  • kwargs – optional parameter (not used yet)
  • -
-
Returns:

Returns a AResult object with the prediction results

-
-
- -
- -
-
-class Fred2.EpitopePrediction.PSSM.ARB[source]¶
-

Bases: Fred2.EpitopePrediction.PSSM.APSSMEpitopePrediction

-

Implements IEDBs ARB method

-
-
-convert_alleles(alleles)[source]¶
-
- -
-
-name¶
-
- -
-
-predict(peptides, alleles=None, **kwargs)[source]¶
-
- -
-
-supportedAlleles¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.EpitopePrediction.PSSM.BIMAS[source]¶
-

Bases: Fred2.EpitopePrediction.PSSM.APSSMEpitopePrediction

-

Represents the BIMAS PSSM predictor

-
-
-convert_alleles(alleles)[source]¶
-
- -
-
-name¶
-
- -
-
-predict(peptides, alleles=None, **kwargs)[source]¶
-
- -
-
-supportedAlleles¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.EpitopePrediction.PSSM.ComblibSidney2008[source]¶
-

Bases: Fred2.EpitopePrediction.PSSM.APSSMEpitopePrediction

-

Implements IEDBs Comblib_Sidney2008 PSSM method

-
-
-convert_alleles(alleles)[source]¶
-
- -
-
-name¶
-
- -
-
-predict(peptides, alleles=None, **kwargs)[source]¶
-
- -
-
-supportedAlleles¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.EpitopePrediction.PSSM.Epidemix[source]¶
-

Bases: Fred2.EpitopePrediction.PSSM.APSSMEpitopePrediction

-
-
-convert_alleles(alleles)[source]¶
-
- -
-
-name¶
-
- -
-
-predict(peptides, alleles=None, **kwargs)[source]¶
-
- -
-
-supportedAlleles¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.EpitopePrediction.PSSM.Hammer[source]¶
-

Bases: Fred2.EpitopePrediction.PSSM.APSSMEpitopePrediction

-
-
-convert_alleles(alleles)[source]¶
-
- -
-
-name¶
-
- -
-
-predict(peptides, alleles=None, **kwargs)[source]¶
-
- -
-
-supportedAlleles¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.EpitopePrediction.PSSM.SMM[source]¶
-

Bases: Fred2.EpitopePrediction.PSSM.APSSMEpitopePrediction

-

Implements IEDBs SMM PSSM method

-
-
-convert_alleles(alleles)[source]¶
-
- -
-
-name¶
-
- -
-
-predict(peptides, alleles=None, **kwargs)[source]¶
-
- -
-
-supportedAlleles¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.EpitopePrediction.PSSM.SMMPMBEC[source]¶
-

Bases: Fred2.EpitopePrediction.PSSM.APSSMEpitopePrediction

-

Implements IEDBs SMMPMBEC PSSM method

-
-
-convert_alleles(alleles)[source]¶
-
- -
-
-name¶
-
- -
-
-predict(peptides, alleles=None, **kwargs)[source]¶
-
- -
-
-supportedAlleles¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.EpitopePrediction.PSSM.Syfpeithi[source]¶
-

Bases: Fred2.EpitopePrediction.PSSM.APSSMEpitopePrediction

-

Represents the Syfpeithi PSSM predictor

-
-
-convert_alleles(alleles)[source]¶
-
- -
-
-name¶
-
- -
-
-predict(peptides, alleles=None, **kwargs)[source]¶
-
- -
-
-supportedAlleles¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.EpitopePrediction.PSSM.TEPITOPEpan[source]¶
-

Bases: Fred2.EpitopePrediction.PSSM.APSSMEpitopePrediction

-

Implements TEPITOPEpan -TEPITOPEpan: Extending TEPITOPE for Peptide Binding Prediction Covering over 700 HLA-DR Molecules

-
-
Lianming Zhang , Yiqing Chen , Hau-San Wong, Shuigeng Zhou, Hiroshi Mamitsuka, Shanfeng Zhu
-
-
-convert_alleles(alleles)[source]¶
-
- -
-
-name¶
-
- -
-
-predict(peptides, alleles=None, **kwargs)[source]¶
-
- -
-
-supportedAlleles¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-

Fred2.EpitopePrediction.SVM module¶

-
-
-class Fred2.EpitopePrediction.SVM.ASVMEpitopePrediction[source]¶
-

Bases: Fred2.Core.Base.AEpitopePrediction, Fred2.Core.Base.ASVM

-

implements default prediction routine for SVM based epitope prediction tools

-
-
-predict(peptides, alleles=None, **kwargs)[source]¶
-
- -
- -
-
-class Fred2.EpitopePrediction.SVM.SVMHC[source]¶
-

Bases: Fred2.EpitopePrediction.SVM.ASVMEpitopePrediction

-

Implements SVMHC epitope prediction for MHC-I alleles (SYFPEITHI models)

-

Doennes, P. and Kohlbacher, O. -SVMHC: a server for prediction of MHC-binding peptides. -Nucleic Acids Res, 2006, 34, W194-W197

-
-
-convert_alleles(alleles)[source]¶
-
- -
-
-encode(peptides)[source]¶
-

Here implements a binary sparse encoding of the peptide

- --- - - - - - -
Parameters:peptides
Returns:dict(peptide, (tuple(int, list(tuple(int,float)))) – dictionary with peptide -as key and feature encoding as value (see svmlight encoding scheme http://svmlight.joachims.org/)
-
- -
-
-name¶
-
- -
-
-supportedAlleles¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.EpitopePrediction.SVM.UniTope[source]¶
-

Bases: Fred2.EpitopePrediction.SVM.ASVMEpitopePrediction

-

Implements UniTope prediction for MHC-I

-

Feldhahn, M., Toussaint, N. C., Ziehm, M. anf Kohlbacher, O. -UniTope - Prediction of MHC Class I Binding Peptides for All MHC Alleles. -Submitted to Bioinformatics on 09-22-2007.

-
-
-convert_alleles(alleles)[source]¶
-
- -
-
-encode(peptides, allele)[source]¶
-
- -
-
-name¶
-
- -
-
-predict(peptides, alleles=None, **kwargs)[source]¶
-
- -
-
-supportedAlleles¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-

Module contents¶

-
-
-class Fred2.EpitopePrediction.EpitopePredictorFactory[source]¶
-

Bases: object

-
-
-static available_methods()[source]¶
-

Returns a list of available epitope predictors

- --- - - - -
Returns:list of epitope predictors represented as string
-
- -
- -
-
- - -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/Fred2.EpitopeSelection.html b/Fred2/doc/_build/html/Fred2.EpitopeSelection.html deleted file mode 100644 index 455bf7c9..00000000 --- a/Fred2/doc/_build/html/Fred2.EpitopeSelection.html +++ /dev/null @@ -1,136 +0,0 @@ - - - - - - - - Fred2.EpitopeSelection package — Fred2 documentation - - - - - - - - - - - - - - - - - - - - -
-
-
-
- -
-

Fred2.EpitopeSelection package¶

-
-

Submodules¶

-
-
-

Fred2.EpitopeSelection.OptiTope module¶

-
-
-

Module contents¶

-
-
- - -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/Fred2.IO.html b/Fred2/doc/_build/html/Fred2.IO.html deleted file mode 100644 index f092def4..00000000 --- a/Fred2/doc/_build/html/Fred2.IO.html +++ /dev/null @@ -1,649 +0,0 @@ - - - - - - - - Fred2.IO package — Fred2 documentation - - - - - - - - - - - - - - - - - - - - -
-
-
-
- -
-

Fred2.IO package¶

-
-

Submodules¶

-
-
-

Fred2.IO.ADBAdapter module¶

-
-
-class Fred2.IO.ADBAdapter.ADBAdapter[source]¶
-

Bases: object

-
-
-get_product_sequence(product_refseq)[source]¶
-

fetches product sequence for the given id

- --- - - - - - -
Parameters:product_refseq – given refseq id
Returns:list of dictionaries of the requested sequence, the respective strand and the associated gene name
-
- -
-
-get_transcript_information(transcript_refseq)[source]¶
-
- -
-
-get_transcript_sequence(transcript_refseq)[source]¶
-

Fetches transcript sequence for the given id

- --- - - - - - -
Parameters:transcript_refseq
Returns:list of dictionary of the requested sequence, the respective strand and the associated gene name
-
- -
- -
-
-Fred2.IO.ADBAdapter.EAdapterFields¶
-

alias of Enum

-
- -
-
-

Fred2.IO.EnsemblAdapter module¶

-
-
-class Fred2.IO.EnsemblAdapter.EnsemblDB(name='fdb')[source]¶
-
-
-exists(seq)[source]¶
-

fast check if given sequence exists (as subsequence) in one of the EnsembleDB objects collection of sequences. -:param seq: the subsequence to be searched for -:return: True, if it is found somewhere, False otherwise

-
- -
-
-get_sequence(ensp)[source]¶
-
- -
-
-map_ensg(ensg)[source]¶
-
- -
-
-map_ensp(ensp)[source]¶
-

looks up ensp from the mapping and returns a ensg and a enst -:param ensp: the protein to map -:return: tuple of gene and protein (should not be None)

-
- -
-
-map_enst(enst)[source]¶
-

looks up enst from the mapping and returns a ensg and a ensp -:param enst: the transcript to map -:return: tuple of gene and protein (might be None)

-
- -
-
-read_seqs(sequence_file)[source]¶
-

read sequences from Ensemble protein files (.fasta) or from lists or dicts of BioPython SeqRecords -and make them available for fast search. Appending also with this function. -:param sequence_file: Ensemble files (.dat or .fasta) -:return:

-
- -
-
-search(seq)[source]¶
-

search for first occurrence of given sequence(s) in the EnsembleDB objects collection returning (each) the fasta -header front part of the first occurrence. -:param seq: a string interpreted as a single sequence or a list (of str) interpreted as a coll. of sequences -:return: a dictionary of sequences to lists (of ids, ‘null’ if n/a)

-
- -
-
-search_all(seq)[source]¶
-

search for all occurrences of given sequence(s) in the EnsembleDB objects collection returning (each) the -fasta header front part of all occurrences. -:param seq: a string interpreted as a single sequence or a list (of str) interpreted as a coll. of sequences -:return: a dictionary of the given sequences to lists (of ids, ‘null’ if n/a)

-
- -
-
-write_seqs(name)[source]¶
-

writes all fasta entries in the current object into one fasta file -:param name: the complete path with file name where the fasta is going to be written

-
- -
- -
-
-

Fred2.IO.FileReader module¶

-
-
-Fred2.IO.FileReader.read_annovar_exonic(annovar_file, gene_filter=None, experimentalDesig=None)[source]¶
-

Reads an gene-based ANNOVAR output file and generates Variant objects containing -all annotated transcript ids an outputs a list variants.

- --- - - - - - -
Parameters:
    -
  • annovar_file (str) – The path ot the ANNOVAR file
  • -
  • gene_filter (list(str)) – A list of gene names of interest (only variants associated -with these genes are generated)
  • -
-
Returns:

list(AVariant) – List of variants fully annotated

-
-
- -
-
-Fred2.IO.FileReader.read_fasta(files, type=<class 'Fred2.Core.Peptide.Peptide'>, id_position=1)[source]¶
-

Generator function:

-

Read a (couple of) peptide, protein or rna sequence from a FASTA file. -User needs to specify the correct type of the underlying sequences. It can -either be: Peptide, Protein or Transcript (for RNA).

- --- - - - - - - - - -
Parameters:
    -
  • files (List(str)/str) – A (List) of file names to read in
  • -
  • type (Peptide/Transcript/Protein) – The type to read in
  • -
  • id_position (int) – the position of the id specified counted by |
  • -
-
Returns:

(list(SequenceType)) – a list of the specified sequence type -derived from the FASTA file sequences.

-
Raises ValueError:
 

if a file is not readable

-
-
- -
-
-Fred2.IO.FileReader.read_lines(files, type=<class 'Fred2.Core.Peptide.Peptide'>)[source]¶
-

Generator function:

-

Read a sequence directly from a line. User needs to manually specify the -correct type of the underlying data. It can either be: -Peptide, Protein or Transcript, Allele.

- --- - - - - - - - -
Parameters:
    -
  • files (list(str)/str) – a list of strings of absolute file names of the FASTA files -that are to be read. Give as: -get_sequence(*[“path/name1”, “path/name2”]). -This field is required!
  • -
  • type (Peptide/Protein/Transcript/Allele) – optional. Use get_sequence(*[“path/name1”, “path/name2”, -type=”Protein”). Possible types are Peptide, Protein, Transcript and Allele.
  • -
-
Returns:

(list(type)) – a list of the specified objects

-
Exception:

if a file is not readable

-
-
- -
-
-

Fred2.IO.MartsAdapter module¶

-
-
-class Fred2.IO.MartsAdapter.MartsAdapter(usr=None, host=None, pwd=None, db=None)[source]¶
-

Bases: Fred2.IO.ADBAdapter.ADBAdapter

-
-
-get_all_variant_gene(locations, _db='hsapiens_gene_ensembl', _dataset='gene_ensembl_config')[source]¶
-

Fetches the important db ids and names for given chromosomal location -:param chrom: integer value of the chromosome in question -:param start: integer value of the variation start position on given chromosome -:param stop: integer value of the variation stop position on given chromosome -:return: The respective gene name, i.e. the first one reported

-
- -
-
-get_all_variant_ids(**kwargs)[source]¶
-

Fetches the important db ids and names for given gene _or_ chromosomal location. The former is recommended. -AResult is a list of dicts with either of the tree combinations:

-
-
    -
  • ‘Ensembl Gene ID’, ‘Ensembl Transcript ID’, ‘Ensembl Protein ID’
  • -
  • ‘RefSeq Protein ID [e.g. NP_001005353]’, ‘RefSeq mRNA [e.g. NM_001195597]’, first triplet
  • -
  • ‘RefSeq Predicted Protein ID [e.g. XP_001720922]’, ‘RefSeq mRNA predicted [e.g. XM_001125684]’, first triplet
  • -
-
- --- - - - - - -
Parameters:
    -
  • 'locations' – list of locations as triplets of integer values representing (chrom, start, stop)
  • -
  • 'genes' – list of genes as string value of the genes of variation
  • -
-
Returns:

The list of dicts of entries with transcript and protein ids (either NM+NP or XM+XP)

-
-
- -
-
-get_product_sequence(product_refseq, _db='hsapiens_gene_ensembl', _dataset='gene_ensembl_config')[source]¶
-

fetches product sequence for the given id -:param product_refseq: given refseq id -:return: list of dictionaries of the requested sequence, the respective strand and the associated gene name

-
- -
-
-get_protein_sequence_from_protein_id(**kwargs)[source]¶
-

Returns the protein sequence for a given protein ID that can either be refeseq, uniprot or ensamble id

- --- - - - - - -
Parameters:kwargs
Returns:
-
- -
-
-get_transcript_information(transcript_refseq, _db='hsapiens_gene_ensembl', _dataset='gene_ensembl_config')[source]¶
-

It also already uses the Field-Enum for DBAdapters

-

Fetches transcript sequence for the given id -:param transcript_refseq: -:return: list of dictionary of the requested sequence, the respective strand and the associated gene name

-
- -
-
-get_transcript_information_from_protein_id(**kwargs)[source]¶
-

It also already uses the Field-Enum for DBAdapters

-

Fetches transcript sequence for the given id -:param transcript_refseq: -:return: list of dictionary of the requested sequence, the respective strand and the associated gene name

-
- -
-
-get_transcript_sequence(transcript_refseq, _db='hsapiens_gene_ensembl', _dataset='gene_ensembl_config')[source]¶
-

Fetches transcript sequence for the given id -:param transcript_refseq: -:return: list of dictionary of the requested sequence, the respective strand and the associated gene name

-
- -
-
-get_variant_gene(chrom, start, stop, _db='hsapiens_gene_ensembl', _dataset='gene_ensembl_config')[source]¶
-

Fetches the important db ids and names for given chromosomal location -:param chrom: integer value of the chromosome in question -:param start: integer value of the variation start position on given chromosome -:param stop: integer value of the variation stop position on given chromosome -:return: The respective gene name, i.e. the first one reported

-
- -
-
-get_variant_id_from_gene_id(**kwargs)[source]¶
-

returns all information needed to instantiate a variation

- --- - - - - - -
Parameters:trans_id – A transcript ID (either ENSAMBLE (ENS) or RefSeq (NM, XN)
Returns:list of dicts – containing all information needed for a variant initialization
-
- -
-
-get_variant_id_from_protein_id(**kwargs)[source]¶
-

returns all information needed to instantiate a variation

- --- - - - - - -
Parameters:trans_id – A transcript ID (either ENSAMBLE (ENS) or RefSeq (NM, XN)
Returns:list of dicts – containing all information needed for a variant initialization
-
- -
-
-get_variant_ids(**kwargs)[source]¶
-

Fetches the important db ids and names for given gene _or_ chromosomal location. The former is recommended. -AResult is a list of dicts with either of the tree combinations:

-
-
    -
  • ‘Ensembl Gene ID’, ‘Ensembl Transcript ID’, ‘Ensembl Protein ID’
  • -
  • ‘RefSeq Protein ID [e.g. NP_001005353]’, ‘RefSeq mRNA [e.g. NM_001195597]’, first triplet
  • -
  • ‘RefSeq Predicted Protein ID [e.g. XP_001720922]’, ‘RefSeq mRNA predicted [e.g. XM_001125684]’, first triplet
  • -
-
- --- - - - - - -
Parameters:
    -
  • 'chrom' – integer value of the chromosome in question
  • -
  • 'start' – integer value of the variation start position on given chromosome
  • -
  • 'stop' – integer value of the variation stop position on given chromosome
  • -
  • 'gene' – string value of the gene of variation
  • -
  • 'transcript_id' – string value of the gene of variation
  • -
-
Returns:

The list of dicts of entries with transcript and protein ids (either NM+NP or XM+XP)

-
-
- -
- -
-
-

Fred2.IO.RefSeqAdapter module¶

-
-
-class Fred2.IO.RefSeqAdapter.RefSeqAdapter(prot_file=None, prot_vers=None, mrna_file=None, mrna_vers=None)[source]¶
-

Bases: Fred2.IO.ADBAdapter.ADBAdapter

-
-
-get_product_sequence(product_refseq)[source]¶
-

fetches product sequence for the given id -:param product_refseq: given refseq id -:return: list of dictionaries of the requested sequence, the respective strand and the associated gene name

-
- -
-
-get_transcript_information(transcript_refseq)[source]¶
-
- -
-
-get_transcript_sequence(transcript_refseq)[source]¶
-

Fetches transcript sequence for the given id -:param transcript_refseq: -:return: list of dictionary of the requested sequence, the respective strand and the associated gene name

-
- -
-
-load(filename)[source]¶
-
- -
- -
-
-

Fred2.IO.UniProtAdapter module¶

-
-
-class Fred2.IO.UniProtAdapter.UniProtDB(name='fdb')[source]¶
-
-
-exists(seq)[source]¶
-

fast check if given sequence exists (as subsequence) in one of the UniProtDB objects collection of sequences.

- --- - - - - - -
Parameters:seq – the subsequence to be searched for
Returns:True, if it is found somewhere, False otherwise
-
- -
-
-read_seqs(sequence_file)[source]¶
-

read sequences from uniprot files (.dat or .fasta) or from lists or dicts of BioPython SeqRecords -and make them available for fast search. Appending also with this function.

- --- - - - - - -
Parameters:sequence_file – uniprot files (.dat or .fasta)
Returns:
-
- -
-
-search(seq)[source]¶
-

search for first occurrence of given sequence(s) in the UniProtDB objects collection returning (each) the fasta -header front part of the first occurrence.

- --- - - - - - -
Parameters:seq – a string interpreted as a single sequence or a list (of str) interpreted as a coll. of sequences
Returns:a dictionary of sequences to lists (of ids, ‘null’ if n/a)
-
- -
-
-search_all(seq)[source]¶
-

search for all occurrences of given sequence(s) in the UniProtDB objects collection returning (each) the -fasta header front part of all occurrences.

- --- - - - - - -
Parameters:seq – a string interpreted as a single sequence or a list (of str) interpreted as a coll. of sequences
Returns:a dictionary of the given sequences to lists (of ids, ‘null’ if n/a)
-
- -
-
-write_seqs(name)[source]¶
-

writes all fasta entries in the current object into one fasta file

- --- - - - -
Parameters:name – the complete path with file name where the fasta is going to be written
-
- -
- -
-
-

Module contents¶

-
-
- - -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/Fred2.TAPPrediction.html b/Fred2/doc/_build/html/Fred2.TAPPrediction.html deleted file mode 100644 index a005fba1..00000000 --- a/Fred2/doc/_build/html/Fred2.TAPPrediction.html +++ /dev/null @@ -1,283 +0,0 @@ - - - - - - - - Fred2.TAPPrediction package — Fred2 documentation - - - - - - - - - - - - - - - - - - - -
-
-
-
- -
-

Fred2.TAPPrediction package¶

-
-

Submodules¶

-
-
-

Fred2.TAPPrediction.PSSM module¶

-
-
-class Fred2.TAPPrediction.PSSM.APSSMTAPPrediction[source]¶
-

Bases: Fred2.Core.Base.ATAPPrediction

-
-
-predict(peptides, **kwargs)[source]¶
-
- -
- -
-
-class Fred2.TAPPrediction.PSSM.SMMTAP[source]¶
-

Bases: Fred2.TAPPrediction.PSSM.APSSMTAPPrediction

-

Implementation of -Peters, B., Bulik, S., Tampe, R., Van Endert, P. M., & Holzhuetter, H. G. (2003). Identifying MHC class I -epitopes by predicting the TAP transport efficiency of epitope precursors. The Journal of Immunology, -171(4), 1741-1749.

-
-
-name¶
-
- -
-
-predict(peptides, **kwargs)[source]¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-class Fred2.TAPPrediction.PSSM.TAPDoytchinova[source]¶
-

Bases: Fred2.TAPPrediction.PSSM.APSSMTAPPrediction

-

Implements the TAP prediction model from Doytchinova

-

Doytchinova, I., Hemsley, S. and Flower, D. R. -Transporter associated with antigen processing preselection of peptides binding to the MHC: a bioinformatic evaluation. -J Immunol, 2004, 173, 6813-6819

-
-
-name¶
-
- -
-
-predict(peptides, **kwargs)[source]¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-

Fred2.TAPPrediction.SVM module¶

-
-
-class Fred2.TAPPrediction.SVM.ASVMTAPPrediction[source]¶
-

Bases: Fred2.Core.Base.ATAPPrediction, Fred2.Core.Base.ASVM

-
-
-predict(peptides, **kwargs)[source]¶
-
- -
- -
-
-class Fred2.TAPPrediction.SVM.SVMTAP[source]¶
-

Bases: Fred2.TAPPrediction.SVM.ASVMTAPPrediction

-

Implements SVMTAP prediction of Doeness et al.

-

An SVM method for prediction of TAP affinities. -Doennes, P. and Kohlbacher, O. -Integrated modeling of the major events in the MHC class I antigen processing pathway. -Protein Sci, 2005

-
-
-encode(peptides)[source]¶
-

Here implements a binary sparse encoding of the peptide

- --- - - - - - -
Parameters:peptides
Returns:dict(peptide, (tuple(int, list(tuple(int,float)))) – dictionary with peptide -as key and feature encoding as value (see svmlight encoding scheme http://svmlight.joachims.org/)
-
- -
-
-name¶
-
- -
-
-predict(peptides, **kwargs)[source]¶
-
- -
-
-supportedLength¶
-
- -
-
-version¶
-
- -
- -
-
-

Module contents¶

-
-
-class Fred2.TAPPrediction.TAPPredictorFactory[source]¶
-

Bases: object

-
-
-static available_methods()[source]¶
-

Returns a list of available TAP predictors

- --- - - - -
Returns:list of TAP predictors represented as string
-
- -
- -
-
- - -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/Fred2.html b/Fred2/doc/_build/html/Fred2.html deleted file mode 100644 index 9c9e74ae..00000000 --- a/Fred2/doc/_build/html/Fred2.html +++ /dev/null @@ -1,201 +0,0 @@ - - - - - - - - Fred2 package — Fred2 documentation - - - - - - - - - - - - - - - - - - - -
- - -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/CleavagePrediction.html b/Fred2/doc/_build/html/_modules/Fred2/CleavagePrediction.html deleted file mode 100644 index 85212ec7..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/CleavagePrediction.html +++ /dev/null @@ -1,178 +0,0 @@ - - - - - - - - Fred2.CleavagePrediction — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.CleavagePrediction

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: CleavagePrediction
-   :synopsis: Factory classes for cleavage site and fragment prediction.
-              This is the entry point to all cleavage prediction methods.
-.. moduleauthor:: schubert
-
-"""
-
-from Fred2.Core.Base import ACleavageSitePrediction, ACleavageFragmentPrediction
-from Fred2.CleavagePrediction.PSSM import *
-from Fred2.CleavagePrediction.External import *
-
-try:
-    from fred_plugin import *
-except ImportError:
-    pass
-
-
-
[docs]class CleavageSitePredictorFactory(object): - class __metaclass__(type): - def __init__(cls, name, bases, nmspc): - type.__init__(cls, name, bases, nmspc) - - def __call__(self, _predictor, *args, **kwargs): - ''' - just as I think it works..... - - If a third person wants to write a new Cleavage Site Predictor. One has to name the file fred_plugin and - inherit from ACleavagePrediction. That's it nothing more. - ''' - - version = str(kwargs["version"]).lower() if "version" in kwargs else None - try: - return ACleavageSitePrediction[str(_predictor).lower(), version](*args) - except KeyError as e: - if version is None: - raise ValueError("Predictor %s is not known. Please verify that such an Predictor is "%_predictor + - "supported by FRED2 and inherits ACleavageSitePrediction.") - else: - raise ValueError("Predictor %s version %s is not known. Please verify that such an Predictor is "%(_predictor, version) + - "supported by FRED2 and inherits ACleavageSitePrediction.") - - @staticmethod -
[docs] def available_methods(): - """ - Returns a list of available cleavage site predictors - - :return: list of cleavage site predictor represented as string - """ - return {k:sorted(versions.iterkeys()) for k,versions in ACleavageSitePrediction.registry.iteritems()} - -
-
[docs]class CleavageFragmentPredictorFactory(object): - class __metaclass__(type): - def __init__(cls, name, bases, nmspc): - type.__init__(cls, name, bases, nmspc) - - def __call__(self, _predictor, *args, **kwargs): - ''' - just as I think it works..... - - If a third person wants to write a new Cleavage Fragment Predictor. One has to name the file fred_plugin and - inherit from ACleavagePrediction. That's it nothing more. - ''' - - version = str(kwargs["version"]).lower() if "version" in kwargs else None - try: - return ACleavageFragmentPrediction[str(_predictor).lower(), version](*args) - except KeyError as e: - if version is None: - raise ValueError("Predictor %s is not known. Please verify that such an Predictor is "%_predictor + - "supported by FRED2 and inherits ACleavageFragmentPrediction.") - else: - raise ValueError("Predictor %s version %s is not known. Please verify that such an Predictor is "%(_predictor, version) + - "supported by FRED2 and inherits ACleavageFragmentPrediction.") - - @staticmethod -
[docs] def available_methods(): - """ - Returns a list of available cleavage fragment predictors - - :return: list of cleavage fragment predictors represented as string - """ - return {k:sorted(versions.iterkeys()) for k,versions in ACleavageFragmentPrediction.registry.iteritems()}
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/CleavagePrediction/External.html b/Fred2/doc/_build/html/_modules/Fred2/CleavagePrediction/External.html deleted file mode 100644 index 7b93b000..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/CleavagePrediction/External.html +++ /dev/null @@ -1,231 +0,0 @@ - - - - - - - - Fred2.CleavagePrediction.External — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.CleavagePrediction.External

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: CleavagePrediction.ANN
-   :synopsis: ANN-based cleavage prediction methods.
-.. moduleauthor:: schubert
-
-"""
-
-import sys
-import os
-import subprocess
-import pandas
-
-from tempfile import NamedTemporaryFile
-
-from Fred2.Core.Base import ACleavageSitePrediction, AExternal
-from Fred2.Core.Protein import Protein
-from Fred2.Core.Peptide import Peptide
-from Fred2.Core.Result import CleavageSitePredictionResult
-
-
-
[docs]class NetChop_3_1(ACleavageSitePrediction, AExternal): - """ - Implements NetChop Cleavage Site Prediction (v. 3.1) - """ - __supported_length = [sys.maxint] - __name = "netchop" - __cleavage_pos = 0 - __command = "netChop {input} {options} | grep -v '#' > {out}" - __version = "3.1" - - @property - def version(self): - return self.__version - - @property - def command(self): - return self.__command - - @property - def supportedLength(self): - return self.__supported_length - - @property - def name(self): - return self.__name - - @property - def cleavagePos(self): - return self.__cleavage_pos - -
[docs] def predict(self, _aa_seq, **kwargs): - - if not self.is_in_path() and "path" not in kwargs: - raise RuntimeError("{name} {version} could not be found in PATH".format(name=self.name, - version=self.version)) - external_version = self.get_external_version(path=kwargs.get("path", None)) - if self.version != external_version and external_version is not None: - raise RuntimeError("Internal version {internal_version} does " - "not match external version {external_version}".format(internal_version=self.version, - external_version=external_version)) - - if isinstance(_aa_seq, Peptide) or isinstance(_aa_seq, Protein): - pep_seqs = {str(_aa_seq): _aa_seq} - else: - if any((not isinstance(p, Peptide)) and (not isinstance(p, Protein)) for p in _aa_seq): - raise ValueError("Input is not of type Protein or Peptide") - pep_seqs = {str(p): p for p in _aa_seq} - - tmp_out = NamedTemporaryFile(delete=False) - tmp_file = NamedTemporaryFile(delete=False) - self.prepare_peptide_input(pep_seqs.iterkeys(), tmp_file) - tmp_file.close() - - #allowe customary executable specification - if "path" in kwargs: - exe = self.command.split()[0] - _command = self.command.replace(exe, kwargs["path"]) - else: - _command = self.command - - try: - stdo = None - stde = None - cmd = _command.format(peptides=tmp_file.name, options=kwargs.get("options", ""), out=tmp_out.name) - p = subprocess.Popen(cmd, shell=True, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE) - p.wait() #block the rest - stdo, stde = p.communicate() - stdr = p.returncode - if stdr > 0: - raise RuntimeError("Unsuccessful execution of " + cmd + " (EXIT!=0) with error: " + stde) - except Exception as e: - raise RuntimeError(e) - - result = self.parse_external_result(tmp_out) - - df_result = CleavageSitePredictionResult.from_dict(result) - df_result.index = pandas.MultiIndex.from_tuples([tuple((i,j)) for i, j in df_result.index], - names=['ID', 'Pos']) - os.remove(tmp_file.name) - tmp_out.close() - os.remove(tmp_out.name) - - return df_result -
-
[docs] def parse_external_result(self, _file): - result = {"Seq": {}, self.name: {}} - count = 0 - is_new_seq = 0 - - for l in _file: - l = l.strip() - if not len(l): - continue - #print l - if not is_new_seq % 4 and is_new_seq: - #print "New seq starts", l - count += 1 - is_new_seq = 0 - elif l[0] == "-": - #print "in counter", l - is_new_seq += 1 - elif l[0].isdigit(): - pos, aa, _, s, _ = l.split() - pos = int(pos) - 1 - seq_id = "seq_%i"%count - result["Seq"][(seq_id, pos)] = aa - result[self.name][(seq_id, pos)] = float(s) - - return result -
-
[docs] def get_external_version(self, path=None): - #cannot be determined method does not support --version or something similar - return None -
-
[docs] def prepare_peptide_input(self, _peptides, _file): - _file.write("\n".join(">pep_%i\n%s"%(i, str(p)) for i, p in enumerate(_peptides)))
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/CleavagePrediction/PSSM.html b/Fred2/doc/_build/html/_modules/Fred2/CleavagePrediction/PSSM.html deleted file mode 100644 index 779a75da..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/CleavagePrediction/PSSM.html +++ /dev/null @@ -1,471 +0,0 @@ - - - - - - - - Fred2.CleavagePrediction.PSSM — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.CleavagePrediction.PSSM

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: CleavagePrediction.PSSM
-   :synopsis: PSSM-based cleavage prediction methods.
-.. moduleauthor:: schubert
-
-"""
-
-import collections
-import itertools
-import pandas
-import warnings
-import abc
-
-from Fred2.Core.Base import ACleavageSitePrediction, ACleavageFragmentPrediction
-from Fred2.Core.Protein import Protein
-from Fred2.Core.Peptide import Peptide
-from Fred2.Core.Result import CleavageSitePredictionResult, CleavageFragmentPredictionResult
-
-
-
[docs]class APSSMCleavageSitePredictor(ACleavageSitePrediction): - """ - Abstract base class for PSSM predictions. - - This implementation only supports cleavage site prediction not fragment prediction - - Implements predict functionality - - """ - - -
[docs] def predict(self, aa_seq, length=None, **kwargs): - """ - Returns predictions for given peptides an alleles. If no alleles are given, predictions for all available models - are made. - - :param list(Peptide)/Peptide peptides: A single Peptide or a list of Peptides - :param kwargs: optional parameter (not used yet) - :return: Returns a AResult object with the prediction results - """ - def __load_model(length): - model = "%s_%i"%(self.name, length) - return getattr( __import__("Fred2.Data.CleaveagePSSMMatrices", fromlist=[model]), model) - - if isinstance(aa_seq, Peptide) or isinstance(aa_seq, Protein): - pep_seqs = {str(aa_seq):aa_seq} - else: - if any((not isinstance(p, Peptide)) and (not isinstance(p, Protein)) for p in aa_seq): - raise ValueError("Input is not of type Protein or Peptide") - pep_seqs = {str(p):p for p in aa_seq} - - - length = min(self.supportedLength) if length is None else length - if length not in self.supportedLength: - raise ValueError("Length %i is not supported by %s"%(length, self.name)) - - #group peptides by length and - result = {"Seq":{},self.name:{}} - - try: - pssm = __load_model(length) - except ImportError: - raise KeyError("No model found for %s with length %i"%(self.name, length)) - - diff = length - self.cleavagePos - for j,seq in enumerate(pep_seqs.iterkeys()): - - - seq_id = "seq_%i"%j - p = pep_seqs[seq] - - if isinstance(p, Protein): - if p.transcript_id: - seq_id = p.transcript_id - else: - for t in p.transcripts.iterkeys(): - if t: - seq_id = t - break - - #dynamicaly import prediction PSSMS for alleles and predict - if len(seq) < length: - warnings.warn("Sequence length of %i is to small for specified window of %i"%(len(seq),length), RuntimeWarning) - continue - - for i in xrange(len(seq)): - if i < (length-1): - - result["Seq"][(seq_id, i)] = seq[i] - result[self.name][(seq_id, i)] = 0.0 - else: - result[self.name][(seq_id, i)] = 0.0 - result["Seq"][(seq_id, i)] = seq[i] - score = sum(pssm.get(i,{}).get(aa,0) for i,aa in enumerate(seq[i-(length-1):(i+1)]))+pssm.get(-1,{}).get("con",0) - result[self.name][(seq_id, i-diff)] = score - - if not result["Seq"]: - raise ValueError("No predictions could be made for the given input.") - df_result = CleavageSitePredictionResult.from_dict(result) - df_result.index = pandas.MultiIndex.from_tuples([tuple((i,j)) for i,j in df_result.index], - names=['ID','Pos']) - - return df_result - -
-
[docs]class PCM(APSSMCleavageSitePredictor): - """ - Implements the PCM cleavage prediction method - - :input list(Peptide) peptides: list of peptides for which cleave probability prediction should be performed - """ - - __supported_length = frozenset([6]) - __name = "pcm" - __cleavage_pos = 4 - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def supportedLength(self): - return self.__supported_length - - @property - def cleavagePos(self): - return self.__cleavage_pos - - @property - def name(self): - return self.__name - -
[docs] def predict(self, peptides, **kwargs): - return super(PCM, self).predict(peptides, **kwargs) - -
-
[docs]class ProteaSMMConsecutive(APSSMCleavageSitePredictor): - """ - Implements the ProteaSMM cleavage prediction method - - Tenzer, S., et al. "Modeling the MHC class I pathway by combining predictions of proteasomal cleavage, - TAP transport and MHC class I binding." Cellular and Molecular Life Sciences CMLS 62.9 (2005): 1025-1037. - - This model represents the consecutive proteasom - - The matrices are generated not using the preon-dataset since a reacent study has show that including those - worsened the results. See - - Calis, Jorg JA, et al. "Role of peptide processing predictions in T cell epitope identification: - contribution of different prediction programs." Immunogenetics (2014): 1-9. - - - :input list(Peptide) peptides: list of peptides for which cleave probability prediction should be performed - """ - - __supported_length = frozenset([10]) - __name = "proteasmm_c" - __cleavage_pos = 6 - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def supportedLength(self): - return self.__supported_length - - @property - def cleavagePos(self): - return self.__cleavage_pos - - @property - def name(self): - return self.__name - -
[docs] def predict(self, peptides, **kwargs): - return super(ProteaSMMConsecutive, self).predict(peptides, **kwargs) - -
-
[docs]class ProteaSMMImmuno(APSSMCleavageSitePredictor): - """ - Implements the ProteaSMM cleavage prediction method - - Tenzer, S., et al. "Modeling the MHC class I pathway by combining predictions of proteasomal cleavage, - TAP transport and MHC class I binding." Cellular and Molecular Life Sciences CMLS 62.9 (2005): 1025-1037. - - This model represents the immuno proteasom - - The matrices are generated not using the preon-dataset since a reacent study has show that including those - worsened the results. See - - Calis, Jorg JA, et al. "Role of peptide processing predictions in T cell epitope identification: - contribution of different prediction programs." Immunogenetics (2014): 1-9. - - - :input list(Peptide) peptides: list of peptides for which cleave probability prediction should be performed - """ - - __supported_length = frozenset([10]) - __name = "proteasmm_i" - __cleavage_pos = 6 - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def supportedLength(self): - return self.__supported_length - - @property - def cleavagePos(self): - return self.__cleavage_pos - - @property - def name(self): - return self.__name - -
[docs] def predict(self, peptides, **kwargs): - return super(ProteaSMMImmuno, self).predict(peptides, **kwargs) - -
-
[docs]class APSSMCleavageFragmentPredictor(ACleavageFragmentPrediction): - """ - Abstract base class for PSSM predictions. - - This implementation only supports cleavage fragment prediction not site prediction - - Implements predict functionality - """ - - @abc.abstractproperty - def trailingN(self): - """ - returns the number of trailing residues at the N terminal of the peptide used for prediction - - :return: - """ - raise NotImplementedError - - @abc.abstractproperty - def tralingC(self): - """ - returns the number of trailing residues at the N terminal of the peptide used for prediction - - :return: - """ - raise NotImplementedError - -
[docs] def predict(self, peptides, **kwargs): - """ - Takes peptides plus their trailing C and N-terminal residues to predict - the probability that this 9mer was produced by proteasomal cleavage. It returns the score and - the peptide sequence in a AResult object. Row-IDs are the peitopes column is the prediction score. - - :param _aa_seq: - :param kwargs: - :return: - """ - def __load_model(length): - allele_model = "%%s_%i"%(self.name, length) - return getattr( __import__("Fred2.Data.CleaveagePSSMMatrices", fromlist=[allele_model]), allele_model) - - if isinstance(peptides, Peptide): - pep_seqs = {str(peptides):peptides} - else: - if any(not isinstance(p, Peptide) for p in peptides): - raise ValueError("Input is not of type Protein or Peptide") - pep_seqs = {str(p):p for p in peptides} - - result = {self.name:{}} - for length, peps in itertools.groupby(pep_seqs.iterkeys(), key= lambda x: len(x)): - peps = list(peps) - #dynamicaly import prediction PSSMS for alleles and predict - if length not in self.supportedLength: - warnings.warn("Peptide length of %i not supported"%length, RuntimeWarning) - continue - - #load pssm matrices - try: - pssm = __load_model(length) - except ImportError: - raise KeyError("No model found for %s with length %i"%(self.name, length)) - - for p in peps: - score = sum(pssm[i][aa] for i,aa in enumerate(p))+pssm.get(-1,{}).get("con",0) - pep = pep_seqs[p][self.trailingN:-self.tralingC] - result[self.name][pep] = score - - if not result: - raise ValueError("No predictions could be made for the given input.") - df_result = CleavageFragmentPredictionResult.from_dict(result) - df_result.index = pandas.MultiIndex.from_tuples([tuple((i,self.name)) for i in df_result.index], - names=['Seq','Method']) - return df_result - -
-
[docs]class PSSMGinodi(APSSMCleavageFragmentPredictor): - """ - Implements the Cleavage Fragment prediction method of Ginodi et al. - - Ido Ginodi, Tal Vider-Shalit, Lea Tsaban, and Yoram Louzoun - Precise score for the prediction of peptides cleaved by the proteasome - Bioinformatics (2008) 24 (4): 477-483 - - """ - - __supported_lengths=[11] - __name="ginodi" - __trailingN = 1 - __trailingC = 1 - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def cleavagePos(self): - return 0 - - @property - def supportedLength(self): - return self.__supported_lengths - - @property - def trailingN(self): - return self.__trailingN - - @property - def tralingC(self): - return self.__trailingC - - @property - def name(self): - return self.__name - -
[docs] def predict(self, peptides, **kwargs): - def __load_model(allele): - allele_model = "%s_%i"%(self.name, length) - return getattr( __import__("Fred2.Data.CleaveagePSSMMatrices", fromlist=[allele_model]), allele_model) - - if isinstance(peptides, Peptide): - pep_seqs = {str(peptides):peptides} - else: - if any(not isinstance(p, Peptide) for p in peptides): - raise ValueError("Input is not of type Protein or Peptide") - pep_seqs = {str(p):p for p in peptides} - - result = {self.name:{}} - for length, peps in itertools.groupby(pep_seqs.iterkeys(), key= lambda x: len(x)): - peps = list(peps) - #dynamicaly import prediction PSSMS for alleles and predict - if length not in self.supportedLength: - warnings.warn("Peptide length of %i not supported"%length, RuntimeWarning) - continue - - #load pssm matrices - try: - pssm = __load_model(length) - except ImportError: - raise KeyError("No model found for %s with length %i"%(self.name, length)) - - - for p in peps: - score = pssm[0][p[0]]+pssm[1][p[1]] + sum(pssm[2][aa] for aa in p[2:-2])\ - + pssm[3][p[-2]] + pssm[4][p[-1]] - pep = pep_seqs[p][self.trailingN: -self.tralingC] - result[self.name][pep] = score - - if not result: - raise ValueError("No predictions could be made for the given input.") - df_result = CleavageFragmentPredictionResult.from_dict(result) - return df_result
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/Core/Allele.html b/Fred2/doc/_build/html/_modules/Fred2/Core/Allele.html deleted file mode 100644 index ea4d4162..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/Core/Allele.html +++ /dev/null @@ -1,136 +0,0 @@ - - - - - - - - Fred2.Core.Allele — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.Core.Allele

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: Core.Allele
-   :synopsis: Allele class.
-.. moduleauthor:: schubert, brachvogel, szolek, walzer
-
-"""
-
-
-from Fred2.Core.Base import MetadataLogger
-
-
-
[docs]class Allele(MetadataLogger): - """ - This class represents an Allele and stores additional information as a - dictionary - - :param str name: the name of the MHC allele (new nomenclature A*01:01) - """ - def __init__(self, _name, prob=None): - """ - :param str _name: input name in new nomenclature (A*01:01) - """ - MetadataLogger.__init__(self) - name = _name.split("-")[-1].replace("HLA-", "") - self.name = name - self.locus, rest = name.split('*') - self.supertype, self.subtype = rest.split(':')[:2] - self.prob = prob - - # TODO check semantics - - def __repr__(self): - return 'HLA-%s*%s:%s' % (str(self.locus), str(self.supertype), str(self.subtype)) - - def __str__(self): - return self.name - - def __eq__(self, other): - return str(self.name) == str(other) - - def __cmp__(self, other): - return cmp(self.name, str(other))
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/Core/Base.html b/Fred2/doc/_build/html/_modules/Fred2/Core/Base.html deleted file mode 100644 index fce0d19f..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/Core/Base.html +++ /dev/null @@ -1,485 +0,0 @@ - - - - - - - - Fred2.Core.Base — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.Core.Base

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: Core.Base
-   :synopsis: This module contains base classes for all other modules.
-.. moduleauthor:: schubert, szolek, walzer
-
-
-https://docs.python.org/3/library/abc.html
-
-"""
-
-
-import abc
-import inspect
-import os
-import subprocess
-from collections import defaultdict
-from string import maketrans
-
-
-
-COMPLEMENT = maketrans('atgcATGC', 'tacgTACG')
-
-
-
[docs]class MetadataLogger(object): - """ - This class provides a simple interface for assigning additional metadata to - any object in our data model. Examples: storing ANNOVAR columns like depth, - base count, dbSNP id, quality information for variants, prediction scores - for peptides etc. Normally used by custom toolbox functions and importers. - - The saved values are accessed via :meth:`~Fred2.Core.Base.log_metadata` and - :meth:`~Fred2.Core.Base.get_metadata` - - """ - def __init__(self): - """ - """ - self.__metadata = defaultdict(list) - -
[docs] def log_metadata(self, label, value): - """ - Inserts a new metadata - - :param str label: key for the metadata that will be added - :param list(object) value: any kindy of additional value that should be - kept - """ - self.__metadata[label].append(value) -
-
[docs] def get_metadata(self, label, only_first=False): - """ - Getter for the saved metadata with the key :attr:`label` - - :param str label: key for the metadata that is inferred - :param bool only_first: true if only the the first element of the - matadata list is to be returned - """ - # although defaultdict *would* return [] if it didn't find label in - # self.metadata, it would come with the side effect of adding label as - #a key to the defaultdict, so a getter is justified in this case. - if not only_first: - return self.__metadata[label] if label in self.__metadata else [] - else: - return self.__metadata[label][0] if self.__metadata[label] else None - - -#Metaclass for Plugins
-
[docs]class APluginRegister(abc.ABCMeta): - """ - This class allows automatic registration of new plugins. - """ - - def __init__(cls, name, bases, nmspc): - super(APluginRegister, cls).__init__(name, bases, nmspc) - - if not hasattr(cls, 'registry'): - cls.registry = dict() - if not inspect.isabstract(cls): - cls.registry.setdefault(str(cls().name).lower(), {}).update({str(cls().version).lower():cls}) - - def __getitem__(cls, args): - name, version = args - if version is None: - return cls.registry[name][max(cls.registry[name].keys())] - return cls.registry[name][version] - - def __iter__(cls): - return iter(cls.registry.values()) - - def __str__(cls): - if cls in cls.registry: - return cls.__name__ - return cls.__name__ + ": " + ", ".join([sc.__name__ for sc in cls]) - -
-
[docs]class ACleavageSitePrediction(object): - __metaclass__ = APluginRegister - - @abc.abstractproperty - def name(self): - """ - Returns the name of the predictor - - :return: - """ - raise NotImplementedError - - @abc.abstractproperty - def version(self): - """ - parameter specifying the version of the prediction method - - """ - raise NotImplementedError - - @abc.abstractproperty - def supportedLength(self): - """ - Returns the supported lengths of the predictor - - :return: list(int) - Supported peptide length - """ - raise NotImplementedError - - @abc.abstractproperty - def cleavagePos(self): - """ - parameter specifying the position of aa (within the prediction window) after which the sequence is cleaved - (starting from 1) - - :return: - """ - raise NotImplementedError - - - @abc.abstractmethod -
[docs] def predict(self, _aa_seq, **kwargs): - """ - Predicts the proteom cleavage site of the given sequences - - :param Bio.Seq _aa_seq: The sequence to be cleaved (must be an instance of Bio.Seq - :return: Returns a AResult object for the specified Bio.Seq - """ - raise NotImplementedError - -
-
[docs]class ACleavageFragmentPrediction(object): - __metaclass__ = APluginRegister - - @abc.abstractproperty - def name(self): - """ - Returns the name of the predictor - - :return: - """ - raise NotImplementedError - - @abc.abstractproperty - def version(self): - """ - parameter specifying the version of the prediction method - - """ - raise NotImplementedError - - @abc.abstractproperty - def supportedLength(self): - """ - Returns the supported lengths of the predictor - - :return: list(int) - Supported peptide length - """ - raise NotImplementedError - - - @abc.abstractproperty - def cleavagePos(self): - """ - parameter specifying the position of aa (within the prediction window) after which the sequence is cleaved - - :return: - """ - raise NotImplementedError - - @abc.abstractmethod -
[docs] def predict(self, _aa_seq, **kwargs): - """ - Predicts the probability that the fragment can be produced by the proteasom - - :param Bio.Seq _aa_seq: The sequence to be cleaved (must be an instance of Bio.Seq - :return: Returns a AResult object for the specified Bio.Seq - """ - raise NotImplementedError - -
-
[docs]class AEpitopePrediction(object): - __metaclass__ = APluginRegister - - @abc.abstractproperty - def name(self): - """ - Returns the name of the predictor - - :return: - """ - raise NotImplementedError - - @abc.abstractproperty - def version(cls): - raise NotImplementedError - - @abc.abstractproperty - def supportedAlleles(self): - """ - Returns a list of valid allele models - - :return: List of allele names for which the predictor provides models - """ - raise NotImplementedError - - @abc.abstractproperty - def supportedLength(self): - """ - Returns a list of supported peptide lenghts - - :return: List of supported peptide lengths - """ - raise NotImplementedError - - - @abc.abstractmethod -
[docs] def convert_alleles(self, alleles): - """ - Converts alleles into the interal allele representation of the predictor - and returns a string representation - - :param list(Allele) alleles: The alleles for which the internal predictor - representation is needed - :return: Returns a string representation of the input alleles - """ - raise NotImplementedError -
- @abc.abstractmethod -
[docs] def predict(self, peptides, alleles=None, **kwargs): - """ - Predicts the binding affinity for a given peptide or peptide lists for a given list of alleles. - If alleles is not given, predictions for all valid alleles of the predictor is performed. If, however, - a list of alleles is given, predictions for the valid allele subset is performed. - - :param Peptide/list(Peptide) peptides: The peptide objects for which predictions should be performed - :param Allele/list(Allele) alleles: An Allele or list of Alleles for which prediction models should be used - :return: Returns a AResult object for the specified Peptides and Alleles - """ - raise NotImplementedError - -
-
[docs]class ASVM(object): - """ - Base class for SVM prediction tools - """ - __metaclass__ = abc.ABCMeta - - @abc.abstractmethod -
[docs] def encode(self, peptides): - """ - Returns the feature encoding for peptides - - :param List(Peptide)/Peptide peptides: List oder Peptide object - :return: list(Object) -- Feature encoding of the Peptide objects - """ - raise NotImplementedError - -
-
[docs]class AExternal(object): - """ - Base class for external tools - """ - __metaclass__ = abc.ABCMeta - - @abc.abstractproperty - def command(self): - """ - defines the external execution path ? - :return: - """ - - @abc.abstractmethod -
[docs] def parse_external_result(self, _file): - """ - Parses external NetMHC results and returns a AResult object - - :param str _file: The file path or the external prediction results - :return: AResult - Returns a AResult object - """ - raise NotImplementedError -
-
[docs] def is_in_path(self): - """ - checks whether the specified execution command can be found in PATH - - :return: bool - Whether or not command could be found in PATH - """ - exe = self.command.split()[0] - for try_path in os.environ["PATH"].split(os.pathsep): - try_path = try_path.strip('"') - exe_try = os.path.join(try_path, exe).strip() - if os.path.isfile(exe_try) and os.access(exe_try, os.X_OK): - return True - return False -
- @abc.abstractmethod -
[docs] def get_external_version(self, path=None): - """ - Returns the external version of the tool by executing - >{command} --version - - might be dependent on the method and has to be overwritten - therefore it is declared abstract to enforce the user to - overwrite the method. The function in the base class can be called - with super() - - :param (str) path: - optional specification of executable path if deviant from self.__command - :return: str - The external version of the tool - """ - exe = self.command.split()[0] if path is None else path - try: - p = subprocess.Popen(exe + ' --version', shell=True, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE) - p.wait() #block the rest - stdo, stde = p.communicate() - stdr = p.returncode - if stdr > 0: - raise RuntimeError("Could not check version of " + exe + " - Please check your installation and FRED2 " - "wrapper implementation.") - except Exception as e: - raise RuntimeError(e) - return str(stdo).strip() -
- @abc.abstractmethod -
[docs] def prepare_peptide_input(self, _peptides, _file): - """ - Prepares sequence input for external tools - and writes them to _file in the specific format - - NO return value! - - :param: (list(str)) _peptides: the peptide sequences to write into _file - :param (File) _file: File handler to input file for external tool - """ - return NotImplementedError - -
-
[docs]class ATAPPrediction(object): - __metaclass__ = APluginRegister - - @abc.abstractproperty - def name(self): - """ - Returns the name of the predictor - - :return: - """ - raise NotImplementedError - - @abc.abstractproperty - def version(self): - """ - parameter specifying the version of the prediction method - - """ - raise NotImplementedError - - @abc.abstractproperty - def supportedLength(self): - """ - Returns the supported lengths of the predictor - - :return: list(int) - Supported peptide length - """ - raise NotImplementedError - - - @abc.abstractmethod -
[docs] def predict(self, peptides, **kwargs): - """ - Predicts the TAP affinity for the given sequences - - :param list(Peptide)/Peptide: Peptides for which TAP affinity should be predicted - :return: Returns a TAPResult object - """ - raise NotImplementedError
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/Core/Generator.html b/Fred2/doc/_build/html/_modules/Fred2/Core/Generator.html deleted file mode 100644 index 536e6eb8..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/Core/Generator.html +++ /dev/null @@ -1,647 +0,0 @@ - - - - - - - - Fred2.Core.Generator — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.Core.Generator

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: Core.Generator
-   :synopsis: Contains functions to transform variants to transcripts and 
-              proteins to peptides. Transition of transcripts to proteins
-              is done via :meth:`~Fred2.Core.Transcript.translate`
-.. moduleauthor:: schubert
-
-"""
-
-import warnings
-import collections
-
-from Fred2.Core.Base import COMPLEMENT
-from Fred2.Core.Protein import Protein
-from Fred2.Core.Peptide import Peptide
-from Fred2.Core.Transcript import Transcript
-from Fred2.Core.Variant import VariationType
-from Fred2.IO.ADBAdapter import ADBAdapter, EAdapterFields
-
-################################################################################
-#Private module functions. It should not be possible to import these!
-
-
-def _update_var_offset(vars, transId_old, transId_new):
-    """
-    :param var:
-    :param transId_old:
-    :param transId_new:
-    """
-    #TODO as this is an manipulator doing an assignment a clearer signature nomenclature would be left- and righthand_side
-    #TODO doc for intended use case
-    for v in vars:
-        offset = v.offsets[transId_old]
-        v.offsets[transId_new] = offset
-
-
-#TODO for _incorp... : shouldnt the offset be determined by the variant and _NOT_ be given as argument - otherwise the argument name should be renamed to something like offset_from_previous or transcript_current_offset
-
-def _incorp_snp(seq, var, transId, offset):
-    """
-    incorporates a snp into the given transcript sequence
-
-    :param list(char) seq: transcript sequence as a list
-    :param Variant var: the snp variant to incorporate
-    :param str transId: the transcript ID of seq
-    :param int offset: the offset which has to be added onto the transcript
-                       position of the variant
-    :return: (list,int) the modified seq, the modified offset
-    """
-    if VariationType.SNP != var.type:
-        raise TypeError("%s is not a SNP"%str(var))
-    var.offsets[transId] = offset
-
-    #print transId, len(seq), var.get_transcript_position(transId)-1
-    if seq[var.get_transcript_position(transId)-1] != var.ref:
-        warnings.warn("For %s bp dos not mmatch ref of assigned variant %s. Pos %i, var ref %s, seq ref %s " % (
-        transId, str(var), var.get_transcript_position(transId) - 1, var.ref,
-        seq[var.get_transcript_position(transId) - 1]))
-
-    seq[var.get_transcript_position(transId)-1] = var.obs
-
-    return seq, offset
-
-
-def _incorp_insertion(seq, var, transId, offset):
-    """
-    incorporates an insertion into the given transcript sequence
-
-    :param list(char) seq: (list) transcript sequence as a list
-    :param Variant var: the snp variant to incorporate
-    :param str transId: the transcript ID of seq
-    :param int offset: the offset which has to be added onto the transcript
-                       position of the variant
-    :return: (list,int) modified sequence, the modified offset
-    """
-    if var.type not in [VariationType.INS, VariationType.FSINS]:
-        raise TypeError("%s is not a insertion"%str(var))
-
-    var.offsets[transId] = offset
-    pos = var.get_transcript_position(transId)
-
-    seq[pos:pos] = var.obs
-    return seq, offset + len(var.obs)
-
-
-def _incorp_deletion(seq, var, transId, offset):
-    """
-    incorporates a deletion into the given transcript sequence
-
-    :param list(char) seq: transcript sequence as a list
-    :param Variant var: the snp variant to incorporate
-    :param str transId: the transcript ID of seq
-    :param int offset: the offset which has to be added onto the transcript 
-                       position of the variant
-    :return: (list,int) -- modified sequence, the modified offset
-    """
-    if var.type not in [VariationType.DEL, VariationType.FSDEL]:
-        raise TypeError("%s is not a deletion"%str(var))
-
-    var.offsets[transId] = offset
-    pos = var.get_transcript_position(transId)
-    s = slice(pos, pos+len(var.ref))
-    del seq[s]
-    return seq, offset - len(var.ref)
-
-
-_incorp = {
-            VariationType.DEL: _incorp_deletion,
-            VariationType.FSDEL: _incorp_deletion,
-            VariationType.INS: _incorp_insertion,
-            VariationType.FSINS: _incorp_insertion,
-            VariationType.SNP: _incorp_snp
-         }
-
-
-def _check_for_problematic_variants(vars):
-    """
-    Filters problematic variants, e.g. variants that coincide.
-
-    :param list(Variant) vars: initial list of variants
-    :return: bool -- true if no intersecting variants were found
-    :invariant: list(Variant) vars: List is sorted based on genome position
-    """
-    v_tmp = vars[:]
-    v = v_tmp.pop()
-    current_range = (v.genomePos, v.genomePos
-                                      +len(v.ref)-1 if v.type in [VariationType.FSDEL, VariationType.DEL] else
-                                      v.genomePos)
-    for v in reversed(v_tmp):
-        if v.genomePos <= current_range[1]:
-            #print "crash",current_range, v
-            return False
-        else:
-            current_range = (v.genomePos, v.genomePos
-                                      +len(v.ref)-1 if v.type in [VariationType.FSDEL, VariationType.DEL] else
-                                      v.genomePos)
-            #print "new block",v, current_range
-    return True
-
-
-#################################################################
-# Public transcript generator functions
-
-################################################################################
-#        V A R I A N T S     = = >    P E P T I D E S
-################################################################################
-
[docs]def generate_peptides_from_variants(vars, length, dbadapter): - """ - generates polymorphic peptides based on given variants - - :param list(Variant) vars: list of Variants - :param int length: length of peptides - :param dbadapter: DBAdapter to fetch the transcript sequences - :return: List(Peptide) -- A list of polymorphic peptides - """ - def _generate_combinations(tId, vs, seq, usedVs, offset): - """ - recursive variant combination generator - """ - transOff = generate_peptides_from_variants.transOff - #print "TransOffset ", transOff, tId,usedVs - if vs: - v = vs.pop() - if v.isHomozygous: - seq, offset = _incorp.get(v.type, lambda a, b, c, d: (a, d))(seq, v, tId+":FRED2_%i"%transOff, offset) - usedVs.append(v) - for s in _generate_combinations(tId, vs, seq, usedVs, offset): - yield s - else: - vs_tmp = vs[:] - tmp_seq = seq[:] - tmp_usedVs = usedVs[:] - - for s in _generate_combinations(tId, vs_tmp, tmp_seq, tmp_usedVs, offset): - yield s - - # update the transcript variant id - old_trans = generate_peptides_from_variants.transOff - generate_peptides_from_variants.transOff += 1 - transOff = generate_peptides_from_variants.transOff - _update_var_offset(usedVs, tId+":FRED2_%i"%old_trans, tId+":FRED2_%i"%(transOff)) - - seq, offset = _incorp.get(v.type, lambda a, b, c, d: (a, d))(seq, v, tId+":FRED2_%i"%transOff, offset) - - usedVs.append(v) - for s in _generate_combinations(tId, vs, seq, usedVs, offset): - yield s - else: - yield tId+":FRED2_%i"%transOff, seq, usedVs - - def _generate_heterozygous(tId, vs, seq, usedVs, offset=None): - """ - incorporates heterozygous variants into polymorphic sequences - """ - if vs: - v = vs.pop() - #find offset - offset = 0 - if offset is None: - for uv in usedVs: - if uv.genomePos < v.genomePos: - offset = uv.offsets[tId] - else: - break - - #generate combinatorial branches: - vs_tmp = vs[:] - tmp_seq = seq[:] - tmp_usedVs = usedVs[:] - - for s in _generate_combinations(tId, vs_tmp, tmp_seq, tmp_usedVs, offset=offset): - yield s - - old_trans = generate_peptides_from_variants.transOff - generate_peptides_from_variants.transOff += 1 - transOff = generate_peptides_from_variants.transOff - _update_var_offset(usedVs, tId+":FRED2_%i"%old_trans, tId+":FRED2_%i"%(transOff)) - - seq, offset = _incorp.get(v.type, lambda a, b, c, d: (a, d))(seq, v, tId+":FRED2_%i"%transOff, offset) - - usedVs.append(v) - for s in _generate_combinations(tId, vs, seq, usedVs, offset=offset): - yield s - else: - yield tId+":FRED2_%i"%generate_peptides_from_variants.transOff, seq, usedVs - - if not isinstance(dbadapter, ADBAdapter): - raise TypeError("The given dbadapter is not of type ADBAdapter") - - transToVar = {} - for v in vars: - for trans_id in v.coding.iterkeys(): - transToVar.setdefault(trans_id, []).append(v) - - for tId, vs in transToVar.iteritems(): - print tId - query = dbadapter.get_transcript_information(tId) - if query is None: - warnings.warn("Transcript with ID %s not found in DB"%tId) - continue - - tSeq = query[EAdapterFields.SEQ] - geneid = query[EAdapterFields.GENE] - strand = query[EAdapterFields.STRAND] - - - #if its a reverse transcript form the complement of the variants - if strand == "-": - for v in transToVar[tId]: - v.ref = v.ref[::-1].translate(COMPLEMENT) - v.obs = v.obs[::-1].translate(COMPLEMENT) - - vs.sort(key=lambda v: v.genomePos, reverse=True) - if not _check_for_problematic_variants(vs): - warnings.warn("Intersecting variants found for Transcript %s"%tId) - continue - generate_peptides_from_variants.transOff = 0 - - vs_homo_and_fs = filter(lambda x: x.type in [VariationType.FSINS, VariationType.FSDEL] or x.isHomozygous, vs) - vs_hetero = filter(lambda x: not x.isHomozygous, vs) - - prots = [] - for tId, varSeq, varComb in _generate_combinations(tId, vs_homo_and_fs, list(tSeq), [], 0): - if vs_hetero: - for i in xrange(len(varSeq)+1-3*length): - end = i+3*length - frac_seq = varSeq[i:end] - frac_var = filter(lambda x: i <= x.get_transcript_position < end, vs_hetero) - for ttId, vvarSeq, vvarComb in _generate_heterozygous(tId, frac_var, frac_seq, varComb): - prots.append( - generate_proteins_from_transcripts( - Transcript("".join(vvarSeq), geneid, ttId, _vars=vvarComb)).next()) - else: - prots.append( - generate_proteins_from_transcripts( - Transcript("".join(varSeq), geneid, tId, _vars=varComb)).next()) - - return generate_peptides_from_protein(prots, length) - -################################################################################ -# V A R I A N T S = = > T R A N S C R I P T S -################################################################################ - -
-
[docs]def generate_transcripts_from_variants(vars, dbadapter): - """ - generates all possible transcript variations of the given variants - - :param list(Variant) vars: A list of variants for which transcripts should - be build - :param ADBAdapter dbadapter: a DBAdapter to fetch the transcript sequences - :return: (Generator(Transcripts)) -- a generator of transcripts with all - possible variations determined by the given - variant list - """ - def _generate_combinations(tId, vs, seq, usedVs, offset): - """ - recursive variant combination generator - """ - transOff = generate_transcripts_from_variants.transOff - #print "TransOffset ", transOff, tId,usedVs - if vs: - v = vs.pop() - if v.isHomozygous: - seq, offset = _incorp.get(v.type, lambda a, b, c, d: (a, d))(seq, v, tId+":FRED2_%i"%transOff, offset) - usedVs.append(v) - for s in _generate_combinations(tId, vs, seq, usedVs, offset): - yield s - else: - vs_tmp = vs[:] - tmp_seq = seq[:] - tmp_usedVs = usedVs[:] - - for s in _generate_combinations(tId, vs_tmp, tmp_seq, tmp_usedVs, offset): - yield s - - # update the transcript variant id - old_trans = generate_transcripts_from_variants.transOff - generate_transcripts_from_variants.transOff += 1 - transOff = generate_transcripts_from_variants.transOff - _update_var_offset(usedVs, tId+":FRED2_%i"%old_trans, tId+":FRED2_%i"%(transOff)) - - seq, offset = _incorp.get(v.type, lambda a, b, c, d: (a, d))(seq, v, tId+":FRED2_%i"%transOff, offset) - - usedVs.append(v) - for s in _generate_combinations(tId, vs, seq, usedVs, offset): - yield s - else: - yield tId+":FRED2_%i"%transOff, seq, usedVs - - #1) get all transcripts and sort the variants to transcripts - - #For a transcript do: - #A) get transcript sequences - #B) generate all possible combinations of variants - #C) apply variants to transcript and generate transcript object - - if not isinstance(dbadapter, ADBAdapter): - raise TypeError("The given dbadapter is not of type ADBAdapter") - - transToVar = {} - for v in vars: - for trans_id in v.coding.iterkeys(): - transToVar.setdefault(trans_id, []).append(v) - - for tId, vs in transToVar.iteritems(): - print tId - query = dbadapter.get_transcript_information(tId) - if query is None: - warnings.warn("Transcript with ID %s not found in DB"%tId) - continue - - tSeq = query[EAdapterFields.SEQ] - geneid = query[EAdapterFields.GENE] - strand = query[EAdapterFields.STRAND] - - - #if its a reverse transcript form the complement of the variants - if strand == "-": - for v in transToVar[tId]: - v.ref = v.ref[::-1].translate(COMPLEMENT) - v.obs = v.obs[::-1].translate(COMPLEMENT) - - vs.sort(key=lambda v: v.genomePos, reverse=True) - if not _check_for_problematic_variants(vs): - warnings.warn("Intersecting variants found for Transcript %s"%tId) - continue - generate_transcripts_from_variants.transOff = 0 - for tId, varSeq, varComb in _generate_combinations(tId, vs, list(tSeq), [], 0): - yield Transcript("".join(varSeq), geneid, tId, _vars=varComb) - -
-
[docs]def generate_transcripts_from_tumor_variants(normal, tumor, dbadapter): - """ - generates all possible transcript variations of the given variants - - :param list(Variant) normal: A list of variants of the normal tissue - :param list(Variant) tumor: A list of variant of the cancer tissue for which transcript should be generated - :param ADBAdapter dbadapter: a DBAdapter to fetch the transcript sequences - :return: (Generator(Transcripts)) -- a generator of transcripts with all - possible variations determined by the given - variant list - """ - def _generate_combinations(tId, vs, seq, usedVs, offset): - """ - recursive variant combination generator - """ - transOff = generate_transcripts_from_tumor_variants.transOff - #print "TransOffset ", transOff, tId,usedVs - if vs: - flag, v = vs.pop() - - if v.isHomozygous: - seq, offset = _incorp.get(v.type, lambda a, b, c, d: (a, d))(seq, v, tId+":FRED2_%i"%transOff, offset) - usedVs.append(v) - for s in _generate_combinations(tId, vs, seq, usedVs, offset): - yield s - else: - vs_tmp = vs[:] - tmp_seq = seq[:] - tmp_usedVs = usedVs[:] - - if flag: - for s in _generate_combinations(tId, vs_tmp, tmp_seq, tmp_usedVs, offset): - yield s - - # update the transcript variant id - old_trans = generate_transcripts_from_tumor_variants.transOff - generate_transcripts_from_tumor_variants.transOff += 1 - transOff = generate_transcripts_from_tumor_variants.transOff - _update_var_offset(usedVs, tId+":FRED2_%i"%old_trans, tId+":FRED2_%i"%(transOff)) - - seq, offset = _incorp.get(v.type, lambda a, b, c, d: (a, d))(seq, v, tId+":FRED2_%i"%transOff, offset) - - usedVs.append(v) - for s in _generate_combinations(tId, vs, seq, usedVs, offset): - yield s - else: - yield tId+":FRED2_%i"%transOff, seq, usedVs - - #1) get all transcripts and sort the variants to transcripts - - #For a transcript do: - #A) get transcript sequences - #B) generate all possible combinations of variants - #C) apply variants to transcript and generate transcript object - - if not isinstance(dbadapter, ADBAdapter): - raise TypeError("The given dbadapter is not of type ADBAdapter") - - transToVar = {} - for v in tumor: - for trans_id in v.coding.iterkeys(): - transToVar.setdefault(trans_id, []).append((False, v)) - - for v in normal: - for trans_id in v.coding.iterkeys(): - if trans_id in transToVar: - transToVar.setdefault(trans_id, []).append((True, v)) - - for tId, vs in transToVar.iteritems(): - query = dbadapter.get_transcript_information(tId) - if query is None: - warnings.warn("Transcript with ID %s not found in DB"%tId) - continue - - tSeq = query[EAdapterFields.SEQ] - geneid = query[EAdapterFields.GENE] - strand = query[EAdapterFields.STRAND] - - - #if its a reverse transcript form the complement of the variants - if strand == "-": - for flag, v in transToVar[tId]: - v.ref = v.ref[::-1].translate(COMPLEMENT) - v.obs = v.obs[::-1].translate(COMPLEMENT) - - vs.sort(key=lambda v: v[1].genomePos, reverse=True) - if not _check_for_problematic_variants(map(lambda x: x[1],vs)): - warnings.warn("Intersecting variants found for Transcript %s"%tId) - continue - - generate_transcripts_from_tumor_variants.transOff = 0 - for tId, varSeq, varComb in _generate_combinations(tId, vs, list(tSeq), [], 0): - yield Transcript("".join(varSeq), geneid, tId, _vars=varComb) - - -################################################################################ -# T R A N S C R I P T = = > P R O T E I N -################################################################################
-
[docs]def generate_proteins_from_transcripts(transcripts, table='Standard', stop_symbol='*', to_stop=False, cds=False): - """ - Enables the translation from a transcript to a protein instance - - :param: list(Transcript)/Transcript - a list of transcripts to translate to proteins - :returns: (Protein) -- the protein that corresponds to the transcript - """ - - if isinstance(transcripts, Transcript): - transcripts = [transcripts] - else: - if any(not isinstance(t, Transcript) for t in transcripts): - raise ValueError("Specified input is not of type Transcript") - - for t in transcripts: - # translate to a protein sequence - #if len(str(self)) % 3 != 0: - # raise ValueError('ERROR while translating: lenght of transcript %s is no multiple of 3, the transcript is:\n %s' % (self.transcript_id, self)) - - #TODO warn if intrasequence stops - biopython warns if % 3 != 0 - prot_seq = str(t.translate(table=table, stop_symbol=stop_symbol, to_stop=to_stop, cds=cds)) - - # only transfer the non-synonymous variants to the protein as an - # dict, also translate into protein positions - new_vars = dict() - for var in t.vars.values(): - if not var.isSynonymous: - pos = var.get_protein_position(t.transcript_id) - new_vars.setdefault(pos, []).append(var) - - gene_id = t.gene_id - yield Protein(prot_seq, gene_id, t.transcript_id, t, new_vars) - - -################################################################################ -# P R O T E I N = = > P E P T I D E -################################################################################ -
-
[docs]def generate_peptides_from_protein(proteins, window_size, peptides=None): - """ - Creates all peptides for a given window size, from a given protein. The - result is a generator. - - :param Protein proteins: (list of) protein(s) from which a list of unique - peptides should be generated - :param int window_size: size of peptide fragments - """ - - def gen_peptide_info(protein): - # Generate peptide sequences and returns the sequence - # #and start position within the protein - res = [] - - seq = str(protein) - for i in xrange(len(protein)+1-window_size): - # generate peptide fragment - end = i+window_size - pep_seq = seq[i:end] - res.append((pep_seq, i)) - return res - - # sequence : peptide-instance - final_peptides = {} if peptides is None else {str(p):p for p in peptides} - - if isinstance(proteins, Protein): - proteins = [proteins] - - if any(not isinstance(p, Protein) for p in proteins): - raise ValueError("Input does contain non protein objects.") - - for prot in proteins: - # generate all peptide sequences per protein: - for (seq, _pos) in gen_peptide_info(prot): - - t_id = prot.transcript_id - if seq not in final_peptides: - final_peptides[seq] = Peptide(seq) - - if t_id not in final_peptides[seq].proteins: - final_peptides[seq].proteins[t_id] = prot - final_peptides[seq].proteinPos[t_id].append(_pos) - - return final_peptides.values()
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/Core/Peptide.html b/Fred2/doc/_build/html/_modules/Fred2/Core/Peptide.html deleted file mode 100644 index 7bd05c7b..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/Core/Peptide.html +++ /dev/null @@ -1,214 +0,0 @@ - - - - - - - - Fred2.Core.Peptide — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.Core.Peptide

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-
-__author__ = 'brachvogel,walzer'
-
-from Bio.Seq import Seq
-from Bio.Alphabet import IUPAC
-
-import Fred2
-from Fred2.Core.Base import MetadataLogger
-
-
-
[docs]class Peptide(MetadataLogger, Seq): - """ - This class encapsulates a Peptide, belonging to one or several Proteins. - - .. note:: For accessing and manipulating the sequence see also :mod:`Bio.Seq.Seq` (from Biopython) - """ - - def __init__(self, _seq, proteins=None, variants=None, transcripts=None): - """ - :param str _seq: sequence of the peptide in one letter amino acid code - :param dict(str,Protein) proteins: dict of transcript_IDs to protein - instances that could generate that - peptide - :param dict(str,list(Variant)) variants: dict of transcript_IDs to a list of - variants that affected the peptide, - (including frame shifts that started not - directly within the peptide) - :param dict(str,Transcript) transcripts: dict of transcript_IDs to - transcript instances that could - have generated the peptide - """ - MetadataLogger.__init__(self) - Seq.__init__(self, _seq, IUPAC.IUPACProtein) - - self.proteins = dict() if proteins is None else proteins - # Enforce dict storage - if proteins and not isinstance(proteins, dict): - raise TypeError("The proteins given to a Peptide object should be dict(str,Protein)") - if proteins and not all(isinstance(v, Fred2.Core.Protein) and isinstance(k, str) for k,v in proteins.iteritems()): - raise TypeError("The proteins given to a Peptide object should be dict(str,Protein)") - - self.transcripts = dict() if transcripts is None else transcripts - # Enforce dict storage - if transcripts and not isinstance(transcripts, dict): - raise TypeError("The transcripts given to a Peptide object should be dict(str,Transcript)") - if transcripts and not all(isinstance(v, Fred2.Core.Transcript) and isinstance(k, str) for k,v in transcripts.iteritems()): - raise TypeError("The proteins given to a Peptide object should be dict(str,Transcript)") - - self.variants = dict() if variants is None else variants - # Enforce dict list storage - if variants and not isinstance(variants, dict): - raise TypeError("The variants given to a Peptide object should be dict(str,list(Variant))") - if variants and not all(isinstance(v, list) and isinstance(k, str) for k,v in variants.iteritems()): - raise TypeError("The variants given to a Peptide object should be dict(str,list(Variant))") - if variants and not all(isinstance(var, Fred2.Core.Variant) for var_list in variants.values() for var in var_list): - raise TypeError("The variants given to a Peptide object should be dict(str,list(Variant))") - #TODO necessary to sanity check if all variants are registered with transcripts? - #TODO move transcripts in front of variants in __init__ signature? make clear: transcripts before variants - #TODO do we actually need variants in __init__ if variants are supposed to be registered in the transcripts? - #TODO in the end OOP is about encapsulating data in a intelligible way - variant is good, keep transcript and protein 'loose' and drop most of the dict stuff?? - - #TODO register dummy transcripts of the Variants if any not registered yet - otherwise repr() will break!!! - for t_id in self.variants: - if t_id not in self.transcripts: - self.transcripts[t_id] = Fred2.Core.Transcript(_seq="", _transcript_id=t_id) - - - def __getitem__(self, index): - """ - Overrides :meth:`Bio.Seq.Seq.__getitem__` (from Biopython) - - :param int index: position in the peptide sequence - :returns: A Peptide consisting of the single letter at position :attr:`index`. - :rtype: Peptide - """ - item = str(self)[index] - new_pept = Peptide(item) - new_pept.proteins = self.proteins - new_pept.variants = self.variants - new_pept.transcripts = self.transcripts - return new_pept - - def __repr__(self): - lines = ["PEPTIDE:\n %s" % str(self)] - #http://stackoverflow.com/questions/1436703/difference-between-str-and-repr-in-python/2626364#2626364 - for t_id in self.transcripts: - lines.append("in TRANSCRIPT: %s" % t_id) - lines.append("\tVARIANTS:") - for var in self.variants[t_id]: - lines.append("\t%s" % var) - for p_id in self.proteins: - lines.append("in PROTEIN: %s" % p_id) - return '\n'.join(lines) - -
[docs] def get_all_variants(self): - """ - :return: a concatenated list of all contained variants - """ - return [var for var_list in self.variants.values() for var in var_list] -
-
[docs] def get_all_proteins(self): - return self.proteins.values() -
-
[docs] def get_all_transcripts(self): - return self.transcripts.values() -
- def __eq__(self, other): - return str(self) == str(other) - - def __lt__(self, other): - return str(self) <= str(other) - - def __ge__(self, other): - return str(self) >= str(other) - - def __cmp__(self, other): - return cmp(str(self), str(other)) - - def __hash__(self): - return hash(str(self))
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/Core/Protein.html b/Fred2/doc/_build/html/_modules/Fred2/Core/Protein.html deleted file mode 100644 index a49e1887..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/Core/Protein.html +++ /dev/null @@ -1,193 +0,0 @@ - - - - - - - - Fred2.Core.Protein — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.Core.Protein

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-
-__author__ = 'schubert,brachvogel,walzer,szolek'
-
-import itertools
-
-from Bio.Seq import Seq
-from Bio.Alphabet import IUPAC
-
-from Fred2.Core.Base import MetadataLogger
-
-
-
[docs]class Protein(MetadataLogger, Seq): - """ - Protein corresponding to exactly one transcript. - - .. note:: - - For accessing and manipulating the sequence see also :mod:`Bio.Seq.Seq` - (from Biopython) - - :param str gene_id: ID of the genome - :param str transcript_id: ID of the corresponding transcript - :param Transcript orig_transcript: Reference to the originating transcript - :param dict(int,list(Variant)) _vars: Nonsynonymous variants that are - assoziated with the protein. - key=position within protein, - value=list of variants at that pos - """ - newid = itertools.count().next #this is evil and has no other purpose? it does not help that there may be more than one protein from one transcript - due to variants - - def __init__(self, _seq, _gene_id="unknown", _transcript_id=None, _orig_transcript=None, _vars=None): - """ - :param str _seq: String of an IUPACProtein alphabet, representing the - protein - :param str _gene_id: ID of the genome the protein originated from - :param str _transcript_id: ID of the transcript the protein originated - from - :param Transcript _orig_transcript: Reference to the originating - transcript - :param dict(int,list(Variant)) _vars: Nonsynonymous variants that are - assoziated with the protein. - key=position within protein, - value=list of variants at that pos - """ - # Init parent type: - MetadataLogger.__init__(self) - Seq.__init__(self, _seq, IUPAC.IUPACProtein) - # Init own member: - if _vars is None: - self.vars = dict() - else: - self.vars = _vars # {prot-position: list(variant)} - self.orig_transcript = _orig_transcript - self.transcript_id = "Protein_%i"%Protein.newid() if _transcript_id is None else _transcript_id - self.gene_id = _gene_id - - def __getitem__(self, index): - """ - - Overrides :meth:`Bio.Seq.Seq.__getitem__` (from Biopython) - - :param int index: position within the primary sequence - :returns: Protein -- A protein consisting of the single letter at - position :attr:`index`. - """ - #TODO: does not work that way. Refactoring needed! - #Do we generate a new transcript ID -> variant's mutation syntax has to be updated as well - #Does it make sense to generate a new transcript as well??? probably not? - item = str(self)[index] - return Protein(item, self.gene_id, self.orig_transcript, self.vars) - - def __repr__(self): - # Header: - lines = [] - lines += ["PROTEIN: %s (aa-seq)" % str(self)] - lines += ["\t %s (orig transcript)"%self.transcript_id] - - # Variants: - lines += ["\t VARIANTS:"] - for vpos, vset in self.vars.iteritems(): - for v in vset: - lines.append('\t pos %i: %s'%(vpos, v)) - - return '\n\t'.join(lines) + '\n' - - def __eq__(self, other): - return str(self) == str(other) - - def __lt__(self, other): - return str(self) <= str(other) - - def __ge__(self, other): - return str(self) >= str(other) - - def __cmp__(self, other): - return cmp(str(self), str(other)) - - def __hash__(self): - return hash(str(self)) -
- -
-
-
- -
- - - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/Core/Result.html b/Fred2/doc/_build/html/_modules/Fred2/Core/Result.html deleted file mode 100644 index fe3a56eb..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/Core/Result.html +++ /dev/null @@ -1,347 +0,0 @@ - - - - - - - - Fred2.Core.Result — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.Core.Result

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: Core.AResult
-   :synopsis: Contains relevant classes describing results of predictions.
-.. moduleauthor:: schubert,
-
-"""
-__author__ = 'schubert'
-
-import abc
-import numpy
-import pandas
-
-
-
[docs]class AResult(pandas.DataFrame): - """ - A AResult object is a DataFrame with with multi-indexing. - - This class is used as interface and can be extended with custom short-cuts for the sometimes often tedious - calls in pandas - """ - __metaclass__ = abc.ABCMeta - - @abc.abstractmethod -
[docs] def filter_result(self, expression): - """ - filter result based on a list of expressions - - :param expression: list((str,comparator,float)) expressions: A list of triples consisting of (method_name, comparator, threshold) - :return: AResult - """ - raise NotImplementedError() -
- @abc.abstractmethod -
[docs] def merge_results(self, others): - """ - Merges results of the same type and returns a merged result - - :param AResult other: - :return: - """ - raise NotImplementedError() - -
-
[docs]class EpitopePredictionResult(AResult): - """ - A AResult object is a DataFrame with with multi-indexing, where column Id are the prediction model (i.e HLA allele - for epitope prediction), row ID the target of the prediction (i.e. peptide) and the second row ID the predictor - (i.e BIMAS) - - Epitope prediction result - """ - -
[docs] def filter_result(self, expressions): - """ - filters a result data frame based on a specified expression consisting - of a list of triple with (method_name, comparator, threshold). The expression is applied to each row. If any of the - columns full fill the criteria the row remains. - - :param list((str,comparator,float)) expressions: A list of triples consisting of (method_name, comparator, threshold) - :return: filtered result object - """ - if isinstance(expressions, tuple): - expressions = [expressions] - - #builde logical expression - masks = map(list, [comp(self.loc[(slice(None), method), :], thr).any(axis=1) - for method, comp, thr in expressions]) - if len(masks) > 1: - masks = numpy.logical_and(*masks) - else: - masks = masks[0] - - #apply to all rows - idx = [f for f in masks - for _ in xrange(len(self.index.levels[1]))] - return EpitopePredictionResult(self.loc[idx, :]) -
-
[docs] def merge_results(self, others): - df = self.copy(deep=False) - - if type(others) == type(self): - others = [others] - - for i in xrange(len(others)): - df1a, df2a = df.align(others[i]) - zero1 = df1a == 0 - zero2 = df2a == 0 - df1a = df1a.fillna(0) - df2a = df2a.fillna(0) - df = df1a+df2a - true_zero = zero1 | zero2 - false_zero = df == 0 - zero = true_zero & false_zero - nans = ~true_zero & false_zero - df[zero] = 0 - df[nans] = numpy.NaN - return EpitopePredictionResult(df) - -
-
[docs]class Distance2SelfResult(AResult): - """ - Distance2Self prediction result - """ - -
[docs] def filter_result(self, expressions): - pass -
-
[docs] def merge_results(self, others): - pass - -
-
[docs]class CleavageSitePredictionResult(AResult): - """ - Epitope prediction result - """ - -
[docs] def filter_result(self, expressions): - """ - filters a result data frame based on a specified expression consisting - of a list of triple with (method_name, comparator, threshold). The expression is applied to each row. If any of the - columns full fill the criteria the row remains. - - :param list((str,comparator,float)) expressions: A list of triples consisting of (method_name, comparator, threshold) - :return: filtered result object - """ - if isinstance(expressions, tuple): - expressions = [expressions] - - #builde logical expression - masks = [list(comp(self.loc[:, method], thr)) for method, comp, thr in expressions] - - if len(masks) > 1: - masks = numpy.logical_and(*masks) - else: - masks = masks[0] - #apply to all rows - - return CleavageSitePredictionResult(self.loc[masks, :]) -
-
[docs] def merge_results(self, others): - if type(others) == type(self): - others = [others] - df = self - - for i in xrange(len(others)): - o = others[i] - df1a,df2a = df.align(o,) - - o_diff = o.index.difference(df.index) - d_diff = df.index.difference(o.index) - - if len(d_diff) and len(o_diff): - df2a.loc[d_diff,"Seq"] = "" - df1a.loc[o_diff, "Seq"] = "" - elif len(o_diff): - df2a.loc[df.index.intersection(o.index), "Seq"] = "" - df1a.loc[o_diff, "Seq"] = "" - elif len(d_diff): - df2a.loc[d_diff,"Seq"] = "" - df1a.loc[o.index.intersection(df.index), "Seq"] = "" - else: - df2a.loc[o.index, "Seq"] = "" - - zero1 = df1a == 0 - zero2 = df2a == 0 - true_zero = zero1 | zero2 - - df1 = df1a.fillna(0) - df2 = df2a.fillna(0) - - df_merged = df1+df2 - false_zero = df_merged == 0 - zero = true_zero & false_zero - - - - nans = ~true_zero & false_zero - df_merged = df_merged.where(~zero, other=0) - df_merged = df_merged.where(~nans, other=numpy.NaN) - df = df_merged - return CleavageSitePredictionResult(df) - -
-
[docs] def get_peptides(self,expression, length=9): - pass - -
-
[docs]class CleavageFragmentPredictionResult(AResult): - """ - Epitope prediction result - """ - -
[docs] def filter_result(self, expressions): - """ - filters a result data frame based on a specified expression consisting - of a list of triple with (method_name, comparator, threshold). The expression is applied to each row. If any of the - columns full fill the criteria the row remains. - - :param list((str,comparator,float)) expressions: A list of triples consisting of (method_name, comparator, threshold) - :return: filtered result object - """ - - if isinstance(expressions, tuple): - expressions = [expressions] - - masks = [list(comp(self.loc[:, method], thr)) for method, comp, thr in expressions] - - if len(masks) > 1: - masks = numpy.logical_and(*masks) - else: - masks = masks[0] - #apply to all rows - return CleavageFragmentPredictionResult(self.loc[masks, :]) -
-
[docs] def merge_results(self, others): - if type(others) == type(self): - others = [others] - - return CleavageFragmentPredictionResult(pandas.concat([self]+others, axis=1)) - -
-
[docs]class TAPPredictionResult(AResult): - """ - Epitope prediction result - """ - -
[docs] def filter_result(self, expressions): - """ - filters a result data frame based on a specified expression consisting - of a list of triple with (method_name, comparator, threshold). The expression is applied to each row. If any of the - columns full fill the criteria the row remains. - - :param list((str,comparator,float)) expressions: A list of triples consisting of (method_name, comparator, threshold) - :return: filtered result object - """ - if isinstance(expressions, tuple): - expressions = [expressions] - - masks = [list(comp(self.loc[:, method], thr)) for method, comp, thr in expressions] - - if len(masks) > 1: - masks = numpy.logical_and(*masks) - else: - masks = masks[0] - #apply to all rows - - return TAPPredictionResult(self.loc[masks, :]) -
-
[docs] def merge_results(self, others): - if type(others) == type(self): - others = [others] - - return TAPPredictionResult(pandas.concat([self]+others, axis=1))
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/Core/Transcript.html b/Fred2/doc/_build/html/_modules/Fred2/Core/Transcript.html deleted file mode 100644 index f37af5c7..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/Core/Transcript.html +++ /dev/null @@ -1,181 +0,0 @@ - - - - - - - - Fred2.Core.Transcript — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.Core.Transcript

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: Core.Transcript
-   :synopsis: Contains the Transcript Class.
-.. moduleauthor:: brachvogel, schubert, walzer
-
-"""
-
-import itertools
-
-from Bio.Seq import Seq
-from Bio.Alphabet import generic_rna
-
-from Fred2.Core.Protein import Protein
-from Fred2.Core.Base import MetadataLogger
-
-
-
[docs]class Transcript(MetadataLogger, Seq): - """A Transcript is the mRNA sequence containing at no or several variations. - - .. note:: - - For accessing and manipulating the sequence see also :mod:`Bio.Seq.Seq` - (from Biopython) - - :param str gene_id: Genome ID - :param str transcript_id: Transcript RefSeqID - :param dict(int,Variant) vars: Dict of Variants for specific positions in - the transcript. key=position, value=Variant - """ - newid = itertools.count().next #this is evil - - def __init__(self, _seq, _gene_id="unknown", _transcript_id=None, _vars=None): - """ - :param str _gene_id: input genome ID - :param str _transcript_id: input transcript RefSeqID - :param str _seq: Transcript RefSeq sequence - :param list(Variant) _vars: a list of Variants which internal positions are specific to the transcript. - """ - MetadataLogger.__init__(self) - Seq.__init__(self, _seq, generic_rna) - self.gene_id = _gene_id - self.transcript_id = Transcript.newid() if _transcript_id is None else _transcript_id - #TODO: this is not what the doc string says: - if _vars is not None: - self.vars = {v.get_transcript_position(_transcript_id): v for v in _vars} - - else: - self.vars = dict() - - def __getitem__(self, index): - """ - Overrides :meth:`Bio.Seq.Seq.__getitem__` (from Biopython) - - :param int index: position - :returns: (Transcript) -- A Transcript consisting of the single - letter at position :attr:`index`. - """ - #TODO: Refactoring. Does not work that way - #how should we deal with these changes? should we generate a new ID? - #how do we guarantee a unique ID? - #Mutation Syntax of variants has to be updated as well - item = str(self)[index] - return Transcript(self.vars, self.transcript_id, item) - - def __repr__(self): - lines = ["TRANSCRIPT: %s" % self.transcript_id] - # get all variants: - lines += ["VARIANTS:"] - for vpos, var in self.vars.iteritems(): - lines.append('\tpos %i: %s'%(vpos, var)) - lines += ["SEQUENCE: %s (mRNA)"%str(self)] - return '\n\t'.join(lines) - - def __eq__(self, other): - return str(self) == str(other) - - def __lt__(self, other): - return str(self) <= str(other) - - def __ge__(self, other): - return str(self) >= str(other) - - def __cmp__(self, other): - return cmp(str(self), str(other)) - - def __hash__(self): - return hash(str(self))
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/Core/Variant.html b/Fred2/doc/_build/html/_modules/Fred2/Core/Variant.html deleted file mode 100644 index ebec90bc..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/Core/Variant.html +++ /dev/null @@ -1,242 +0,0 @@ - - - - - - - - Fred2.Core.Variant — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.Core.Variant

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: Variant
-   :synopsis: Contains relevant classes describing variants.
-.. moduleauthor:: schubert, szolek, walzer
-
-"""
-import math
-
-from Fred2.Core.Base import MetadataLogger
-
-
-VariationType = (lambda **enums: type('Enum', (), enums))(SNP=0,
-                                                          DEL=1,
-                                                          INS=2,
-                                                          FSDEL=3,
-                                                          FSINS=4,
-                                                          UNKNOWN=5)
-"""
-Enum for variation types:
-type.SNP, type.DEL, type.INS, type.FSDEL, type.FSINS, type.UNKNOWN
-"""
-
-
-
[docs]class MutationSyntax(): - """ - This class represents the mutation syntax of a variant and stores its - transcript and protein position - - :param str transID: the transcript id - :param int transPos: the position of the variant within the transcript - :param int protPos: the protein position of the variant within the - transcript - :param str cds: the complete cds_mutation_syntax string - :param str aas: the complete protein_mutation_syntax string - """ - def __init__(self, transID, transPos, protPos, cds, aas): - #TODO: is protPos always given? what about synonymous variants? - self.transID = transID - self.tranPos = transPos - self.protPos = protPos - self.cdsMutationSyntax = cds #c. ... - self.aaMutationSyntax = aas #p. ... - -
-
[docs]class Variant(MetadataLogger): - """ - A Variant contains information about a single genetic modification of - the reference genome. - - :param str id: Variant id - :param Enum.VariationType type: An Enum type of the variant either SNP, - DEL, or INS - :param str chrom: The chromosome on which the variant lies - :param int genomePos: The genomic position of the variant - :param str ref: The reference seq at the genomic position - :param str obs: The observed variation at the genomic position - :param dict(str,MutationSyntax) coding: A dictionary of associated - transcripts. Key=transcript_id, - value=MutationSyntax - :param bool isHomozygous: defines if variant is homozygous or not - :param bool isSynonymous: defines if variant is a synonymous mutation - or not - :param dict(str,int) offsets: the position offset this variant has in a - specific transcript-variant - key=transcript-variant-id (xxx:FRED2_nn) - value=offset - :param defaultdict(list) metadata: meta information (not relevant for core - functionality of Fred2) - - """ - def __init__(self, id, type, chrom, genomePos, ref, obs, coding, - isHomozygous, isSynonymous, experimentalDesign=None, metadata=None): - """ - Constructor for a variant, see init-types in class parameters - """ - MetadataLogger.__init__(self) - self.id = id - self.type = type - self.chrom = chrom - self.genomePos = genomePos - self.ref = ref - self.obs = obs - self.gene = None - self.isHomozygous = isHomozygous - self.isSynonymous = isSynonymous - self.offsets = {} - self.coding = coding # dict transcript_id:MutationSyntax - self.experimentalDesign = "" if experimentalDesign is None else experimentalDesign - - if metadata is not None: - for meta in metadata: - self.log_metadata(meta, metadata[meta]) - - def __repr__(self): - return "Variant(g.%i%s>%s):%s" % (self.genomePos, self.ref, self.obs, self.experimentalDesign) \ - if self.experimentalDesign else "Variant(g.%i%s>%s)" % (self.genomePos, self.ref, self.obs) - -
[docs] def get_transcript_offset(self): - return len(self.obs) - len(self.ref) -
-
[docs] def get_shift(self): - return self.get_transcript_offset() % 3 -
-
[docs] def get_transcript_position(self, trans_variant_id): - """ - .. note:: May only be used for transcript variants that were created from this variant via :func: - `Generator.generate_transcripts_from_variants`. - ..TODO:: what? that should not be encoded in transcript id but in separate member - - returns the specific transcript position of a given transcript_id. - If variant is not associated with the given transcript id the function - throws a KeyError - - :param str transcriptId: A transcript_id - :return: (int) -- transcript position - :raises: KeyError - """ - trans_id = trans_variant_id.split(":FRED2_")[0] - try: - return self.coding[trans_id].tranPos + \ - self.offsets.get(trans_variant_id, 0) - except KeyError: - raise KeyError("Transcript ID %s not associated with variant %s"% - (trans_variant_id, str(self))) -
-
[docs] def get_protein_position(self, trans_variant_id): - """ - .. note:: May only be used for transcript variants that were created from this variant via :func: - `Generator.generate_transcripts_from_variants`. - ..TODO:: what? that should not be encoded in transcript id but in separate member - - returns the specific protein position of a given transcript_id. If - variant is not associated with the given transcript id the function - throws a KeyError - - :param str transcriptId: A transcript_id - :return: (int) -- the protein position of the variant - :raises: KeyError - """ - trans_id = trans_variant_id.split(":FRED2_")[0] - try: - # get actual transcript position - tpos = self.coding[trans_id].tranPos + \ - self.offsets.get(trans_variant_id, 0) - except KeyError: - raise KeyError("Transcript ID %s not associated with variant %s"% - (str(trans_variant_id), self.__str__)) - return int(math.ceil(tpos/3.0)) # generate protein pos from transcript pos
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/Distance2Self/DistanceMatrix.html b/Fred2/doc/_build/html/_modules/Fred2/Distance2Self/DistanceMatrix.html deleted file mode 100644 index 6578b569..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/Distance2Self/DistanceMatrix.html +++ /dev/null @@ -1,141 +0,0 @@ - - - - - - - - Fred2.Distance2Self.DistanceMatrix — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.Distance2Self.DistanceMatrix

-__author__ = 'mohr'
-
-import datetime
-import os
-from collections import OrderedDict
-
-
-class DistanceMatrix(object):
-
[docs] - def __init__(self, data, name="DistanceMatrix"): - self.__matrix = data - self.name = name - assert isinstance(data, OrderedDict), 'DistanceMatrix object has to be initiated with dictionary.' - - def __str__(self): - repr = '\t' - repr += '\t'.join(self.__matrix.keys()) - repr += '\n' - for k in self.__matrix.keys(): - lineStr = '%s\t' % k - for kk in self.__matrix[k].keys(): - lineStr += '%s\t' % self.__matrix[k][kk] - - repr += '%s\n' % lineStr - return repr - - def to_file(self, file_path): -
[docs] with open(file_path, 'w') as newMatrixFile: - for k in self.__matrix.keys(): - lineStr = '%s ' % k - for kk in self.__matrix[k].keys(): - lineStr += '%s ' % self.__matrix[k][kk] - newMatrixFile.write(lineStr + '\n') - - def from_file(self, file_path):
-
[docs] with open(file_path, 'r') as matrixFile: - matrixDict = OrderedDict([]) - aas = [] - distances = [] - for line in matrixFile: - values = line.strip().split(' ') - aas.append(values[0]) - distances.append(values[1:]) - - for aa, vals in zip(aas, distances): - matrixValues = OrderedDict([]) - for aaa, v in zip(aas,vals): - matrixValues[aaa] = v - matrixDict[aa] = matrixValues - self.__matrix = matrixDict -
- -
-
- - -
- - - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/EpitopePrediction.html b/Fred2/doc/_build/html/_modules/Fred2/EpitopePrediction.html deleted file mode 100644 index 5c7c6d6c..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/EpitopePrediction.html +++ /dev/null @@ -1,144 +0,0 @@ - - - - - - - - Fred2.EpitopePrediction — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.EpitopePrediction

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: EpitopePrediction
-   :synopsis: Factory classes for cleavage site and fragment prediction.
-              This is the entry point to all cleavage prediction methods.
-.. moduleauthor:: schubert
-
-"""
-
-from Fred2.Core.Base import AEpitopePrediction
-from Fred2.EpitopePrediction.External import *
-from Fred2.EpitopePrediction.PSSM import *
-from Fred2.EpitopePrediction.SVM import *
-try:
-    from fred_plugin import *
-except ImportError:
-    pass
-
-
-
[docs]class EpitopePredictorFactory(object): - class __metaclass__(type): - def __init__(cls, name, bases, nmspc): - type.__init__(cls, name, bases, nmspc) - - def __call__(self, _predictor, *args, **kwargs): - ''' - just as I think it works..... - - If a third person wants to write a new Epitope Predictior. He/She has to name the file fred_plugin and - inherit from AEpitopePrediction. That's it nothing more. - ''' - - version = str(kwargs["version"]).lower() if "version" in kwargs else None - try: - return AEpitopePrediction[str(_predictor).lower(), version](*args) - except KeyError as e: - if version is None: - raise ValueError("Predictor %s is not known. Please verify that such an Predictor is "%_predictor + - "supported by FRED2 and inherits AEpitopePredictor.") - else: - raise ValueError("Predictor %s version %s is not known. Please verify that such an Predictor is "%(_predictor, version) + - "supported by FRED2 and inherits AEpitopePredictor.") - - @staticmethod -
[docs] def available_methods(): - """ - Returns a list of available epitope predictors - - :return: list of epitope predictors represented as string - """ - return {k:sorted(versions.iterkeys()) for k,versions in AEpitopePrediction.registry.iteritems() }
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/EpitopePrediction/External.html b/Fred2/doc/_build/html/_modules/Fred2/EpitopePrediction/External.html deleted file mode 100644 index 474af278..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/EpitopePrediction/External.html +++ /dev/null @@ -1,1644 +0,0 @@ - - - - - - - - Fred2.EpitopePrediction.External — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.EpitopePrediction.External

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: EpitopePrediction.ANN
-   :synopsis: This module contains all classes for ANN-based epitope prediction methods.
-.. moduleauthor:: schubert,  walzer
-
-"""
-
-
-import itertools
-import warnings
-import pandas
-import subprocess
-import csv
-import os
-import math
-
-from collections import defaultdict
-
-from Fred2.Core.Allele import Allele
-from Fred2.Core.Peptide import Peptide
-from Fred2.Core.Result import EpitopePredictionResult
-from Fred2.Core.Base import AEpitopePrediction, AExternal
-from tempfile import NamedTemporaryFile
-
-
-
[docs]class AExternalEpitopePrediction(AEpitopePrediction, AExternal): - """ - Abstract class representing NetMHC prediction function. These are wrapper of external binaries - - - """ - -
[docs] def predict(self, peptides, alleles=None, **kwargs): - - if not self.is_in_path() and "path" not in kwargs: - raise RuntimeError("{name} {version} could not be found in PATH".format(name=self.name, - version=self.version)) - external_version = self.get_external_version(path=kwargs.get("path", None)) - if self.version != external_version and external_version is not None: - raise RuntimeError("Internal version {internal_version} does " - "not match external version {external_version}".format(internal_version=self.version, - external_version=external_version)) - - if isinstance(peptides, Peptide): - pep_seqs = {str(peptides):peptides} - else: - if any(not isinstance(p, Peptide) for p in peptides): - raise ValueError("Input is not of type Protein or Peptide") - pep_seqs = {str(p): p for p in peptides} - - if alleles is None: - al = [Allele("HLA-"+a) for a in self.supportedAlleles] - allales_string = {conv_a: a for conv_a, a in itertools.izip(self.convert_alleles(al), al)} - else: - if isinstance(alleles, Allele): - alleles = [alleles] - if any(not isinstance(p, Allele) for p in alleles): - raise ValueError("Input is not of type Allele") - allales_string ={conv_a: a for conv_a, a in itertools.izip(self.convert_alleles(alleles),alleles)} - - result = defaultdict(defaultdict) - - #group alleles in blocks of 80 alleles (NetMHC can't deal with more) - _MAX_ALLELES = 50 - - #allowe customary executable specification - if "path" in kwargs: - exe = self.command.split()[0] - _command = self.command.replace(exe, kwargs["path"]) - else: - _command = self.command - - allele_groups = [] - c_a = 0 - allele_group = [] - for a in allales_string.iterkeys(): - if c_a >= _MAX_ALLELES: - c_a = 0 - allele_groups.append(allele_group) - if str(allales_string[a]) not in self.supportedAlleles: - warnings.warn("Allele %s is not supported by %s"%(str(allales_string[a]),self.name)) - allele_group = [] - continue - allele_group = [a] - else: - if str(allales_string[a]) not in self.supportedAlleles: - warnings.warn("Allele %s is not supported by %s"%(str(allales_string[a]),self.name)) - continue - allele_group.append(a) - c_a += 1 - - if len(allele_group) > 0: - allele_groups.append(allele_group) - #export peptides to peptide list - - for length, peps in itertools.groupby(pep_seqs.iterkeys(), key= lambda x: len(x)): - if length < min(self.supportedLength): - warnings.warn("Peptide length must be at least %i for %s but is %i"%(min(self.supportedLength), - self.name, length)) - continue - peps = list(peps) - tmp_out = NamedTemporaryFile(delete=False) - tmp_file = NamedTemporaryFile(delete=False) - self.prepare_peptide_input(peps, tmp_file) -# tmp_file.write("\n".join(">pepe_%i\n%s"%(i, p) for i, p in enumerate(peps)) -# if self.name.lower() in ["netmhcii","netctlpan"] else "\n".join(peps)) - tmp_file.close() - - #generate cmd command - for allele_group in allele_groups: - try: - stdo = None - stde = None - cmd = _command.format(peptides=tmp_file.name, alleles=",".join(allele_group), - options=kwargs.get("options", ""), out=tmp_out.name) - p = subprocess.Popen(cmd, shell=True, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE) - p.wait() #block the rest - stdo, stde = p.communicate() - stdr = p.returncode - if stdr > 0: - raise RuntimeError("Unsuccessful execution of " + cmd + " (EXIT!=0) with error: " + stde) - except Exception as e: - raise RuntimeError(e) - - res_tmp = self.parse_external_result(tmp_out.name) - for al, ep_dict in res_tmp.iteritems(): - for p, v in ep_dict.iteritems(): - result[allales_string[al]][pep_seqs[p]] = v - os.remove(tmp_file.name) - tmp_out.close() - os.remove(tmp_out.name) - - if not result: - raise ValueError("No predictions could be made with " +self.name+" for given input. Check your epitope length and HLA allele combination.") - df_result = EpitopePredictionResult.from_dict(result) - df_result.index = pandas.MultiIndex.from_tuples([tuple((i,self.name)) for i in df_result.index], - names=['Seq','Method']) - return df_result - -
-
[docs]class NetMHC_3_4(AExternalEpitopePrediction): - """ - Implements the NetMHC binding (in current form for netMHC3.4) - Possibility could exist for function injection to support also older versions - - """ - - __alleles = frozenset(['A*01:01', 'A*02:01', 'A*02:02', 'A*02:03', 'A*02:06', 'A*02:11', 'A*02:12', 'A*02:16', - 'A*02:17', 'A*02:19', 'A*02:50', 'A*03:01', 'A*11:01', 'A*23:01', 'A*24:02', 'A*24:03', - 'A*25:01', 'A*26:01', 'A*26:02', 'A*26:03', 'A*29:02', 'A*30:01', 'A*30:02', 'A*31:01', - 'A*32:01', 'A*32:07', 'A*32:15', 'A*33:01', 'A*66:01', 'A*68:01', 'A*68:02', 'A*68:23', - 'A*69:01', 'A*80:01', 'B*07:02', 'B*08:01', 'B*08:02', 'B*08:03', 'B*14:02', 'B*15:01', - 'B*15:02', 'B*15:03', 'B*15:09', 'B*15:17', 'B*18:01', 'B*27:05', 'B*27:20', 'B*35:01', - 'B*35:03', 'B*38:01', 'B*39:01', 'B*40:01', 'B*40:02', 'B*40:13', 'B*42:01', 'B*44:02', - 'B*44:03', 'B*45:01', 'B*46:01', 'B*48:01', 'B*51:01', 'B*53:01', 'B*54:01', 'B*57:01', - 'B*58:01', 'B*73:01', 'B*83:01', 'C*03:03', 'C*04:01', 'C*05:01', 'C*06:02', 'C*07:01', - 'C*07:02', 'C*08:02', 'C*12:03', 'C*14:02', 'C*15:02', 'E*01:01']) - __supported_length = frozenset([8, 9, 10, 11]) - __name = "netmhc" - __command = "netMHC -p {peptides} -a {alleles} -x {out} {options}" - __version = "3.4" - - @property - def version(self): - return self.__version - -
[docs] def convert_alleles(self, alleles): - return ["HLA-%s%s:%s"%(a.locus, a.supertype, a.subtype) for a in alleles] -
- @property - def supportedAlleles(self): - return self.__alleles - - @property - def name(self): - return self.__name - - @property - def command(self): - return self.__command - - @property - def supportedLength(self): - return self.__supported_length - -
[docs] def parse_external_result(self, _file): - result = defaultdict(defaultdict) - f = csv.reader(open(_file, "r"), delimiter='\t') - f.next() - f.next() - alleles = map(lambda x: x.split()[0], f.next()[3:]) - for l in f: - if not l: - continue - pep_seq = l[2] - for ic_50, a in itertools.izip(l[3:], alleles): - sc = 1.0 - math.log(float(ic_50), 50000) - result[a][pep_seq] = sc if sc > 0.0 else 0.0 - return dict(result) -
-
[docs] def predict(self, peptides, alleles=None, **kwargs): - return super(NetMHC_3_4, self).predict(peptides, alleles=alleles, **kwargs) -
-
[docs] def get_external_version(self, path=None): - return super(NetMHC_3_4, self).get_external_version(path) -
-
[docs] def prepare_peptide_input(self, _peptides, _file): - _file.write("\n".join(_peptides)) - -
-
[docs]class NetMHCpan_2_4(AExternalEpitopePrediction): - """ - Implements the NetMHC binding (in current form for netMHCpan 2.4) - Possibility could exist for function injection to support also older versions - - Supported MHC alleles currently only restricted to HLA alleles - """ - __supported_length = frozenset([8, 9, 10, 11]) - __name = "netmhcpan" - __command = "netMHCpan -p {peptides} -a {alleles} {options} -ic50 -xls -xlsfile {out}" - __alleles = frozenset(['A*01:01', 'A*01:02', 'A*01:03', 'A*01:06', 'A*01:07', 'A*01:08', 'A*01:09', 'A*01:10', 'A*01:12', - 'A*01:13', 'A*01:14', 'A*01:17', 'A*01:19', 'A*01:20', 'A*01:21', 'A*01:23', 'A*01:24', 'A*01:25', - 'A*01:26', 'A*01:28', 'A*01:29', 'A*01:30', 'A*01:32', 'A*01:33', 'A*01:35', 'A*01:36', 'A*01:37', - 'A*01:38', 'A*01:39', 'A*01:40', 'A*01:41', 'A*01:42', 'A*01:43', 'A*01:44', 'A*01:45', 'A*01:46', - 'A*01:47', 'A*01:48', 'A*01:49', 'A*01:50', 'A*01:51', 'A*01:54', 'A*01:55', 'A*01:58', 'A*01:59', - 'A*01:60', 'A*01:61', 'A*01:62', 'A*01:63', 'A*01:64', 'A*01:65', 'A*01:66', 'A*02:01', 'A*02:02', - 'A*02:03', 'A*02:04', 'A*02:05', 'A*02:06', 'A*02:07', 'A*02:08', 'A*02:09', 'A*02:10', 'A*02:101', - 'A*02:102', 'A*02:103', 'A*02:104', 'A*02:105', 'A*02:106', 'A*02:107', 'A*02:108', 'A*02:109', - 'A*02:11', 'A*02:110', 'A*02:111', 'A*02:112', 'A*02:114', 'A*02:115', 'A*02:116', 'A*02:117', - 'A*02:118', 'A*02:119', 'A*02:12', 'A*02:120', 'A*02:121', 'A*02:122', 'A*02:123', 'A*02:124', - 'A*02:126', 'A*02:127', 'A*02:128', 'A*02:129', 'A*02:13', 'A*02:130', 'A*02:131', 'A*02:132', - 'A*02:133', 'A*02:134', 'A*02:135', 'A*02:136', 'A*02:137', 'A*02:138', 'A*02:139', 'A*02:14', - 'A*02:140', 'A*02:141', 'A*02:142', 'A*02:143', 'A*02:144', 'A*02:145', 'A*02:146', 'A*02:147', - 'A*02:148', 'A*02:149', 'A*02:150', 'A*02:151', 'A*02:152', 'A*02:153', 'A*02:154', 'A*02:155', - 'A*02:156', 'A*02:157', 'A*02:158', 'A*02:159', 'A*02:16', 'A*02:160', 'A*02:161', 'A*02:162', - 'A*02:163', 'A*02:164', 'A*02:165', 'A*02:166', 'A*02:167', 'A*02:168', 'A*02:169', 'A*02:17', - 'A*02:170', 'A*02:171', 'A*02:172', 'A*02:173', 'A*02:174', 'A*02:175', 'A*02:176', 'A*02:177', - 'A*02:178', 'A*02:179', 'A*02:18', 'A*02:180', 'A*02:181', 'A*02:182', 'A*02:183', 'A*02:184', - 'A*02:185', 'A*02:186', 'A*02:187', 'A*02:188', 'A*02:189', 'A*02:19', 'A*02:190', 'A*02:191', - 'A*02:192', 'A*02:193', 'A*02:194', 'A*02:195', 'A*02:196', 'A*02:197', 'A*02:198', 'A*02:199', - 'A*02:20', 'A*02:200', 'A*02:201', 'A*02:202', 'A*02:203', 'A*02:204', 'A*02:205', 'A*02:206', - 'A*02:207', 'A*02:208', 'A*02:209', 'A*02:21', 'A*02:210', 'A*02:211', 'A*02:212', 'A*02:213', - 'A*02:214', 'A*02:215', 'A*02:216', 'A*02:217', 'A*02:218', 'A*02:219', 'A*02:22', 'A*02:220', - 'A*02:221', 'A*02:224', 'A*02:228', 'A*02:229', 'A*02:230', 'A*02:231', 'A*02:232', 'A*02:233', - 'A*02:234', 'A*02:235', 'A*02:236', 'A*02:237', 'A*02:238', 'A*02:239', 'A*02:24', 'A*02:240', - 'A*02:241', 'A*02:242', 'A*02:243', 'A*02:244', 'A*02:245', 'A*02:246', 'A*02:247', 'A*02:248', - 'A*02:249', 'A*02:25', 'A*02:251', 'A*02:252', 'A*02:253', 'A*02:254', 'A*02:255', 'A*02:256', - 'A*02:257', 'A*02:258', 'A*02:259', 'A*02:26', 'A*02:260', 'A*02:261', 'A*02:262', 'A*02:263', - 'A*02:264', 'A*02:265', 'A*02:266', 'A*02:27', 'A*02:28', 'A*02:29', 'A*02:30', 'A*02:31', 'A*02:33', - 'A*02:34', 'A*02:35', 'A*02:36', 'A*02:37', 'A*02:38', 'A*02:39', 'A*02:40', 'A*02:41', 'A*02:42', - 'A*02:44', 'A*02:45', 'A*02:46', 'A*02:47', 'A*02:48', 'A*02:49', 'A*02:50', 'A*02:51', 'A*02:52', - 'A*02:54', 'A*02:55', 'A*02:56', 'A*02:57', 'A*02:58', 'A*02:59', 'A*02:60', 'A*02:61', 'A*02:62', - 'A*02:63', 'A*02:64', 'A*02:65', 'A*02:66', 'A*02:67', 'A*02:68', 'A*02:69', 'A*02:70', 'A*02:71', - 'A*02:72', 'A*02:73', 'A*02:74', 'A*02:75', 'A*02:76', 'A*02:77', 'A*02:78', 'A*02:79', 'A*02:80', - 'A*02:81', 'A*02:84', 'A*02:85', 'A*02:86', 'A*02:87', 'A*02:89', 'A*02:90', 'A*02:91', 'A*02:92', - 'A*02:93', 'A*02:95', 'A*02:96', 'A*02:97', 'A*02:99', 'A*03:01', 'A*03:02', 'A*03:04', 'A*03:05', - 'A*03:06', 'A*03:07', 'A*03:08', 'A*03:09', 'A*03:10', 'A*03:12', 'A*03:13', 'A*03:14', 'A*03:15', - 'A*03:16', 'A*03:17', 'A*03:18', 'A*03:19', 'A*03:20', 'A*03:22', 'A*03:23', 'A*03:24', 'A*03:25', - 'A*03:26', 'A*03:27', 'A*03:28', 'A*03:29', 'A*03:30', 'A*03:31', 'A*03:32', 'A*03:33', 'A*03:34', - 'A*03:35', 'A*03:37', 'A*03:38', 'A*03:39', 'A*03:40', 'A*03:41', 'A*03:42', 'A*03:43', 'A*03:44', - 'A*03:45', 'A*03:46', 'A*03:47', 'A*03:48', 'A*03:49', 'A*03:50', 'A*03:51', 'A*03:52', 'A*03:53', - 'A*03:54', 'A*03:55', 'A*03:56', 'A*03:57', 'A*03:58', 'A*03:59', 'A*03:60', 'A*03:61', 'A*03:62', - 'A*03:63', 'A*03:64', 'A*03:65', 'A*03:66', 'A*03:67', 'A*03:70', 'A*03:71', 'A*03:72', 'A*03:73', - 'A*03:74', 'A*03:75', 'A*03:76', 'A*03:77', 'A*03:78', 'A*03:79', 'A*03:80', 'A*03:81', 'A*03:82', - 'A*11:01', 'A*11:02', 'A*11:03', 'A*11:04', 'A*11:05', 'A*11:06', 'A*11:07', 'A*11:08', 'A*11:09', - 'A*11:10', 'A*11:11', 'A*11:12', 'A*11:13', 'A*11:14', 'A*11:15', 'A*11:16', 'A*11:17', 'A*11:18', - 'A*11:19', 'A*11:20', 'A*11:22', 'A*11:23', 'A*11:24', 'A*11:25', 'A*11:26', 'A*11:27', 'A*11:29', - 'A*11:30', 'A*11:31', 'A*11:32', 'A*11:33', 'A*11:34', 'A*11:35', 'A*11:36', 'A*11:37', 'A*11:38', - 'A*11:39', 'A*11:40', 'A*11:41', 'A*11:42', 'A*11:43', 'A*11:44', 'A*11:45', 'A*11:46', 'A*11:47', - 'A*11:48', 'A*11:49', 'A*11:51', 'A*11:53', 'A*11:54', 'A*11:55', 'A*11:56', 'A*11:57', 'A*11:58', - 'A*11:59', 'A*11:60', 'A*11:61', 'A*11:62', 'A*11:63', 'A*11:64', 'A*23:01', 'A*23:02', 'A*23:03', - 'A*23:04', 'A*23:05', 'A*23:06', 'A*23:09', 'A*23:10', 'A*23:12', 'A*23:13', 'A*23:14', 'A*23:15', - 'A*23:16', 'A*23:17', 'A*23:18', 'A*23:20', 'A*23:21', 'A*23:22', 'A*23:23', 'A*23:24', 'A*23:25', - 'A*23:26', 'A*24:02', 'A*24:03', 'A*24:04', 'A*24:05', 'A*24:06', 'A*24:07', 'A*24:08', 'A*24:10', - 'A*24:100', 'A*24:101', 'A*24:102', 'A*24:103', 'A*24:104', 'A*24:105', 'A*24:106', 'A*24:107', - 'A*24:108', 'A*24:109', 'A*24:110', 'A*24:111', 'A*24:112', 'A*24:113', 'A*24:114', 'A*24:115', - 'A*24:116', 'A*24:117', 'A*24:118', 'A*24:119', 'A*24:120', 'A*24:121', 'A*24:122', 'A*24:123', - 'A*24:124', 'A*24:125', 'A*24:126', 'A*24:127', 'A*24:128', 'A*24:129', 'A*24:13', 'A*24:130', - 'A*24:131', 'A*24:133', 'A*24:134', 'A*24:135', 'A*24:136', 'A*24:137', 'A*24:138', 'A*24:139', - 'A*24:14', 'A*24:140', 'A*24:141', 'A*24:142', 'A*24:143', 'A*24:144', 'A*24:15', 'A*24:17', 'A*24:18', - 'A*24:19', 'A*24:20', 'A*24:21', 'A*24:22', 'A*24:23', 'A*24:24', 'A*24:25', 'A*24:26', 'A*24:27', - 'A*24:28', 'A*24:29', 'A*24:30', 'A*24:31', 'A*24:32', 'A*24:33', 'A*24:34', 'A*24:35', 'A*24:37', - 'A*24:38', 'A*24:39', 'A*24:41', 'A*24:42', 'A*24:43', 'A*24:44', 'A*24:46', 'A*24:47', 'A*24:49', - 'A*24:50', 'A*24:51', 'A*24:52', 'A*24:53', 'A*24:54', 'A*24:55', 'A*24:56', 'A*24:57', 'A*24:58', - 'A*24:59', 'A*24:61', 'A*24:62', 'A*24:63', 'A*24:64', 'A*24:66', 'A*24:67', 'A*24:68', 'A*24:69', - 'A*24:70', 'A*24:71', 'A*24:72', 'A*24:73', 'A*24:74', 'A*24:75', 'A*24:76', 'A*24:77', 'A*24:78', - 'A*24:79', 'A*24:80', 'A*24:81', 'A*24:82', 'A*24:85', 'A*24:87', 'A*24:88', 'A*24:89', 'A*24:91', - 'A*24:92', 'A*24:93', 'A*24:94', 'A*24:95', 'A*24:96', 'A*24:97', 'A*24:98', 'A*24:99', 'A*25:01', - 'A*25:02', 'A*25:03', 'A*25:04', 'A*25:05', 'A*25:06', 'A*25:07', 'A*25:08', 'A*25:09', 'A*25:10', - 'A*25:11', 'A*25:13', 'A*26:01', 'A*26:02', 'A*26:03', 'A*26:04', 'A*26:05', 'A*26:06', 'A*26:07', - 'A*26:08', 'A*26:09', 'A*26:10', 'A*26:12', 'A*26:13', 'A*26:14', 'A*26:15', 'A*26:16', 'A*26:17', - 'A*26:18', 'A*26:19', 'A*26:20', 'A*26:21', 'A*26:22', 'A*26:23', 'A*26:24', 'A*26:26', 'A*26:27', - 'A*26:28', 'A*26:29', 'A*26:30', 'A*26:31', 'A*26:32', 'A*26:33', 'A*26:34', 'A*26:35', 'A*26:36', - 'A*26:37', 'A*26:38', 'A*26:39', 'A*26:40', 'A*26:41', 'A*26:42', 'A*26:43', 'A*26:45', 'A*26:46', - 'A*26:47', 'A*26:48', 'A*26:49', 'A*26:50', 'A*29:01', 'A*29:02', 'A*29:03', 'A*29:04', 'A*29:05', - 'A*29:06', 'A*29:07', 'A*29:09', 'A*29:10', 'A*29:11', 'A*29:12', 'A*29:13', 'A*29:14', 'A*29:15', - 'A*29:16', 'A*29:17', 'A*29:18', 'A*29:19', 'A*29:20', 'A*29:21', 'A*29:22', 'A*30:01', 'A*30:02', - 'A*30:03', 'A*30:04', 'A*30:06', 'A*30:07', 'A*30:08', 'A*30:09', 'A*30:10', 'A*30:11', 'A*30:12', - 'A*30:13', 'A*30:15', 'A*30:16', 'A*30:17', 'A*30:18', 'A*30:19', 'A*30:20', 'A*30:22', 'A*30:23', - 'A*30:24', 'A*30:25', 'A*30:26', 'A*30:28', 'A*30:29', 'A*30:30', 'A*30:31', 'A*30:32', 'A*30:33', - 'A*30:34', 'A*30:35', 'A*30:36', 'A*30:37', 'A*30:38', 'A*30:39', 'A*30:40', 'A*30:41', 'A*31:01', - 'A*31:02', 'A*31:03', 'A*31:04', 'A*31:05', 'A*31:06', 'A*31:07', 'A*31:08', 'A*31:09', 'A*31:10', - 'A*31:11', 'A*31:12', 'A*31:13', 'A*31:15', 'A*31:16', 'A*31:17', 'A*31:18', 'A*31:19', 'A*31:20', - 'A*31:21', 'A*31:22', 'A*31:23', 'A*31:24', 'A*31:25', 'A*31:26', 'A*31:27', 'A*31:28', 'A*31:29', - 'A*31:30', 'A*31:31', 'A*31:32', 'A*31:33', 'A*31:34', 'A*31:35', 'A*31:36', 'A*31:37', 'A*32:01', - 'A*32:02', 'A*32:03', 'A*32:04', 'A*32:05', 'A*32:06', 'A*32:07', 'A*32:08', 'A*32:09', 'A*32:10', - 'A*32:12', 'A*32:13', 'A*32:14', 'A*32:15', 'A*32:16', 'A*32:17', 'A*32:18', 'A*32:20', 'A*32:21', - 'A*32:22', 'A*32:23', 'A*32:24', 'A*32:25', 'A*33:01', 'A*33:03', 'A*33:04', 'A*33:05', 'A*33:06', - 'A*33:07', 'A*33:08', 'A*33:09', 'A*33:10', 'A*33:11', 'A*33:12', 'A*33:13', 'A*33:14', 'A*33:15', - 'A*33:16', 'A*33:17', 'A*33:18', 'A*33:19', 'A*33:20', 'A*33:21', 'A*33:22', 'A*33:23', 'A*33:24', - 'A*33:25', 'A*33:26', 'A*33:27', 'A*33:28', 'A*33:29', 'A*33:30', 'A*33:31', 'A*34:01', 'A*34:02', - 'A*34:03', 'A*34:04', 'A*34:05', 'A*34:06', 'A*34:07', 'A*34:08', 'A*36:01', 'A*36:02', 'A*36:03', - 'A*36:04', 'A*36:05', 'A*43:01', 'A*66:01', 'A*66:02', 'A*66:03', 'A*66:04', 'A*66:05', 'A*66:06', - 'A*66:07', 'A*66:08', 'A*66:09', 'A*66:10', 'A*66:11', 'A*66:12', 'A*66:13', 'A*66:14', 'A*66:15', - 'A*68:01', 'A*68:02', 'A*68:03', 'A*68:04', 'A*68:05', 'A*68:06', 'A*68:07', 'A*68:08', 'A*68:09', - 'A*68:10', 'A*68:12', 'A*68:13', 'A*68:14', 'A*68:15', 'A*68:16', 'A*68:17', 'A*68:19', 'A*68:20', - 'A*68:21', 'A*68:22', 'A*68:23', 'A*68:24', 'A*68:25', 'A*68:26', 'A*68:27', 'A*68:28', 'A*68:29', - 'A*68:30', 'A*68:31', 'A*68:32', 'A*68:33', 'A*68:34', 'A*68:35', 'A*68:36', 'A*68:37', 'A*68:38', - 'A*68:39', 'A*68:40', 'A*68:41', 'A*68:42', 'A*68:43', 'A*68:44', 'A*68:45', 'A*68:46', 'A*68:47', - 'A*68:48', 'A*68:50', 'A*68:51', 'A*68:52', 'A*68:53', 'A*68:54', 'A*69:01', 'A*74:01', 'A*74:02', - 'A*74:03', 'A*74:04', 'A*74:05', 'A*74:06', 'A*74:07', 'A*74:08', 'A*74:09', 'A*74:10', 'A*74:11', - 'A*74:13', 'A*80:01', 'A*80:02', 'B*07:02', 'B*07:03', 'B*07:04', 'B*07:05', 'B*07:06', 'B*07:07', - 'B*07:08', 'B*07:09', 'B*07:10', 'B*07:100', 'B*07:101', 'B*07:102', 'B*07:103', 'B*07:104', - 'B*07:105', 'B*07:106', 'B*07:107', 'B*07:108', 'B*07:109', 'B*07:11', 'B*07:110', 'B*07:112', - 'B*07:113', 'B*07:114', 'B*07:115', 'B*07:12', 'B*07:13', 'B*07:14', 'B*07:15', 'B*07:16', 'B*07:17', - 'B*07:18', 'B*07:19', 'B*07:20', 'B*07:21', 'B*07:22', 'B*07:23', 'B*07:24', 'B*07:25', 'B*07:26', - 'B*07:27', 'B*07:28', 'B*07:29', 'B*07:30', 'B*07:31', 'B*07:32', 'B*07:33', 'B*07:34', 'B*07:35', - 'B*07:36', 'B*07:37', 'B*07:38', 'B*07:39', 'B*07:40', 'B*07:41', 'B*07:42', 'B*07:43', 'B*07:44', - 'B*07:45', 'B*07:46', 'B*07:47', 'B*07:48', 'B*07:50', 'B*07:51', 'B*07:52', 'B*07:53', 'B*07:54', - 'B*07:55', 'B*07:56', 'B*07:57', 'B*07:58', 'B*07:59', 'B*07:60', 'B*07:61', 'B*07:62', 'B*07:63', - 'B*07:64', 'B*07:65', 'B*07:66', 'B*07:68', 'B*07:69', 'B*07:70', 'B*07:71', 'B*07:72', 'B*07:73', - 'B*07:74', 'B*07:75', 'B*07:76', 'B*07:77', 'B*07:78', 'B*07:79', 'B*07:80', 'B*07:81', 'B*07:82', - 'B*07:83', 'B*07:84', 'B*07:85', 'B*07:86', 'B*07:87', 'B*07:88', 'B*07:89', 'B*07:90', 'B*07:91', - 'B*07:92', 'B*07:93', 'B*07:94', 'B*07:95', 'B*07:96', 'B*07:97', 'B*07:98', 'B*07:99', 'B*08:01', - 'B*08:02', 'B*08:03', 'B*08:04', 'B*08:05', 'B*08:07', 'B*08:09', 'B*08:10', 'B*08:11', 'B*08:12', - 'B*08:13', 'B*08:14', 'B*08:15', 'B*08:16', 'B*08:17', 'B*08:18', 'B*08:20', 'B*08:21', 'B*08:22', - 'B*08:23', 'B*08:24', 'B*08:25', 'B*08:26', 'B*08:27', 'B*08:28', 'B*08:29', 'B*08:31', 'B*08:32', - 'B*08:33', 'B*08:34', 'B*08:35', 'B*08:36', 'B*08:37', 'B*08:38', 'B*08:39', 'B*08:40', 'B*08:41', - 'B*08:42', 'B*08:43', 'B*08:44', 'B*08:45', 'B*08:46', 'B*08:47', 'B*08:48', 'B*08:49', 'B*08:50', - 'B*08:51', 'B*08:52', 'B*08:53', 'B*08:54', 'B*08:55', 'B*08:56', 'B*08:57', 'B*08:58', 'B*08:59', - 'B*08:60', 'B*08:61', 'B*08:62', 'B*13:01', 'B*13:02', 'B*13:03', 'B*13:04', 'B*13:06', 'B*13:09', - 'B*13:10', 'B*13:11', 'B*13:12', 'B*13:13', 'B*13:14', 'B*13:15', 'B*13:16', 'B*13:17', 'B*13:18', - 'B*13:19', 'B*13:20', 'B*13:21', 'B*13:22', 'B*13:23', 'B*13:25', 'B*13:26', 'B*13:27', 'B*13:28', - 'B*13:29', 'B*13:30', 'B*13:31', 'B*13:32', 'B*13:33', 'B*13:34', 'B*13:35', 'B*13:36', 'B*13:37', - 'B*13:38', 'B*13:39', 'B*14:01', 'B*14:02', 'B*14:03', 'B*14:04', 'B*14:05', 'B*14:06', 'B*14:08', - 'B*14:09', 'B*14:10', 'B*14:11', 'B*14:12', 'B*14:13', 'B*14:14', 'B*14:15', 'B*14:16', 'B*14:17', - 'B*14:18', 'B*15:01', 'B*15:02', 'B*15:03', 'B*15:04', 'B*15:05', 'B*15:06', 'B*15:07', 'B*15:08', - 'B*15:09', 'B*15:10', 'B*15:101', 'B*15:102', 'B*15:103', 'B*15:104', 'B*15:105', 'B*15:106', - 'B*15:107', 'B*15:108', 'B*15:109', 'B*15:11', 'B*15:110', 'B*15:112', 'B*15:113', 'B*15:114', - 'B*15:115', 'B*15:116', 'B*15:117', 'B*15:118', 'B*15:119', 'B*15:12', 'B*15:120', 'B*15:121', - 'B*15:122', 'B*15:123', 'B*15:124', 'B*15:125', 'B*15:126', 'B*15:127', 'B*15:128', 'B*15:129', - 'B*15:13', 'B*15:131', 'B*15:132', 'B*15:133', 'B*15:134', 'B*15:135', 'B*15:136', 'B*15:137', - 'B*15:138', 'B*15:139', 'B*15:14', 'B*15:140', 'B*15:141', 'B*15:142', 'B*15:143', 'B*15:144', - 'B*15:145', 'B*15:146', 'B*15:147', 'B*15:148', 'B*15:15', 'B*15:150', 'B*15:151', 'B*15:152', - 'B*15:153', 'B*15:154', 'B*15:155', 'B*15:156', 'B*15:157', 'B*15:158', 'B*15:159', 'B*15:16', - 'B*15:160', 'B*15:161', 'B*15:162', 'B*15:163', 'B*15:164', 'B*15:165', 'B*15:166', 'B*15:167', - 'B*15:168', 'B*15:169', 'B*15:17', 'B*15:170', 'B*15:171', 'B*15:172', 'B*15:173', 'B*15:174', - 'B*15:175', 'B*15:176', 'B*15:177', 'B*15:178', 'B*15:179', 'B*15:18', 'B*15:180', 'B*15:183', - 'B*15:184', 'B*15:185', 'B*15:186', 'B*15:187', 'B*15:188', 'B*15:189', 'B*15:19', 'B*15:191', - 'B*15:192', 'B*15:193', 'B*15:194', 'B*15:195', 'B*15:196', 'B*15:197', 'B*15:198', 'B*15:199', - 'B*15:20', 'B*15:200', 'B*15:201', 'B*15:202', 'B*15:21', 'B*15:23', 'B*15:24', 'B*15:25', 'B*15:27', - 'B*15:28', 'B*15:29', 'B*15:30', 'B*15:31', 'B*15:32', 'B*15:33', 'B*15:34', 'B*15:35', 'B*15:36', - 'B*15:37', 'B*15:38', 'B*15:39', 'B*15:40', 'B*15:42', 'B*15:43', 'B*15:44', 'B*15:45', 'B*15:46', - 'B*15:47', 'B*15:48', 'B*15:49', 'B*15:50', 'B*15:51', 'B*15:52', 'B*15:53', 'B*15:54', 'B*15:55', - 'B*15:56', 'B*15:57', 'B*15:58', 'B*15:60', 'B*15:61', 'B*15:62', 'B*15:63', 'B*15:64', 'B*15:65', - 'B*15:66', 'B*15:67', 'B*15:68', 'B*15:69', 'B*15:70', 'B*15:71', 'B*15:72', 'B*15:73', 'B*15:74', - 'B*15:75', 'B*15:76', 'B*15:77', 'B*15:78', 'B*15:80', 'B*15:81', 'B*15:82', 'B*15:83', 'B*15:84', - 'B*15:85', 'B*15:86', 'B*15:87', 'B*15:88', 'B*15:89', 'B*15:90', 'B*15:91', 'B*15:92', 'B*15:93', - 'B*15:95', 'B*15:96', 'B*15:97', 'B*15:98', 'B*15:99', 'B*18:01', 'B*18:02', 'B*18:03', 'B*18:04', - 'B*18:05', 'B*18:06', 'B*18:07', 'B*18:08', 'B*18:09', 'B*18:10', 'B*18:11', 'B*18:12', 'B*18:13', - 'B*18:14', 'B*18:15', 'B*18:18', 'B*18:19', 'B*18:20', 'B*18:21', 'B*18:22', 'B*18:24', 'B*18:25', - 'B*18:26', 'B*18:27', 'B*18:28', 'B*18:29', 'B*18:30', 'B*18:31', 'B*18:32', 'B*18:33', 'B*18:34', - 'B*18:35', 'B*18:36', 'B*18:37', 'B*18:38', 'B*18:39', 'B*18:40', 'B*18:41', 'B*18:42', 'B*18:43', - 'B*18:44', 'B*18:45', 'B*18:46', 'B*18:47', 'B*18:48', 'B*18:49', 'B*18:50', 'B*27:01', 'B*27:02', - 'B*27:03', 'B*27:04', 'B*27:05', 'B*27:06', 'B*27:07', 'B*27:08', 'B*27:09', 'B*27:10', 'B*27:11', - 'B*27:12', 'B*27:13', 'B*27:14', 'B*27:15', 'B*27:16', 'B*27:17', 'B*27:18', 'B*27:19', 'B*27:20', - 'B*27:21', 'B*27:23', 'B*27:24', 'B*27:25', 'B*27:26', 'B*27:27', 'B*27:28', 'B*27:29', 'B*27:30', - 'B*27:31', 'B*27:32', 'B*27:33', 'B*27:34', 'B*27:35', 'B*27:36', 'B*27:37', 'B*27:38', 'B*27:39', - 'B*27:40', 'B*27:41', 'B*27:42', 'B*27:43', 'B*27:44', 'B*27:45', 'B*27:46', 'B*27:47', 'B*27:48', - 'B*27:49', 'B*27:50', 'B*27:51', 'B*27:52', 'B*27:53', 'B*27:54', 'B*27:55', 'B*27:56', 'B*27:57', - 'B*27:58', 'B*27:60', 'B*27:61', 'B*27:62', 'B*27:63', 'B*27:67', 'B*27:68', 'B*27:69', 'B*35:01', - 'B*35:02', 'B*35:03', 'B*35:04', 'B*35:05', 'B*35:06', 'B*35:07', 'B*35:08', 'B*35:09', 'B*35:10', - 'B*35:100', 'B*35:101', 'B*35:102', 'B*35:103', 'B*35:104', 'B*35:105', 'B*35:106', 'B*35:107', - 'B*35:108', 'B*35:109', 'B*35:11', 'B*35:110', 'B*35:111', 'B*35:112', 'B*35:113', 'B*35:114', - 'B*35:115', 'B*35:116', 'B*35:117', 'B*35:118', 'B*35:119', 'B*35:12', 'B*35:120', 'B*35:121', - 'B*35:122', 'B*35:123', 'B*35:124', 'B*35:125', 'B*35:126', 'B*35:127', 'B*35:128', 'B*35:13', - 'B*35:131', 'B*35:132', 'B*35:133', 'B*35:135', 'B*35:136', 'B*35:137', 'B*35:138', 'B*35:139', - 'B*35:14', 'B*35:140', 'B*35:141', 'B*35:142', 'B*35:143', 'B*35:144', 'B*35:15', 'B*35:16', 'B*35:17', - 'B*35:18', 'B*35:19', 'B*35:20', 'B*35:21', 'B*35:22', 'B*35:23', 'B*35:24', 'B*35:25', 'B*35:26', - 'B*35:27', 'B*35:28', 'B*35:29', 'B*35:30', 'B*35:31', 'B*35:32', 'B*35:33', 'B*35:34', 'B*35:35', - 'B*35:36', 'B*35:37', 'B*35:38', 'B*35:39', 'B*35:41', 'B*35:42', 'B*35:43', 'B*35:44', 'B*35:45', - 'B*35:46', 'B*35:47', 'B*35:48', 'B*35:49', 'B*35:50', 'B*35:51', 'B*35:52', 'B*35:54', 'B*35:55', - 'B*35:56', 'B*35:57', 'B*35:58', 'B*35:59', 'B*35:60', 'B*35:61', 'B*35:62', 'B*35:63', 'B*35:64', - 'B*35:66', 'B*35:67', 'B*35:68', 'B*35:69', 'B*35:70', 'B*35:71', 'B*35:72', 'B*35:74', 'B*35:75', - 'B*35:76', 'B*35:77', 'B*35:78', 'B*35:79', 'B*35:80', 'B*35:81', 'B*35:82', 'B*35:83', 'B*35:84', - 'B*35:85', 'B*35:86', 'B*35:87', 'B*35:88', 'B*35:89', 'B*35:90', 'B*35:91', 'B*35:92', 'B*35:93', - 'B*35:94', 'B*35:95', 'B*35:96', 'B*35:97', 'B*35:98', 'B*35:99', 'B*37:01', 'B*37:02', 'B*37:04', - 'B*37:05', 'B*37:06', 'B*37:07', 'B*37:08', 'B*37:09', 'B*37:10', 'B*37:11', 'B*37:12', 'B*37:13', - 'B*37:14', 'B*37:15', 'B*37:17', 'B*37:18', 'B*37:19', 'B*37:20', 'B*37:21', 'B*37:22', 'B*37:23', - 'B*38:01', 'B*38:02', 'B*38:03', 'B*38:04', 'B*38:05', 'B*38:06', 'B*38:07', 'B*38:08', 'B*38:09', - 'B*38:10', 'B*38:11', 'B*38:12', 'B*38:13', 'B*38:14', 'B*38:15', 'B*38:16', 'B*38:17', 'B*38:18', - 'B*38:19', 'B*38:20', 'B*38:21', 'B*38:22', 'B*38:23', 'B*39:01', 'B*39:02', 'B*39:03', 'B*39:04', - 'B*39:05', 'B*39:06', 'B*39:07', 'B*39:08', 'B*39:09', 'B*39:10', 'B*39:11', 'B*39:12', 'B*39:13', - 'B*39:14', 'B*39:15', 'B*39:16', 'B*39:17', 'B*39:18', 'B*39:19', 'B*39:20', 'B*39:22', 'B*39:23', - 'B*39:24', 'B*39:26', 'B*39:27', 'B*39:28', 'B*39:29', 'B*39:30', 'B*39:31', 'B*39:32', 'B*39:33', - 'B*39:34', 'B*39:35', 'B*39:36', 'B*39:37', 'B*39:39', 'B*39:41', 'B*39:42', 'B*39:43', 'B*39:44', - 'B*39:45', 'B*39:46', 'B*39:47', 'B*39:48', 'B*39:49', 'B*39:50', 'B*39:51', 'B*39:52', 'B*39:53', - 'B*39:54', 'B*39:55', 'B*39:56', 'B*39:57', 'B*39:58', 'B*39:59', 'B*39:60', 'B*40:01', 'B*40:02', - 'B*40:03', 'B*40:04', 'B*40:05', 'B*40:06', 'B*40:07', 'B*40:08', 'B*40:09', 'B*40:10', 'B*40:100', - 'B*40:101', 'B*40:102', 'B*40:103', 'B*40:104', 'B*40:105', 'B*40:106', 'B*40:107', 'B*40:108', - 'B*40:109', 'B*40:11', 'B*40:110', 'B*40:111', 'B*40:112', 'B*40:113', 'B*40:114', 'B*40:115', - 'B*40:116', 'B*40:117', 'B*40:119', 'B*40:12', 'B*40:120', 'B*40:121', 'B*40:122', 'B*40:123', - 'B*40:124', 'B*40:125', 'B*40:126', 'B*40:127', 'B*40:128', 'B*40:129', 'B*40:13', 'B*40:130', - 'B*40:131', 'B*40:132', 'B*40:134', 'B*40:135', 'B*40:136', 'B*40:137', 'B*40:138', 'B*40:139', - 'B*40:14', 'B*40:140', 'B*40:141', 'B*40:143', 'B*40:145', 'B*40:146', 'B*40:147', 'B*40:15', - 'B*40:16', 'B*40:18', 'B*40:19', 'B*40:20', 'B*40:21', 'B*40:23', 'B*40:24', 'B*40:25', 'B*40:26', - 'B*40:27', 'B*40:28', 'B*40:29', 'B*40:30', 'B*40:31', 'B*40:32', 'B*40:33', 'B*40:34', 'B*40:35', - 'B*40:36', 'B*40:37', 'B*40:38', 'B*40:39', 'B*40:40', 'B*40:42', 'B*40:43', 'B*40:44', 'B*40:45', - 'B*40:46', 'B*40:47', 'B*40:48', 'B*40:49', 'B*40:50', 'B*40:51', 'B*40:52', 'B*40:53', 'B*40:54', - 'B*40:55', 'B*40:56', 'B*40:57', 'B*40:58', 'B*40:59', 'B*40:60', 'B*40:61', 'B*40:62', 'B*40:63', - 'B*40:64', 'B*40:65', 'B*40:66', 'B*40:67', 'B*40:68', 'B*40:69', 'B*40:70', 'B*40:71', 'B*40:72', - 'B*40:73', 'B*40:74', 'B*40:75', 'B*40:76', 'B*40:77', 'B*40:78', 'B*40:79', 'B*40:80', 'B*40:81', - 'B*40:82', 'B*40:83', 'B*40:84', 'B*40:85', 'B*40:86', 'B*40:87', 'B*40:88', 'B*40:89', 'B*40:90', - 'B*40:91', 'B*40:92', 'B*40:93', 'B*40:94', 'B*40:95', 'B*40:96', 'B*40:97', 'B*40:98', 'B*40:99', - 'B*41:01', 'B*41:02', 'B*41:03', 'B*41:04', 'B*41:05', 'B*41:06', 'B*41:07', 'B*41:08', 'B*41:09', - 'B*41:10', 'B*41:11', 'B*41:12', 'B*42:01', 'B*42:02', 'B*42:04', 'B*42:05', 'B*42:06', 'B*42:07', - 'B*42:08', 'B*42:09', 'B*42:10', 'B*42:11', 'B*42:12', 'B*42:13', 'B*42:14', 'B*44:02', 'B*44:03', - 'B*44:04', 'B*44:05', 'B*44:06', 'B*44:07', 'B*44:08', 'B*44:09', 'B*44:10', 'B*44:100', 'B*44:101', - 'B*44:102', 'B*44:103', 'B*44:104', 'B*44:105', 'B*44:106', 'B*44:107', 'B*44:109', 'B*44:11', - 'B*44:110', 'B*44:12', 'B*44:13', 'B*44:14', 'B*44:15', 'B*44:16', 'B*44:17', 'B*44:18', 'B*44:20', - 'B*44:21', 'B*44:22', 'B*44:24', 'B*44:25', 'B*44:26', 'B*44:27', 'B*44:28', 'B*44:29', 'B*44:30', - 'B*44:31', 'B*44:32', 'B*44:33', 'B*44:34', 'B*44:35', 'B*44:36', 'B*44:37', 'B*44:38', 'B*44:39', - 'B*44:40', 'B*44:41', 'B*44:42', 'B*44:43', 'B*44:44', 'B*44:45', 'B*44:46', 'B*44:47', 'B*44:48', - 'B*44:49', 'B*44:50', 'B*44:51', 'B*44:53', 'B*44:54', 'B*44:55', 'B*44:57', 'B*44:59', 'B*44:60', - 'B*44:62', 'B*44:63', 'B*44:64', 'B*44:65', 'B*44:66', 'B*44:67', 'B*44:68', 'B*44:69', 'B*44:70', - 'B*44:71', 'B*44:72', 'B*44:73', 'B*44:74', 'B*44:75', 'B*44:76', 'B*44:77', 'B*44:78', 'B*44:79', - 'B*44:80', 'B*44:81', 'B*44:82', 'B*44:83', 'B*44:84', 'B*44:85', 'B*44:86', 'B*44:87', 'B*44:88', - 'B*44:89', 'B*44:90', 'B*44:91', 'B*44:92', 'B*44:93', 'B*44:94', 'B*44:95', 'B*44:96', 'B*44:97', - 'B*44:98', 'B*44:99', 'B*45:01', 'B*45:02', 'B*45:03', 'B*45:04', 'B*45:05', 'B*45:06', 'B*45:07', - 'B*45:08', 'B*45:09', 'B*45:10', 'B*45:11', 'B*45:12', 'B*46:01', 'B*46:02', 'B*46:03', 'B*46:04', - 'B*46:05', 'B*46:06', 'B*46:08', 'B*46:09', 'B*46:10', 'B*46:11', 'B*46:12', 'B*46:13', 'B*46:14', - 'B*46:16', 'B*46:17', 'B*46:18', 'B*46:19', 'B*46:20', 'B*46:21', 'B*46:22', 'B*46:23', 'B*46:24', - 'B*47:01', 'B*47:02', 'B*47:03', 'B*47:04', 'B*47:05', 'B*47:06', 'B*47:07', 'B*48:01', 'B*48:02', - 'B*48:03', 'B*48:04', 'B*48:05', 'B*48:06', 'B*48:07', 'B*48:08', 'B*48:09', 'B*48:10', 'B*48:11', - 'B*48:12', 'B*48:13', 'B*48:14', 'B*48:15', 'B*48:16', 'B*48:17', 'B*48:18', 'B*48:19', 'B*48:20', - 'B*48:21', 'B*48:22', 'B*48:23', 'B*49:01', 'B*49:02', 'B*49:03', 'B*49:04', 'B*49:05', 'B*49:06', - 'B*49:07', 'B*49:08', 'B*49:09', 'B*49:10', 'B*50:01', 'B*50:02', 'B*50:04', 'B*50:05', 'B*50:06', - 'B*50:07', 'B*50:08', 'B*50:09', 'B*51:01', 'B*51:02', 'B*51:03', 'B*51:04', 'B*51:05', 'B*51:06', - 'B*51:07', 'B*51:08', 'B*51:09', 'B*51:12', 'B*51:13', 'B*51:14', 'B*51:15', 'B*51:16', 'B*51:17', - 'B*51:18', 'B*51:19', 'B*51:20', 'B*51:21', 'B*51:22', 'B*51:23', 'B*51:24', 'B*51:26', 'B*51:28', - 'B*51:29', 'B*51:30', 'B*51:31', 'B*51:32', 'B*51:33', 'B*51:34', 'B*51:35', 'B*51:36', 'B*51:37', - 'B*51:38', 'B*51:39', 'B*51:40', 'B*51:42', 'B*51:43', 'B*51:45', 'B*51:46', 'B*51:48', 'B*51:49', - 'B*51:50', 'B*51:51', 'B*51:52', 'B*51:53', 'B*51:54', 'B*51:55', 'B*51:56', 'B*51:57', 'B*51:58', - 'B*51:59', 'B*51:60', 'B*51:61', 'B*51:62', 'B*51:63', 'B*51:64', 'B*51:65', 'B*51:66', 'B*51:67', - 'B*51:68', 'B*51:69', 'B*51:70', 'B*51:71', 'B*51:72', 'B*51:73', 'B*51:74', 'B*51:75', 'B*51:76', - 'B*51:77', 'B*51:78', 'B*51:79', 'B*51:80', 'B*51:81', 'B*51:82', 'B*51:83', 'B*51:84', 'B*51:85', - 'B*51:86', 'B*51:87', 'B*51:88', 'B*51:89', 'B*51:90', 'B*51:91', 'B*51:92', 'B*51:93', 'B*51:94', - 'B*51:95', 'B*51:96', 'B*52:01', 'B*52:02', 'B*52:03', 'B*52:04', 'B*52:05', 'B*52:06', 'B*52:07', - 'B*52:08', 'B*52:09', 'B*52:10', 'B*52:11', 'B*52:12', 'B*52:13', 'B*52:14', 'B*52:15', 'B*52:16', - 'B*52:17', 'B*52:18', 'B*52:19', 'B*52:20', 'B*52:21', 'B*53:01', 'B*53:02', 'B*53:03', 'B*53:04', - 'B*53:05', 'B*53:06', 'B*53:07', 'B*53:08', 'B*53:09', 'B*53:10', 'B*53:11', 'B*53:12', 'B*53:13', - 'B*53:14', 'B*53:15', 'B*53:16', 'B*53:17', 'B*53:18', 'B*53:19', 'B*53:20', 'B*53:21', 'B*53:22', - 'B*53:23', 'B*54:01', 'B*54:02', 'B*54:03', 'B*54:04', 'B*54:06', 'B*54:07', 'B*54:09', 'B*54:10', - 'B*54:11', 'B*54:12', 'B*54:13', 'B*54:14', 'B*54:15', 'B*54:16', 'B*54:17', 'B*54:18', 'B*54:19', - 'B*54:20', 'B*54:21', 'B*54:22', 'B*54:23', 'B*55:01', 'B*55:02', 'B*55:03', 'B*55:04', 'B*55:05', - 'B*55:07', 'B*55:08', 'B*55:09', 'B*55:10', 'B*55:11', 'B*55:12', 'B*55:13', 'B*55:14', 'B*55:15', - 'B*55:16', 'B*55:17', 'B*55:18', 'B*55:19', 'B*55:20', 'B*55:21', 'B*55:22', 'B*55:23', 'B*55:24', - 'B*55:25', 'B*55:26', 'B*55:27', 'B*55:28', 'B*55:29', 'B*55:30', 'B*55:31', 'B*55:32', 'B*55:33', - 'B*55:34', 'B*55:35', 'B*55:36', 'B*55:37', 'B*55:38', 'B*55:39', 'B*55:40', 'B*55:41', 'B*55:42', - 'B*55:43', 'B*56:01', 'B*56:02', 'B*56:03', 'B*56:04', 'B*56:05', 'B*56:06', 'B*56:07', 'B*56:08', - 'B*56:09', 'B*56:10', 'B*56:11', 'B*56:12', 'B*56:13', 'B*56:14', 'B*56:15', 'B*56:16', 'B*56:17', - 'B*56:18', 'B*56:20', 'B*56:21', 'B*56:22', 'B*56:23', 'B*56:24', 'B*56:25', 'B*56:26', 'B*56:27', - 'B*56:29', 'B*57:01', 'B*57:02', 'B*57:03', 'B*57:04', 'B*57:05', 'B*57:06', 'B*57:07', 'B*57:08', - 'B*57:09', 'B*57:10', 'B*57:11', 'B*57:12', 'B*57:13', 'B*57:14', 'B*57:15', 'B*57:16', 'B*57:17', - 'B*57:18', 'B*57:19', 'B*57:20', 'B*57:21', 'B*57:22', 'B*57:23', 'B*57:24', 'B*57:25', 'B*57:26', - 'B*57:27', 'B*57:29', 'B*57:30', 'B*57:31', 'B*57:32', 'B*58:01', 'B*58:02', 'B*58:04', 'B*58:05', - 'B*58:06', 'B*58:07', 'B*58:08', 'B*58:09', 'B*58:11', 'B*58:12', 'B*58:13', 'B*58:14', 'B*58:15', - 'B*58:16', 'B*58:18', 'B*58:19', 'B*58:20', 'B*58:21', 'B*58:22', 'B*58:23', 'B*58:24', 'B*58:25', - 'B*58:26', 'B*58:27', 'B*58:28', 'B*58:29', 'B*58:30', 'B*59:01', 'B*59:02', 'B*59:03', 'B*59:04', - 'B*59:05', 'B*67:01', 'B*67:02', 'B*73:01', 'B*73:02', 'B*78:01', 'B*78:02', 'B*78:03', 'B*78:04', - 'B*78:05', 'B*78:06', 'B*78:07', 'B*81:01', 'B*81:02', 'B*81:03', 'B*81:05', 'B*82:01', 'B*82:02', - 'B*82:03', 'B*83:01', 'C*01:02', 'C*01:03', 'C*01:04', 'C*01:05', 'C*01:06', 'C*01:07', 'C*01:08', - 'C*01:09', 'C*01:10', 'C*01:11', 'C*01:12', 'C*01:13', 'C*01:14', 'C*01:15', 'C*01:16', 'C*01:17', - 'C*01:18', 'C*01:19', 'C*01:20', 'C*01:21', 'C*01:22', 'C*01:23', 'C*01:24', 'C*01:25', 'C*01:26', - 'C*01:27', 'C*01:28', 'C*01:29', 'C*01:30', 'C*01:31', 'C*01:32', 'C*01:33', 'C*01:34', 'C*01:35', - 'C*01:36', 'C*01:38', 'C*01:39', 'C*01:40', 'C*02:02', 'C*02:03', 'C*02:04', 'C*02:05', 'C*02:06', - 'C*02:07', 'C*02:08', 'C*02:09', 'C*02:10', 'C*02:11', 'C*02:12', 'C*02:13', 'C*02:14', 'C*02:15', - 'C*02:16', 'C*02:17', 'C*02:18', 'C*02:19', 'C*02:20', 'C*02:21', 'C*02:22', 'C*02:23', 'C*02:24', - 'C*02:26', 'C*02:27', 'C*02:28', 'C*02:29', 'C*02:30', 'C*02:31', 'C*02:32', 'C*02:33', 'C*02:34', - 'C*02:35', 'C*02:36', 'C*02:37', 'C*02:39', 'C*02:40', 'C*03:01', 'C*03:02', 'C*03:03', 'C*03:04', - 'C*03:05', 'C*03:06', 'C*03:07', 'C*03:08', 'C*03:09', 'C*03:10', 'C*03:11', 'C*03:12', 'C*03:13', - 'C*03:14', 'C*03:15', 'C*03:16', 'C*03:17', 'C*03:18', 'C*03:19', 'C*03:21', 'C*03:23', 'C*03:24', - 'C*03:25', 'C*03:26', 'C*03:27', 'C*03:28', 'C*03:29', 'C*03:30', 'C*03:31', 'C*03:32', 'C*03:33', - 'C*03:34', 'C*03:35', 'C*03:36', 'C*03:37', 'C*03:38', 'C*03:39', 'C*03:40', 'C*03:41', 'C*03:42', - 'C*03:43', 'C*03:44', 'C*03:45', 'C*03:46', 'C*03:47', 'C*03:48', 'C*03:49', 'C*03:50', 'C*03:51', - 'C*03:52', 'C*03:53', 'C*03:54', 'C*03:55', 'C*03:56', 'C*03:57', 'C*03:58', 'C*03:59', 'C*03:60', - 'C*03:61', 'C*03:62', 'C*03:63', 'C*03:64', 'C*03:65', 'C*03:66', 'C*03:67', 'C*03:68', 'C*03:69', - 'C*03:70', 'C*03:71', 'C*03:72', 'C*03:73', 'C*03:74', 'C*03:75', 'C*03:76', 'C*03:77', 'C*03:78', - 'C*03:79', 'C*03:80', 'C*03:81', 'C*03:82', 'C*03:83', 'C*03:84', 'C*03:85', 'C*03:86', 'C*03:87', - 'C*03:88', 'C*03:89', 'C*03:90', 'C*03:91', 'C*03:92', 'C*03:93', 'C*03:94', 'C*04:01', 'C*04:03', - 'C*04:04', 'C*04:05', 'C*04:06', 'C*04:07', 'C*04:08', 'C*04:10', 'C*04:11', 'C*04:12', 'C*04:13', - 'C*04:14', 'C*04:15', 'C*04:16', 'C*04:17', 'C*04:18', 'C*04:19', 'C*04:20', 'C*04:23', 'C*04:24', - 'C*04:25', 'C*04:26', 'C*04:27', 'C*04:28', 'C*04:29', 'C*04:30', 'C*04:31', 'C*04:32', 'C*04:33', - 'C*04:34', 'C*04:35', 'C*04:36', 'C*04:37', 'C*04:38', 'C*04:39', 'C*04:40', 'C*04:41', 'C*04:42', - 'C*04:43', 'C*04:44', 'C*04:45', 'C*04:46', 'C*04:47', 'C*04:48', 'C*04:49', 'C*04:50', 'C*04:51', - 'C*04:52', 'C*04:53', 'C*04:54', 'C*04:55', 'C*04:56', 'C*04:57', 'C*04:58', 'C*04:60', 'C*04:61', - 'C*04:62', 'C*04:63', 'C*04:64', 'C*04:65', 'C*04:66', 'C*04:67', 'C*04:68', 'C*04:69', 'C*04:70', - 'C*05:01', 'C*05:03', 'C*05:04', 'C*05:05', 'C*05:06', 'C*05:08', 'C*05:09', 'C*05:10', 'C*05:11', - 'C*05:12', 'C*05:13', 'C*05:14', 'C*05:15', 'C*05:16', 'C*05:17', 'C*05:18', 'C*05:19', 'C*05:20', - 'C*05:21', 'C*05:22', 'C*05:23', 'C*05:24', 'C*05:25', 'C*05:26', 'C*05:27', 'C*05:28', 'C*05:29', - 'C*05:30', 'C*05:31', 'C*05:32', 'C*05:33', 'C*05:34', 'C*05:35', 'C*05:36', 'C*05:37', 'C*05:38', - 'C*05:39', 'C*05:40', 'C*05:41', 'C*05:42', 'C*05:43', 'C*05:44', 'C*05:45', 'C*06:02', 'C*06:03', - 'C*06:04', 'C*06:05', 'C*06:06', 'C*06:07', 'C*06:08', 'C*06:09', 'C*06:10', 'C*06:11', 'C*06:12', - 'C*06:13', 'C*06:14', 'C*06:15', 'C*06:17', 'C*06:18', 'C*06:19', 'C*06:20', 'C*06:21', 'C*06:22', - 'C*06:23', 'C*06:24', 'C*06:25', 'C*06:26', 'C*06:27', 'C*06:28', 'C*06:29', 'C*06:30', 'C*06:31', - 'C*06:32', 'C*06:33', 'C*06:34', 'C*06:35', 'C*06:36', 'C*06:37', 'C*06:38', 'C*06:39', 'C*06:40', - 'C*06:41', 'C*06:42', 'C*06:43', 'C*06:44', 'C*06:45', 'C*07:01', 'C*07:02', 'C*07:03', 'C*07:04', - 'C*07:05', 'C*07:06', 'C*07:07', 'C*07:08', 'C*07:09', 'C*07:10', 'C*07:100', 'C*07:101', 'C*07:102', - 'C*07:103', 'C*07:105', 'C*07:106', 'C*07:107', 'C*07:108', 'C*07:109', 'C*07:11', 'C*07:110', - 'C*07:111', 'C*07:112', 'C*07:113', 'C*07:114', 'C*07:115', 'C*07:116', 'C*07:117', 'C*07:118', - 'C*07:119', 'C*07:12', 'C*07:120', 'C*07:122', 'C*07:123', 'C*07:124', 'C*07:125', 'C*07:126', - 'C*07:127', 'C*07:128', 'C*07:129', 'C*07:13', 'C*07:130', 'C*07:131', 'C*07:132', 'C*07:133', - 'C*07:134', 'C*07:135', 'C*07:136', 'C*07:137', 'C*07:138', 'C*07:139', 'C*07:14', 'C*07:140', - 'C*07:141', 'C*07:142', 'C*07:143', 'C*07:144', 'C*07:145', 'C*07:146', 'C*07:147', 'C*07:148', - 'C*07:149', 'C*07:15', 'C*07:16', 'C*07:17', 'C*07:18', 'C*07:19', 'C*07:20', 'C*07:21', 'C*07:22', - 'C*07:23', 'C*07:24', 'C*07:25', 'C*07:26', 'C*07:27', 'C*07:28', 'C*07:29', 'C*07:30', 'C*07:31', - 'C*07:35', 'C*07:36', 'C*07:37', 'C*07:38', 'C*07:39', 'C*07:40', 'C*07:41', 'C*07:42', 'C*07:43', - 'C*07:44', 'C*07:45', 'C*07:46', 'C*07:47', 'C*07:48', 'C*07:49', 'C*07:50', 'C*07:51', 'C*07:52', - 'C*07:53', 'C*07:54', 'C*07:56', 'C*07:57', 'C*07:58', 'C*07:59', 'C*07:60', 'C*07:62', 'C*07:63', - 'C*07:64', 'C*07:65', 'C*07:66', 'C*07:67', 'C*07:68', 'C*07:69', 'C*07:70', 'C*07:71', 'C*07:72', - 'C*07:73', 'C*07:74', 'C*07:75', 'C*07:76', 'C*07:77', 'C*07:78', 'C*07:79', 'C*07:80', 'C*07:81', - 'C*07:82', 'C*07:83', 'C*07:84', 'C*07:85', 'C*07:86', 'C*07:87', 'C*07:88', 'C*07:89', 'C*07:90', - 'C*07:91', 'C*07:92', 'C*07:93', 'C*07:94', 'C*07:95', 'C*07:96', 'C*07:97', 'C*07:99', 'C*08:01', - 'C*08:02', 'C*08:03', 'C*08:04', 'C*08:05', 'C*08:06', 'C*08:07', 'C*08:08', 'C*08:09', 'C*08:10', - 'C*08:11', 'C*08:12', 'C*08:13', 'C*08:14', 'C*08:15', 'C*08:16', 'C*08:17', 'C*08:18', 'C*08:19', - 'C*08:20', 'C*08:21', 'C*08:22', 'C*08:23', 'C*08:24', 'C*08:25', 'C*08:27', 'C*08:28', 'C*08:29', - 'C*08:30', 'C*08:31', 'C*08:32', 'C*08:33', 'C*08:34', 'C*08:35', 'C*12:02', 'C*12:03', 'C*12:04', - 'C*12:05', 'C*12:06', 'C*12:07', 'C*12:08', 'C*12:09', 'C*12:10', 'C*12:11', 'C*12:12', 'C*12:13', - 'C*12:14', 'C*12:15', 'C*12:16', 'C*12:17', 'C*12:18', 'C*12:19', 'C*12:20', 'C*12:21', 'C*12:22', - 'C*12:23', 'C*12:24', 'C*12:25', 'C*12:26', 'C*12:27', 'C*12:28', 'C*12:29', 'C*12:30', 'C*12:31', - 'C*12:32', 'C*12:33', 'C*12:34', 'C*12:35', 'C*12:36', 'C*12:37', 'C*12:38', 'C*12:40', 'C*12:41', - 'C*12:43', 'C*12:44', 'C*14:02', 'C*14:03', 'C*14:04', 'C*14:05', 'C*14:06', 'C*14:08', 'C*14:09', - 'C*14:10', 'C*14:11', 'C*14:12', 'C*14:13', 'C*14:14', 'C*14:15', 'C*14:16', 'C*14:17', 'C*14:18', - 'C*14:19', 'C*14:20', 'C*15:02', 'C*15:03', 'C*15:04', 'C*15:05', 'C*15:06', 'C*15:07', 'C*15:08', - 'C*15:09', 'C*15:10', 'C*15:11', 'C*15:12', 'C*15:13', 'C*15:15', 'C*15:16', 'C*15:17', 'C*15:18', - 'C*15:19', 'C*15:20', 'C*15:21', 'C*15:22', 'C*15:23', 'C*15:24', 'C*15:25', 'C*15:26', 'C*15:27', - 'C*15:28', 'C*15:29', 'C*15:30', 'C*15:31', 'C*15:33', 'C*15:34', 'C*15:35', 'C*16:01', 'C*16:02', - 'C*16:04', 'C*16:06', 'C*16:07', 'C*16:08', 'C*16:09', 'C*16:10', 'C*16:11', 'C*16:12', 'C*16:13', - 'C*16:14', 'C*16:15', 'C*16:17', 'C*16:18', 'C*16:19', 'C*16:20', 'C*16:21', 'C*16:22', 'C*16:23', - 'C*16:24', 'C*16:25', 'C*16:26', 'C*17:01', 'C*17:02', 'C*17:03', 'C*17:04', 'C*17:05', 'C*17:06', - 'C*17:07', 'C*18:01', 'C*18:02', 'C*18:03', 'E*01:01', 'G*01:01', 'G*01:02', 'G*01:03', 'G*01:04', - 'G*01:06', 'G*01:07', 'G*01:08', 'G*01:09']) - __version = "2.4" - - @property - def version(self): - return self.__version - -
[docs] def convert_alleles(self, alleles): - return ["HLA-%s%s:%s"%(a.locus, a.supertype, a.subtype) for a in alleles] -
- @property - def supportedAlleles(self): - return self.__alleles - - @property - def name(self): - return self.__name - - @property - def command(self): - return self.__command - - @property - def supportedLength(self): - return self.__supported_length - -
[docs] def parse_external_result(self, _file): - result = defaultdict(defaultdict) - f = csv.reader(open(_file, "r"), delimiter='\t') - alleles = set(filter(lambda x: x != "",f.next())) - f.next() - ic_pos = 3 - for row in f: - pep_seq = row[1] - for i, a in enumerate(alleles): - result[a][pep_seq] = float(row[ic_pos+i*3]) - return result -
-
[docs] def predict(self, peptides, alleles=None, **kwargs): - return super(NetMHCpan_2_4, self).predict(peptides, alleles=alleles, **kwargs) -
-
[docs] def get_external_version(self, path=None): - #can not be determined netmhcpan does not support --version or similar - return None -
-
[docs] def prepare_peptide_input(self, _peptides, _file): - _file.write("\n".join(_peptides)) - -
-
[docs]class NetMHCII_2_2(AExternalEpitopePrediction,AExternal): - """ - Implements a wrapper for NetMHCII - """ - __supported_length = frozenset([15]) - __name = "netmhcII" - __command = 'netMHCII {peptides} -a {alleles} {options} | grep -v "#" > {out}' - __alleles = frozenset( - ['DRB1*01:01', 'DRB1*03:01', 'DRB1*04:01', 'DRB1*04:04', 'DRB1*04:05', 'DRB1*07:01', 'DRB1*08:02', 'DRB1*09:01', - 'DRB1*11:01', 'DRB1*13:02', 'DRB1*15:01', 'DRB3*01:01', 'DRB4*01:01', 'DRB5*01:01']) - __version = "2.2" - - @property - def version(self): - return self.__version - - @property - def command(self): - return self.__command - - @property - def supportedLength(self): - return self.__supported_length - - @property - def supportedAlleles(self): - return self.__alleles - - @property - def name(self): - return self.__name - -
[docs] def convert_alleles(self, alleles): - return ["HLA-%s%s%s"%(a.locus, a.supertype, a.subtype) for a in alleles] -
-
[docs] def parse_external_result(self, _file): - result = defaultdict(defaultdict) - f = csv.reader(open(_file, "r"), delimiter='\t') - for r in f: - if not r: - continue - - row = r[0].split() - if not len(row): - continue - - if "HLA-" not in row[0]: - continue - result[row[0]][row[2]] = float(row[4]) - return result -
-
[docs] def get_external_version(self, path=None): - #can not be determined netmhcpan does not support --version or similar - return None -
-
[docs] def prepare_peptide_input(self, _peptides, _file): - _file.write("\n".join(">pepe_%i\n%s"%(i, p) for i, p in enumerate(_peptides))) - -
-
[docs]class NetMHCIIpan_3_0(AExternalEpitopePrediction,AExternal): - """ - Implements a wrapper for NetMHCIIpan - """ - - __supported_length = frozenset([8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]) - __name = "netmchIIpan" - __command = "netMHCIIpan -f {peptides} -inptype 1 -a {alleles} {options} -xls -xlsfile {out}" - __alleles = frozenset(['DRB1*01:01', 'DRB1*01:02', 'DRB1*01:03', 'DRB1*01:04', 'DRB1*01:05', 'DRB1*01:06', 'DRB1*01:07', - 'DRB1*01:08', 'DRB1*01:09', 'DRB1*01:10', 'DRB1*01:11', 'DRB1*01:12', 'DRB1*01:13', 'DRB1*01:14', - 'DRB1*01:15', 'DRB1*01:16', 'DRB1*01:17', 'DRB1*01:18', 'DRB1*01:19', 'DRB1*01:20', 'DRB1*01:21', - 'DRB1*01:22', 'DRB1*01:23', 'DRB1*01:24', 'DRB1*01:25', 'DRB1*01:26', 'DRB1*01:27', 'DRB1*01:28', - 'DRB1*01:29', 'DRB1*01:30', 'DRB1*01:31', 'DRB1*01:32', 'DRB1*03:01', 'DRB1*03:02', 'DRB1*03:03', - 'DRB1*03:04', 'DRB1*03:05', 'DRB1*03:06', 'DRB1*03:07', 'DRB1*03:08', 'DRB1*03:10', 'DRB1*03:11', - 'DRB1*03:13', 'DRB1*03:14', 'DRB1*03:15', 'DRB1*03:17', 'DRB1*03:18', 'DRB1*03:19', 'DRB1*03:20', - 'DRB1*03:21', 'DRB1*03:22', 'DRB1*03:23', 'DRB1*03:24', 'DRB1*03:25', 'DRB1*03:26', 'DRB1*03:27', - 'DRB1*03:28', 'DRB1*03:29', 'DRB1*03:30', 'DRB1*03:31', 'DRB1*03:32', 'DRB1*03:33', 'DRB1*03:34', - 'DRB1*03:35', 'DRB1*03:36', 'DRB1*03:37', 'DRB1*03:38', 'DRB1*03:39', 'DRB1*03:40', 'DRB1*03:41', - 'DRB1*03:42', 'DRB1*03:43', 'DRB1*03:44', 'DRB1*03:45', 'DRB1*03:46', 'DRB1*03:47', 'DRB1*03:48', - 'DRB1*03:49', 'DRB1*03:50', 'DRB1*03:51', 'DRB1*03:52', 'DRB1*03:53', 'DRB1*03:54', 'DRB1*03:55', - 'DRB1*04:01', 'DRB1*04:02', 'DRB1*04:03', 'DRB1*04:04', 'DRB1*04:05', 'DRB1*04:06', 'DRB1*04:07', - 'DRB1*04:08', 'DRB1*04:09', 'DRB1*04:10', 'DRB1*04:11', 'DRB1*04:12', 'DRB1*04:13', 'DRB1*04:14', - 'DRB1*04:15', 'DRB1*04:16', 'DRB1*04:17', 'DRB1*04:18', 'DRB1*04:19', 'DRB1*04:21', 'DRB1*04:22', - 'DRB1*04:23', 'DRB1*04:24', 'DRB1*04:26', 'DRB1*04:27', 'DRB1*04:28', 'DRB1*04:29', 'DRB1*04:30', - 'DRB1*04:31', 'DRB1*04:33', 'DRB1*04:34', 'DRB1*04:35', 'DRB1*04:36', 'DRB1*04:37', 'DRB1*04:38', - 'DRB1*04:39', 'DRB1*04:40', 'DRB1*04:41', 'DRB1*04:42', 'DRB1*04:43', 'DRB1*04:44', 'DRB1*04:45', - 'DRB1*04:46', 'DRB1*04:47', 'DRB1*04:48', 'DRB1*04:49', 'DRB1*04:50', 'DRB1*04:51', 'DRB1*04:52', - 'DRB1*04:53', 'DRB1*04:54', 'DRB1*04:55', 'DRB1*04:56', 'DRB1*04:57', 'DRB1*04:58', 'DRB1*04:59', - 'DRB1*04:60', 'DRB1*04:61', 'DRB1*04:62', 'DRB1*04:63', 'DRB1*04:64', 'DRB1*04:65', 'DRB1*04:66', - 'DRB1*04:67', 'DRB1*04:68', 'DRB1*04:69', 'DRB1*04:70', 'DRB1*04:71', 'DRB1*04:72', 'DRB1*04:73', - 'DRB1*04:74', 'DRB1*04:75', 'DRB1*04:76', 'DRB1*04:77', 'DRB1*04:78', 'DRB1*04:79', 'DRB1*04:80', - 'DRB1*04:82', 'DRB1*04:83', 'DRB1*04:84', 'DRB1*04:85', 'DRB1*04:86', 'DRB1*04:87', 'DRB1*04:88', - 'DRB1*04:89', 'DRB1*04:91', 'DRB1*07:01', 'DRB1*07:03', 'DRB1*07:04', 'DRB1*07:05', 'DRB1*07:06', - 'DRB1*07:07', 'DRB1*07:08', 'DRB1*07:09', 'DRB1*07:11', 'DRB1*07:12', 'DRB1*07:13', 'DRB1*07:14', - 'DRB1*07:15', 'DRB1*07:16', 'DRB1*07:17', 'DRB1*07:19', 'DRB1*08:01', 'DRB1*08:02', 'DRB1*08:03', - 'DRB1*08:04', 'DRB1*08:05', 'DRB1*08:06', 'DRB1*08:07', 'DRB1*08:08', 'DRB1*08:09', 'DRB1*08:10', - 'DRB1*08:11', 'DRB1*08:12', 'DRB1*08:13', 'DRB1*08:14', 'DRB1*08:15', 'DRB1*08:16', 'DRB1*08:18', - 'DRB1*08:19', 'DRB1*08:20', 'DRB1*08:21', 'DRB1*08:22', 'DRB1*08:23', 'DRB1*08:24', 'DRB1*08:25', - 'DRB1*08:26', 'DRB1*08:27', 'DRB1*08:28', 'DRB1*08:29', 'DRB1*08:30', 'DRB1*08:31', 'DRB1*08:32', - 'DRB1*08:33', 'DRB1*08:34', 'DRB1*08:35', 'DRB1*08:36', 'DRB1*08:37', 'DRB1*08:38', 'DRB1*08:39', - 'DRB1*08:40', 'DRB1*09:01', 'DRB1*09:02', 'DRB1*09:03', 'DRB1*09:04', 'DRB1*09:05', 'DRB1*09:06', - 'DRB1*09:07', 'DRB1*09:08', 'DRB1*09:09', 'DRB1*10:01', 'DRB1*10:02', 'DRB1*10:03', 'DRB1*11:01', - 'DRB1*11:02', 'DRB1*11:03', 'DRB1*11:04', 'DRB1*11:05', 'DRB1*11:06', 'DRB1*11:07', 'DRB1*11:08', - 'DRB1*11:09', 'DRB1*11:10', 'DRB1*11:11', 'DRB1*11:12', 'DRB1*11:13', 'DRB1*11:14', 'DRB1*11:15', - 'DRB1*11:16', 'DRB1*11:17', 'DRB1*11:18', 'DRB1*11:19', 'DRB1*11:20', 'DRB1*11:21', 'DRB1*11:24', - 'DRB1*11:25', 'DRB1*11:27', 'DRB1*11:28', 'DRB1*11:29', 'DRB1*11:30', 'DRB1*11:31', 'DRB1*11:32', - 'DRB1*11:33', 'DRB1*11:34', 'DRB1*11:35', 'DRB1*11:36', 'DRB1*11:37', 'DRB1*11:38', 'DRB1*11:39', - 'DRB1*11:41', 'DRB1*11:42', 'DRB1*11:43', 'DRB1*11:44', 'DRB1*11:45', 'DRB1*11:46', 'DRB1*11:47', - 'DRB1*11:48', 'DRB1*11:49', 'DRB1*11:50', 'DRB1*11:51', 'DRB1*11:52', 'DRB1*11:53', 'DRB1*11:54', - 'DRB1*11:55', 'DRB1*11:56', 'DRB1*11:57', 'DRB1*11:58', 'DRB1*11:59', 'DRB1*11:60', 'DRB1*11:61', - 'DRB1*11:62', 'DRB1*11:63', 'DRB1*11:64', 'DRB1*11:65', 'DRB1*11:66', 'DRB1*11:67', 'DRB1*11:68', - 'DRB1*11:69', 'DRB1*11:70', 'DRB1*11:72', 'DRB1*11:73', 'DRB1*11:74', 'DRB1*11:75', 'DRB1*11:76', - 'DRB1*11:77', 'DRB1*11:78', 'DRB1*11:79', 'DRB1*11:80', 'DRB1*11:81', 'DRB1*11:82', 'DRB1*11:83', - 'DRB1*11:84', 'DRB1*11:85', 'DRB1*11:86', 'DRB1*11:87', 'DRB1*11:88', 'DRB1*11:89', 'DRB1*11:90', - 'DRB1*11:91', 'DRB1*11:92', 'DRB1*11:93', 'DRB1*11:94', 'DRB1*11:95', 'DRB1*11:96', 'DRB1*12:01', - 'DRB1*12:02', 'DRB1*12:03', 'DRB1*12:04', 'DRB1*12:05', 'DRB1*12:06', 'DRB1*12:07', 'DRB1*12:08', - 'DRB1*12:09', 'DRB1*12:10', 'DRB1*12:11', 'DRB1*12:12', 'DRB1*12:13', 'DRB1*12:14', 'DRB1*12:15', - 'DRB1*12:16', 'DRB1*12:17', 'DRB1*12:18', 'DRB1*12:19', 'DRB1*12:20', 'DRB1*12:21', 'DRB1*12:22', - 'DRB1*12:23', 'DRB1*13:01', 'DRB1*13:02', 'DRB1*13:03', 'DRB1*13:04', 'DRB1*13:05', 'DRB1*13:06', - 'DRB1*13:07', 'DRB1*13:08', 'DRB1*13:09', 'DRB1*13:10', 'DRB1*13:10:0', 'DRB1*13:10:1', 'DRB1*13:11', - 'DRB1*13:12', 'DRB1*13:13', 'DRB1*13:14', 'DRB1*13:15', 'DRB1*13:16', 'DRB1*13:17', 'DRB1*13:18', - 'DRB1*13:19', 'DRB1*13:20', 'DRB1*13:21', 'DRB1*13:22', 'DRB1*13:23', 'DRB1*13:24', 'DRB1*13:26', - 'DRB1*13:27', 'DRB1*13:29', 'DRB1*13:30', 'DRB1*13:31', 'DRB1*13:32', 'DRB1*13:33', 'DRB1*13:34', - 'DRB1*13:35', 'DRB1*13:36', 'DRB1*13:37', 'DRB1*13:38', 'DRB1*13:39', 'DRB1*13:41', 'DRB1*13:42', - 'DRB1*13:43', 'DRB1*13:44', 'DRB1*13:46', 'DRB1*13:47', 'DRB1*13:48', 'DRB1*13:49', 'DRB1*13:50', - 'DRB1*13:51', 'DRB1*13:52', 'DRB1*13:53', 'DRB1*13:54', 'DRB1*13:55', 'DRB1*13:56', 'DRB1*13:57', - 'DRB1*13:58', 'DRB1*13:59', 'DRB1*13:60', 'DRB1*13:61', 'DRB1*13:62', 'DRB1*13:63', 'DRB1*13:64', - 'DRB1*13:65', 'DRB1*13:66', 'DRB1*13:67', 'DRB1*13:68', 'DRB1*13:69', 'DRB1*13:70', 'DRB1*13:71', - 'DRB1*13:72', 'DRB1*13:73', 'DRB1*13:74', 'DRB1*13:75', 'DRB1*13:76', 'DRB1*13:77', 'DRB1*13:78', - 'DRB1*13:79', 'DRB1*13:80', 'DRB1*13:81', 'DRB1*13:82', 'DRB1*13:83', 'DRB1*13:84', 'DRB1*13:85', - 'DRB1*13:86', 'DRB1*13:87', 'DRB1*13:88', 'DRB1*13:89', 'DRB1*13:90', 'DRB1*13:91', 'DRB1*13:92', - 'DRB1*13:93', 'DRB1*13:94', 'DRB1*13:95', 'DRB1*13:96', 'DRB1*13:97', 'DRB1*13:98', 'DRB1*13:99', - 'DRB1*14:01', 'DRB1*14:02', 'DRB1*14:03', 'DRB1*14:04', 'DRB1*14:05', 'DRB1*14:06', 'DRB1*14:07', - 'DRB1*14:08', 'DRB1*14:09', 'DRB1*14:10', 'DRB1*14:11', 'DRB1*14:12', 'DRB1*14:13', 'DRB1*14:14', - 'DRB1*14:15', 'DRB1*14:16', 'DRB1*14:17', 'DRB1*14:18', 'DRB1*14:19', 'DRB1*14:20', 'DRB1*14:21', - 'DRB1*14:22', 'DRB1*14:23', 'DRB1*14:24', 'DRB1*14:25', 'DRB1*14:26', 'DRB1*14:27', 'DRB1*14:28', - 'DRB1*14:29', 'DRB1*14:30', 'DRB1*14:31', 'DRB1*14:32', 'DRB1*14:33', 'DRB1*14:34', 'DRB1*14:35', - 'DRB1*14:36', 'DRB1*14:37', 'DRB1*14:38', 'DRB1*14:39', 'DRB1*14:40', 'DRB1*14:41', 'DRB1*14:42', - 'DRB1*14:43', 'DRB1*14:44', 'DRB1*14:45', 'DRB1*14:46', 'DRB1*14:47', 'DRB1*14:48', 'DRB1*14:49', - 'DRB1*14:50', 'DRB1*14:51', 'DRB1*14:52', 'DRB1*14:53', 'DRB1*14:54', 'DRB1*14:55', 'DRB1*14:56', - 'DRB1*14:57', 'DRB1*14:58', 'DRB1*14:59', 'DRB1*14:60', 'DRB1*14:61', 'DRB1*14:62', 'DRB1*14:63', - 'DRB1*14:64', 'DRB1*14:65', 'DRB1*14:67', 'DRB1*14:68', 'DRB1*14:69', 'DRB1*14:70', 'DRB1*14:71', - 'DRB1*14:72', 'DRB1*14:73', 'DRB1*14:74', 'DRB1*14:75', 'DRB1*14:76', 'DRB1*14:77', 'DRB1*14:78', - 'DRB1*14:79', 'DRB1*14:80', 'DRB1*14:81', 'DRB1*14:82', 'DRB1*14:83', 'DRB1*14:84', 'DRB1*14:85', - 'DRB1*14:86', 'DRB1*14:87', 'DRB1*14:88', 'DRB1*14:89', 'DRB1*14:90', 'DRB1*14:91', 'DRB1*14:93', - 'DRB1*14:94', 'DRB1*14:95', 'DRB1*14:96', 'DRB1*14:97', 'DRB1*14:98', 'DRB1*14:99', 'DRB1*15:01', - 'DRB1*15:02', 'DRB1*15:03', 'DRB1*15:04', 'DRB1*15:05', 'DRB1*15:06', 'DRB1*15:07', 'DRB1*15:08', - 'DRB1*15:09', 'DRB1*15:10', 'DRB1*15:11', 'DRB1*15:12', 'DRB1*15:13', 'DRB1*15:14', 'DRB1*15:15', - 'DRB1*15:16', 'DRB1*15:18', 'DRB1*15:19', 'DRB1*15:20', 'DRB1*15:21', 'DRB1*15:22', 'DRB1*15:23', - 'DRB1*15:24', 'DRB1*15:25', 'DRB1*15:26', 'DRB1*15:27', 'DRB1*15:28', 'DRB1*15:29', 'DRB1*15:30', - 'DRB1*15:31', 'DRB1*15:32', 'DRB1*15:33', 'DRB1*15:34', 'DRB1*15:35', 'DRB1*15:36', 'DRB1*15:37', - 'DRB1*15:38', 'DRB1*15:39', 'DRB1*15:40', 'DRB1*15:41', 'DRB1*15:42', 'DRB1*15:43', 'DRB1*15:44', - 'DRB1*15:45', 'DRB1*15:46', 'DRB1*15:47', 'DRB1*15:48', 'DRB1*15:49', 'DRB1*16:01', 'DRB1*16:02', - 'DRB1*16:03', 'DRB1*16:04', 'DRB1*16:05', 'DRB1*16:07', 'DRB1*16:08', 'DRB1*16:09', 'DRB1*16:10', - 'DRB1*16:11', 'DRB1*16:12', 'DRB1*16:14', 'DRB1*16:15', 'DRB1*16:16', 'DRB3*01:01', 'DRB3*01:04', - 'DRB3*01:05', 'DRB3*01:08', 'DRB3*01:09', 'DRB3*01:11', 'DRB3*01:12', 'DRB3*01:13', 'DRB3*01:14', - 'DRB3*02:01', 'DRB3*02:02', 'DRB3*02:04', 'DRB3*02:05', 'DRB3*02:09', 'DRB3*02:10', 'DRB3*02:11', - 'DRB3*02:12', 'DRB3*02:13', 'DRB3*02:14', 'DRB3*02:15', 'DRB3*02:16', 'DRB3*02:17', 'DRB3*02:18', - 'DRB3*02:19', 'DRB3*02:20', 'DRB3*02:21', 'DRB3*02:22', 'DRB3*02:23', 'DRB3*02:24', 'DRB3*02:25', - 'DRB3*03:01', 'DRB3*03:03', 'DRB4*01:01', 'DRB4*01:03', 'DRB4*01:04', 'DRB4*01:06', 'DRB4*01:07', - 'DRB4*01:08', 'DRB5*01:01', 'DRB5*01:02', 'DRB5*01:03', 'DRB5*01:04', 'DRB5*01:05', 'DRB5*01:06', - 'DRB5*01:08N', 'DRB5*01:11', 'DRB5*01:12', 'DRB5*01:13', 'DRB5*01:14', 'DRB5*02:02', 'DRB5*02:03', - 'DRB5*02:04', 'DRB5*02:05']) - __version = "3.0" - - @property - def version(self): - return self.__version - - @property - def command(self): - return self.__command - - @property - def supportedLength(self): - return self.__supported_length - - @property - def supportedAlleles(self): - return self.__alleles - - @property - def name(self): - return self.__name - -
[docs] def convert_alleles(self, alleles): - return ["%s_%s%s"%(a.locus, a.supertype, a.subtype) for a in alleles] -
-
[docs] def parse_external_result(self, _file): - result = defaultdict(defaultdict) - f = csv.reader(open(_file, "r"), delimiter='\t') - alleles = map(lambda x: x.replace("*","_").replace(":",""), set(filter(lambda x: x != "",f.next()))) - f.next() - ic_pos = 3 - for row in f: - pep_seq = row[1] - for i, a in enumerate(alleles): - result[a][pep_seq] = float(row[ic_pos+i*3]) - return result -
-
[docs] def get_external_version(self, path=None): - #can't be determined method does not support --version or similar - return None -
-
[docs] def prepare_peptide_input(self, _peptides, _file): - _file.write("\n".join(_peptides)) - -
-
[docs]class PickPocket_1_1(AExternalEpitopePrediction): - """ - Implementation of PickPocket adapter - - Zhang, H., Lund, O., & Nielsen, M. (2009). The PickPocket method for predicting binding specificities - for receptors based on receptor pocket similarities: application to MHC-peptide binding. - Bioinformatics, 25(10), 1293-1299. - - """ - __name = "pickpocket" - __supported_length = frozenset([8, 9, 10, 11]) - __command = 'PickPocket -p {peptides} -a {alleles} {options} | grep -v "#" > {out}' - __supported_alleles = frozenset(['A*01:01', 'A*01:02', 'A*01:03', 'A*01:06', 'A*01:07', 'A*01:08', 'A*01:09', - 'A*01:10', 'A*01:12', 'A*01:13', 'A*01:14', 'A*01:17', 'A*01:19', 'A*01:20', 'A*01:21', 'A*01:23', 'A*01:24', - 'A*01:25', 'A*01:26', 'A*01:28', 'A*01:29', 'A*01:30', 'A*01:32', 'A*01:33', 'A*01:35', 'A*01:36', 'A*01:37', - 'A*01:38', 'A*01:39', 'A*01:40', 'A*01:41', 'A*01:42', 'A*01:43', 'A*01:44', 'A*01:45', 'A*01:46', 'A*01:47', - 'A*01:48', 'A*01:49', 'A*01:50', 'A*01:51', 'A*01:54', 'A*01:55', 'A*01:58', 'A*01:59', 'A*01:60', 'A*01:61', - 'A*01:62', 'A*01:63', 'A*01:64', 'A*01:65', 'A*01:66', 'A*02:01', 'A*02:02', 'A*02:03', 'A*02:04', 'A*02:05', - 'A*02:06', 'A*02:07', 'A*02:08', 'A*02:09', 'A*02:10', 'A*02:11', 'A*02:12', 'A*02:13', 'A*02:14', 'A*02:16', - 'A*02:17', 'A*02:18', 'A*02:19', 'A*02:20', 'A*02:21', 'A*02:22', 'A*02:24', 'A*02:25', 'A*02:26', 'A*02:27', - 'A*02:28', 'A*02:29', 'A*02:30', 'A*02:31', 'A*02:33', 'A*02:34', 'A*02:35', 'A*02:36', 'A*02:37', 'A*02:38', - 'A*02:39', 'A*02:40', 'A*02:41', 'A*02:42', 'A*02:44', 'A*02:45', 'A*02:46', 'A*02:47', 'A*02:48', 'A*02:49', - 'A*02:50', 'A*02:51', 'A*02:52', 'A*02:54', 'A*02:55', 'A*02:56', 'A*02:57', 'A*02:58', 'A*02:59', 'A*02:60', - 'A*02:61', 'A*02:62', 'A*02:63', 'A*02:64', 'A*02:65', 'A*02:66', 'A*02:67', 'A*02:68', 'A*02:69', 'A*02:70', - 'A*02:71', 'A*02:72', 'A*02:73', 'A*02:74', 'A*02:75', 'A*02:76', 'A*02:77', 'A*02:78', 'A*02:79', 'A*02:80', - 'A*02:81', 'A*02:84', 'A*02:85', 'A*02:86', 'A*02:87', 'A*02:89', 'A*02:90', 'A*02:91', 'A*02:92', 'A*02:93', - 'A*02:95', 'A*02:96', 'A*02:97', 'A*02:99', 'A*02:101', 'A*02:102', 'A*02:103', 'A*02:104', 'A*02:105', - 'A*02:106', 'A*02:107', 'A*02:108', 'A*02:109', 'A*02:110', 'A*02:111', 'A*02:112', 'A*02:114', 'A*02:115', - 'A*02:116', 'A*02:117', 'A*02:118', 'A*02:119', 'A*02:120', 'A*02:121', 'A*02:122', 'A*02:123', 'A*02:124', - 'A*02:126', 'A*02:127', 'A*02:128', 'A*02:129', 'A*02:130', 'A*02:131', 'A*02:132', 'A*02:133', 'A*02:134', - 'A*02:135', 'A*02:136', 'A*02:137', 'A*02:138', 'A*02:139', 'A*02:140', 'A*02:141', 'A*02:142', 'A*02:143', - 'A*02:144', 'A*02:145', 'A*02:146', 'A*02:147', 'A*02:148', 'A*02:149', 'A*02:150', 'A*02:151', 'A*02:152', - 'A*02:153', 'A*02:154', 'A*02:155', 'A*02:156', 'A*02:157', 'A*02:158', 'A*02:159', 'A*02:160', 'A*02:161', - 'A*02:162', 'A*02:163', 'A*02:164', 'A*02:165', 'A*02:166', 'A*02:167', 'A*02:168', 'A*02:169', 'A*02:170', - 'A*02:171', 'A*02:172', 'A*02:173', 'A*02:174', 'A*02:175', 'A*02:176', 'A*02:177', 'A*02:178', 'A*02:179', - 'A*02:180', 'A*02:181', 'A*02:182', 'A*02:183', 'A*02:184', 'A*02:185', 'A*02:186', 'A*02:187', 'A*02:188', - 'A*02:189', 'A*02:190', 'A*02:191', 'A*02:192', 'A*02:193', 'A*02:194', 'A*02:195', 'A*02:196', 'A*02:197', - 'A*02:198', 'A*02:199', 'A*02:200', 'A*02:201', 'A*02:202', 'A*02:203', 'A*02:204', 'A*02:205', 'A*02:206', - 'A*02:207', 'A*02:208', 'A*02:209', 'A*02:210', 'A*02:211', 'A*02:212', 'A*02:213', 'A*02:214', 'A*02:215', - 'A*02:216', 'A*02:217', 'A*02:218', 'A*02:219', 'A*02:220', 'A*02:221', 'A*02:224', 'A*02:228', 'A*02:229', - 'A*02:230', 'A*02:231', 'A*02:232', 'A*02:233', 'A*02:234', 'A*02:235', 'A*02:236', 'A*02:237', 'A*02:238', - 'A*02:239', 'A*02:240', 'A*02:241', 'A*02:242', 'A*02:243', 'A*02:244', 'A*02:245', 'A*02:246', 'A*02:247', - 'A*02:248', 'A*02:249', 'A*02:251', 'A*02:252', 'A*02:253', 'A*02:254', 'A*02:255', 'A*02:256', 'A*02:257', - 'A*02:258', 'A*02:259', 'A*02:260', 'A*02:261', 'A*02:262', 'A*02:263', 'A*02:264', 'A*02:265', 'A*02:266', - 'A*03:01', 'A*03:02', 'A*03:04', 'A*03:05', 'A*03:06', 'A*03:07', 'A*03:08', 'A*03:09', 'A*03:10', 'A*03:12', - 'A*03:13', 'A*03:14', 'A*03:15', 'A*03:16', 'A*03:17', 'A*03:18', 'A*03:19', 'A*03:20', 'A*03:22', 'A*03:23', - 'A*03:24', 'A*03:25', 'A*03:26', 'A*03:27', 'A*03:28', 'A*03:29', 'A*03:30', 'A*03:31', 'A*03:32', 'A*03:33', - 'A*03:34', 'A*03:35', 'A*03:37', 'A*03:38', 'A*03:39', 'A*03:40', 'A*03:41', 'A*03:42', 'A*03:43', 'A*03:44', - 'A*03:45', 'A*03:46', 'A*03:47', 'A*03:48', 'A*03:49', 'A*03:50', 'A*03:51', 'A*03:52', 'A*03:53', 'A*03:54', - 'A*03:55', 'A*03:56', 'A*03:57', 'A*03:58', 'A*03:59', 'A*03:60', 'A*03:61', 'A*03:62', 'A*03:63', 'A*03:64', - 'A*03:65', 'A*03:66', 'A*03:67', 'A*03:70', 'A*03:71', 'A*03:72', 'A*03:73', 'A*03:74', 'A*03:75', 'A*03:76', - 'A*03:77', 'A*03:78', 'A*03:79', 'A*03:80', 'A*03:81', 'A*03:82', 'A*11:01', 'A*11:02', 'A*11:03', 'A*11:04', - 'A*11:05', 'A*11:06', 'A*11:07', 'A*11:08', 'A*11:09', 'A*11:10', 'A*11:11', 'A*11:12', 'A*11:13', 'A*11:14', - 'A*11:15', 'A*11:16', 'A*11:17', 'A*11:18', 'A*11:19', 'A*11:20', 'A*11:22', 'A*11:23', 'A*11:24', 'A*11:25', - 'A*11:26', 'A*11:27', 'A*11:29', 'A*11:30', 'A*11:31', 'A*11:32', 'A*11:33', 'A*11:34', 'A*11:35', 'A*11:36', - 'A*11:37', 'A*11:38', 'A*11:39', 'A*11:40', 'A*11:41', 'A*11:42', 'A*11:43', 'A*11:44', 'A*11:45', 'A*11:46', - 'A*11:47', 'A*11:48', 'A*11:49', 'A*11:51', 'A*11:53', 'A*11:54', 'A*11:55', 'A*11:56', 'A*11:57', 'A*11:58', - 'A*11:59', 'A*11:60', 'A*11:61', 'A*11:62', 'A*11:63', 'A*11:64', 'A*23:01', 'A*23:02', 'A*23:03', 'A*23:04', - 'A*23:05', 'A*23:06', 'A*23:09', 'A*23:10', 'A*23:12', 'A*23:13', 'A*23:14', 'A*23:15', 'A*23:16', 'A*23:17', - 'A*23:18', 'A*23:20', 'A*23:21', 'A*23:22', 'A*23:23', 'A*23:24', 'A*23:25', 'A*23:26', 'A*24:02', 'A*24:03', - 'A*24:04', 'A*24:05', 'A*24:06', 'A*24:07', 'A*24:08', 'A*24:10', 'A*24:13', 'A*24:14', 'A*24:15', 'A*24:17', - 'A*24:18', 'A*24:19', 'A*24:20', 'A*24:21', 'A*24:22', 'A*24:23', 'A*24:24', 'A*24:25', 'A*24:26', 'A*24:27', - 'A*24:28', 'A*24:29', 'A*24:30', 'A*24:31', 'A*24:32', 'A*24:33', 'A*24:34', 'A*24:35', 'A*24:37', 'A*24:38', - 'A*24:39', 'A*24:41', 'A*24:42', 'A*24:43', 'A*24:44', 'A*24:46', 'A*24:47', 'A*24:49', 'A*24:50', 'A*24:51', - 'A*24:52', 'A*24:53', 'A*24:54', 'A*24:55', 'A*24:56', 'A*24:57', 'A*24:58', 'A*24:59', 'A*24:61', 'A*24:62', - 'A*24:63', 'A*24:64', 'A*24:66', 'A*24:67', 'A*24:68', 'A*24:69', 'A*24:70', 'A*24:71', 'A*24:72', 'A*24:73', - 'A*24:74', 'A*24:75', 'A*24:76', 'A*24:77', 'A*24:78', 'A*24:79', 'A*24:80', 'A*24:81', 'A*24:82', 'A*24:85', - 'A*24:87', 'A*24:88', 'A*24:89', 'A*24:91', 'A*24:92', 'A*24:93', 'A*24:94', 'A*24:95', 'A*24:96', 'A*24:97', - 'A*24:98', 'A*24:99', 'A*24:100', 'A*24:101', 'A*24:102', 'A*24:103', 'A*24:104', 'A*24:105', 'A*24:106', - 'A*24:107', 'A*24:108', 'A*24:109', 'A*24:110', 'A*24:111', 'A*24:112', 'A*24:113', 'A*24:114', 'A*24:115', - 'A*24:116', 'A*24:117', 'A*24:118', 'A*24:119', 'A*24:120', 'A*24:121', 'A*24:122', 'A*24:123', 'A*24:124', - 'A*24:125', 'A*24:126', 'A*24:127', 'A*24:128', 'A*24:129', 'A*24:130', 'A*24:131', 'A*24:133', 'A*24:134', - 'A*24:135', 'A*24:136', 'A*24:137', 'A*24:138', 'A*24:139', 'A*24:140', 'A*24:141', 'A*24:142', 'A*24:143', - 'A*24:144', 'A*25:01', 'A*25:02', 'A*25:03', 'A*25:04', 'A*25:05', 'A*25:06', 'A*25:07', 'A*25:08', 'A*25:09', - 'A*25:10', 'A*25:11', 'A*25:13', 'A*26:01', 'A*26:02', 'A*26:03', 'A*26:04', 'A*26:05', 'A*26:06', 'A*26:07', - 'A*26:08', 'A*26:09', 'A*26:10', 'A*26:12', 'A*26:13', 'A*26:14', 'A*26:15', 'A*26:16', 'A*26:17', 'A*26:18', - 'A*26:19', 'A*26:20', 'A*26:21', 'A*26:22', 'A*26:23', 'A*26:24', 'A*26:26', 'A*26:27', 'A*26:28', 'A*26:29', - 'A*26:30', 'A*26:31', 'A*26:32', 'A*26:33', 'A*26:34', 'A*26:35', 'A*26:36', 'A*26:37', 'A*26:38', 'A*26:39', - 'A*26:40', 'A*26:41', 'A*26:42', 'A*26:43', 'A*26:45', 'A*26:46', 'A*26:47', 'A*26:48', 'A*26:49', 'A*26:50', - 'A*29:01', 'A*29:02', 'A*29:03', 'A*29:04', 'A*29:05', 'A*29:06', 'A*29:07', 'A*29:09', 'A*29:10', 'A*29:11', - 'A*29:12', 'A*29:13', 'A*29:14', 'A*29:15', 'A*29:16', 'A*29:17', 'A*29:18', 'A*29:19', 'A*29:20', 'A*29:21', - 'A*29:22', 'A*30:01', 'A*30:02', 'A*30:03', 'A*30:04', 'A*30:06', 'A*30:07', 'A*30:08', 'A*30:09', 'A*30:10', - 'A*30:11', 'A*30:12', 'A*30:13', 'A*30:15', 'A*30:16', 'A*30:17', 'A*30:18', 'A*30:19', 'A*30:20', 'A*30:22', - 'A*30:23', 'A*30:24', 'A*30:25', 'A*30:26', 'A*30:28', 'A*30:29', 'A*30:30', 'A*30:31', 'A*30:32', 'A*30:33', - 'A*30:34', 'A*30:35', 'A*30:36', 'A*30:37', 'A*30:38', 'A*30:39', 'A*30:40', 'A*30:41', 'A*31:01', 'A*31:02', - 'A*31:03', 'A*31:04', 'A*31:05', 'A*31:06', 'A*31:07', 'A*31:08', 'A*31:09', 'A*31:10', 'A*31:11', 'A*31:12', - 'A*31:13', 'A*31:15', 'A*31:16', 'A*31:17', 'A*31:18', 'A*31:19', 'A*31:20', 'A*31:21', 'A*31:22', 'A*31:23', - 'A*31:24', 'A*31:25', 'A*31:26', 'A*31:27', 'A*31:28', 'A*31:29', 'A*31:30', 'A*31:31', 'A*31:32', 'A*31:33', - 'A*31:34', 'A*31:35', 'A*31:36', 'A*31:37', 'A*32:01', 'A*32:02', 'A*32:03', 'A*32:04', 'A*32:05', 'A*32:06', - 'A*32:07', 'A*32:08', 'A*32:09', 'A*32:10', 'A*32:12', 'A*32:13', 'A*32:14', 'A*32:15', 'A*32:16', 'A*32:17', - 'A*32:18', 'A*32:20', 'A*32:21', 'A*32:22', 'A*32:23', 'A*32:24', 'A*32:25', 'A*33:01', 'A*33:03', 'A*33:04', - 'A*33:05', 'A*33:06', 'A*33:07', 'A*33:08', 'A*33:09', 'A*33:10', 'A*33:11', 'A*33:12', 'A*33:13', 'A*33:14', - 'A*33:15', 'A*33:16', 'A*33:17', 'A*33:18', 'A*33:19', 'A*33:20', 'A*33:21', 'A*33:22', 'A*33:23', 'A*33:24', - 'A*33:25', 'A*33:26', 'A*33:27', 'A*33:28', 'A*33:29', 'A*33:30', 'A*33:31', 'A*34:01', 'A*34:02', 'A*34:03', - 'A*34:04', 'A*34:05', 'A*34:06', 'A*34:07', 'A*34:08', 'A*36:01', 'A*36:02', 'A*36:03', 'A*36:04', 'A*36:05', - 'A*43:01', 'A*66:01', 'A*66:02', 'A*66:03', 'A*66:04', 'A*66:05', 'A*66:06', 'A*66:07', 'A*66:08', 'A*66:09', - 'A*66:10', 'A*66:11', 'A*66:12', 'A*66:13', 'A*66:14', 'A*66:15', 'A*68:01', 'A*68:02', 'A*68:03', 'A*68:04', - 'A*68:05', 'A*68:06', 'A*68:07', 'A*68:08', 'A*68:09', 'A*68:10', 'A*68:12', 'A*68:13', 'A*68:14', 'A*68:15', - 'A*68:16', 'A*68:17', 'A*68:19', 'A*68:20', 'A*68:21', 'A*68:22', 'A*68:23', 'A*68:24', 'A*68:25', 'A*68:26', - 'A*68:27', 'A*68:28', 'A*68:29', 'A*68:30', 'A*68:31', 'A*68:32', 'A*68:33', 'A*68:34', 'A*68:35', 'A*68:36', - 'A*68:37', 'A*68:38', 'A*68:39', 'A*68:40', 'A*68:41', 'A*68:42', 'A*68:43', 'A*68:44', 'A*68:45', 'A*68:46', - 'A*68:47', 'A*68:48', 'A*68:50', 'A*68:51', 'A*68:52', 'A*68:53', 'A*68:54', 'A*69:01', 'A*74:01', 'A*74:02', - 'A*74:03', 'A*74:04', 'A*74:05', 'A*74:06', 'A*74:07', 'A*74:08', 'A*74:09', 'A*74:10', 'A*74:11', 'A*74:13', - 'A*80:01', 'A*80:02', 'B*07:02', 'B*07:03', 'B*07:04', 'B*07:05', 'B*07:06', 'B*07:07', 'B*07:08', 'B*07:09', - 'B*07:10', 'B*07:11', 'B*07:12', 'B*07:13', 'B*07:14', 'B*07:15', 'B*07:16', 'B*07:17', 'B*07:18', 'B*07:19', - 'B*07:20', 'B*07:21', 'B*07:22', 'B*07:23', 'B*07:24', 'B*07:25', 'B*07:26', 'B*07:27', 'B*07:28', 'B*07:29', - 'B*07:30', 'B*07:31', 'B*07:32', 'B*07:33', 'B*07:34', 'B*07:35', 'B*07:36', 'B*07:37', 'B*07:38', 'B*07:39', - 'B*07:40', 'B*07:41', 'B*07:42', 'B*07:43', 'B*07:44', 'B*07:45', 'B*07:46', 'B*07:47', 'B*07:48', 'B*07:50', - 'B*07:51', 'B*07:52', 'B*07:53', 'B*07:54', 'B*07:55', 'B*07:56', 'B*07:57', 'B*07:58', 'B*07:59', 'B*07:60', - 'B*07:61', 'B*07:62', 'B*07:63', 'B*07:64', 'B*07:65', 'B*07:66', 'B*07:68', 'B*07:69', 'B*07:70', 'B*07:71', - 'B*07:72', 'B*07:73', 'B*07:74', 'B*07:75', 'B*07:76', 'B*07:77', 'B*07:78', 'B*07:79', 'B*07:80', 'B*07:81', - 'B*07:82', 'B*07:83', 'B*07:84', 'B*07:85', 'B*07:86', 'B*07:87', 'B*07:88', 'B*07:89', 'B*07:90', 'B*07:91', - 'B*07:92', 'B*07:93', 'B*07:94', 'B*07:95', 'B*07:96', 'B*07:97', 'B*07:98', 'B*07:99', 'B*07:100', 'B*07:101', - 'B*07:102', 'B*07:103', 'B*07:104', 'B*07:105', 'B*07:106', 'B*07:107', 'B*07:108', 'B*07:109', 'B*07:110', - 'B*07:112', 'B*07:113', 'B*07:114', 'B*07:115', 'B*08:01', 'B*08:02', 'B*08:03', 'B*08:04', 'B*08:05', - 'B*08:07', 'B*08:09', 'B*08:10', 'B*08:11', 'B*08:12', 'B*08:13', 'B*08:14', 'B*08:15', 'B*08:16', 'B*08:17', - 'B*08:18', 'B*08:20', 'B*08:21', 'B*08:22', 'B*08:23', 'B*08:24', 'B*08:25', 'B*08:26', 'B*08:27', 'B*08:28', - 'B*08:29', 'B*08:31', 'B*08:32', 'B*08:33', 'B*08:34', 'B*08:35', 'B*08:36', 'B*08:37', 'B*08:38', 'B*08:39', - 'B*08:40', 'B*08:41', 'B*08:42', 'B*08:43', 'B*08:44', 'B*08:45', 'B*08:46', 'B*08:47', 'B*08:48', 'B*08:49', - 'B*08:50', 'B*08:51', 'B*08:52', 'B*08:53', 'B*08:54', 'B*08:55', 'B*08:56', 'B*08:57', 'B*08:58', 'B*08:59', - 'B*08:60', 'B*08:61', 'B*08:62', 'B*13:01', 'B*13:02', 'B*13:03', 'B*13:04', 'B*13:06', 'B*13:09', 'B*13:10', - 'B*13:11', 'B*13:12', 'B*13:13', 'B*13:14', 'B*13:15', 'B*13:16', 'B*13:17', 'B*13:18', 'B*13:19', 'B*13:20', - 'B*13:21', 'B*13:22', 'B*13:23', 'B*13:25', 'B*13:26', 'B*13:27', 'B*13:28', 'B*13:29', 'B*13:30', 'B*13:31', - 'B*13:32', 'B*13:33', 'B*13:34', 'B*13:35', 'B*13:36', 'B*13:37', 'B*13:38', 'B*13:39', 'B*14:01', 'B*14:02', - 'B*14:03', 'B*14:04', 'B*14:05', 'B*14:06', 'B*14:08', 'B*14:09', 'B*14:10', 'B*14:11', 'B*14:12', 'B*14:13', - 'B*14:14', 'B*14:15', 'B*14:16', 'B*14:17', 'B*14:18', 'B*15:01', 'B*15:02', 'B*15:03', 'B*15:04', 'B*15:05', - 'B*15:06', 'B*15:07', 'B*15:08', 'B*15:09', 'B*15:10', 'B*15:11', 'B*15:12', 'B*15:13', 'B*15:14', 'B*15:15', - 'B*15:16', 'B*15:17', 'B*15:18', 'B*15:19', 'B*15:20', 'B*15:21', 'B*15:23', 'B*15:24', 'B*15:25', 'B*15:27', - 'B*15:28', 'B*15:29', 'B*15:30', 'B*15:31', 'B*15:32', 'B*15:33', 'B*15:34', 'B*15:35', 'B*15:36', 'B*15:37', - 'B*15:38', 'B*15:39', 'B*15:40', 'B*15:42', 'B*15:43', 'B*15:44', 'B*15:45', 'B*15:46', 'B*15:47', 'B*15:48', - 'B*15:49', 'B*15:50', 'B*15:51', 'B*15:52', 'B*15:53', 'B*15:54', 'B*15:55', 'B*15:56', 'B*15:57', 'B*15:58', - 'B*15:60', 'B*15:61', 'B*15:62', 'B*15:63', 'B*15:64', 'B*15:65', 'B*15:66', 'B*15:67', 'B*15:68', 'B*15:69', - 'B*15:70', 'B*15:71', 'B*15:72', 'B*15:73', 'B*15:74', 'B*15:75', 'B*15:76', 'B*15:77', 'B*15:78', 'B*15:80', - 'B*15:81', 'B*15:82', 'B*15:83', 'B*15:84', 'B*15:85', 'B*15:86', 'B*15:87', 'B*15:88', 'B*15:89', 'B*15:90', - 'B*15:91', 'B*15:92', 'B*15:93', 'B*15:95', 'B*15:96', 'B*15:97', 'B*15:98', 'B*15:99', 'B*15:101', 'B*15:102', - 'B*15:103', 'B*15:104', 'B*15:105', 'B*15:106', 'B*15:107', 'B*15:108', 'B*15:109', 'B*15:110', 'B*15:112', - 'B*15:113', 'B*15:114', 'B*15:115', 'B*15:116', 'B*15:117', 'B*15:118', 'B*15:119', 'B*15:120', 'B*15:121', - 'B*15:122', 'B*15:123', 'B*15:124', 'B*15:125', 'B*15:126', 'B*15:127', 'B*15:128', 'B*15:129', 'B*15:131', - 'B*15:132', 'B*15:133', 'B*15:134', 'B*15:135', 'B*15:136', 'B*15:137', 'B*15:138', 'B*15:139', 'B*15:140', - 'B*15:141', 'B*15:142', 'B*15:143', 'B*15:144', 'B*15:145', 'B*15:146', 'B*15:147', 'B*15:148', 'B*15:150', - 'B*15:151', 'B*15:152', 'B*15:153', 'B*15:154', 'B*15:155', 'B*15:156', 'B*15:157', 'B*15:158', 'B*15:159', - 'B*15:160', 'B*15:161', 'B*15:162', 'B*15:163', 'B*15:164', 'B*15:165', 'B*15:166', 'B*15:167', 'B*15:168', - 'B*15:169', 'B*15:170', 'B*15:171', 'B*15:172', 'B*15:173', 'B*15:174', 'B*15:175', 'B*15:176', 'B*15:177', - 'B*15:178', 'B*15:179', 'B*15:180', 'B*15:183', 'B*15:184', 'B*15:185', 'B*15:186', 'B*15:187', 'B*15:188', - 'B*15:189', 'B*15:191', 'B*15:192', 'B*15:193', 'B*15:194', 'B*15:195', 'B*15:196', 'B*15:197', 'B*15:198', - 'B*15:199', 'B*15:200', 'B*15:201', 'B*15:202', 'B*18:01', 'B*18:02', 'B*18:03', 'B*18:04', 'B*18:05', - 'B*18:06', 'B*18:07', 'B*18:08', 'B*18:09', 'B*18:10', 'B*18:11', 'B*18:12', 'B*18:13', 'B*18:14', 'B*18:15', - 'B*18:18', 'B*18:19', 'B*18:20', 'B*18:21', 'B*18:22', 'B*18:24', 'B*18:25', 'B*18:26', 'B*18:27', 'B*18:28', - 'B*18:29', 'B*18:30', 'B*18:31', 'B*18:32', 'B*18:33', 'B*18:34', 'B*18:35', 'B*18:36', 'B*18:37', 'B*18:38', - 'B*18:39', 'B*18:40', 'B*18:41', 'B*18:42', 'B*18:43', 'B*18:44', 'B*18:45', 'B*18:46', 'B*18:47', 'B*18:48', - 'B*18:49', 'B*18:50', 'B*27:01', 'B*27:02', 'B*27:03', 'B*27:04', 'B*27:05', 'B*27:06', 'B*27:07', 'B*27:08', - 'B*27:09', 'B*27:10', 'B*27:11', 'B*27:12', 'B*27:13', 'B*27:14', 'B*27:15', 'B*27:16', 'B*27:17', 'B*27:18', - 'B*27:19', 'B*27:20', 'B*27:21', 'B*27:23', 'B*27:24', 'B*27:25', 'B*27:26', 'B*27:27', 'B*27:28', 'B*27:29', - 'B*27:30', 'B*27:31', 'B*27:32', 'B*27:33', 'B*27:34', 'B*27:35', 'B*27:36', 'B*27:37', 'B*27:38', 'B*27:39', - 'B*27:40', 'B*27:41', 'B*27:42', 'B*27:43', 'B*27:44', 'B*27:45', 'B*27:46', 'B*27:47', 'B*27:48', 'B*27:49', - 'B*27:50', 'B*27:51', 'B*27:52', 'B*27:53', 'B*27:54', 'B*27:55', 'B*27:56', 'B*27:57', 'B*27:58', 'B*27:60', - 'B*27:61', 'B*27:62', 'B*27:63', 'B*27:67', 'B*27:68', 'B*27:69', 'B*35:01', 'B*35:02', 'B*35:03', 'B*35:04', - 'B*35:05', 'B*35:06', 'B*35:07', 'B*35:08', 'B*35:09', 'B*35:10', 'B*35:11', 'B*35:12', 'B*35:13', 'B*35:14', - 'B*35:15', 'B*35:16', 'B*35:17', 'B*35:18', 'B*35:19', 'B*35:20', 'B*35:21', 'B*35:22', 'B*35:23', 'B*35:24', - 'B*35:25', 'B*35:26', 'B*35:27', 'B*35:28', 'B*35:29', 'B*35:30', 'B*35:31', 'B*35:32', 'B*35:33', 'B*35:34', - 'B*35:35', 'B*35:36', 'B*35:37', 'B*35:38', 'B*35:39', 'B*35:41', 'B*35:42', 'B*35:43', 'B*35:44', 'B*35:45', - 'B*35:46', 'B*35:47', 'B*35:48', 'B*35:49', 'B*35:50', 'B*35:51', 'B*35:52', 'B*35:54', 'B*35:55', 'B*35:56', - 'B*35:57', 'B*35:58', 'B*35:59', 'B*35:60', 'B*35:61', 'B*35:62', 'B*35:63', 'B*35:64', 'B*35:66', 'B*35:67', - 'B*35:68', 'B*35:69', 'B*35:70', 'B*35:71', 'B*35:72', 'B*35:74', 'B*35:75', 'B*35:76', 'B*35:77', 'B*35:78', - 'B*35:79', 'B*35:80', 'B*35:81', 'B*35:82', 'B*35:83', 'B*35:84', 'B*35:85', 'B*35:86', 'B*35:87', 'B*35:88', - 'B*35:89', 'B*35:90', 'B*35:91', 'B*35:92', 'B*35:93', 'B*35:94', 'B*35:95', 'B*35:96', 'B*35:97', 'B*35:98', - 'B*35:99', 'B*35:100', 'B*35:101', 'B*35:102', 'B*35:103', 'B*35:104', 'B*35:105', 'B*35:106', 'B*35:107', - 'B*35:108', 'B*35:109', 'B*35:110', 'B*35:111', 'B*35:112', 'B*35:113', 'B*35:114', 'B*35:115', 'B*35:116', - 'B*35:117', 'B*35:118', 'B*35:119', 'B*35:120', 'B*35:121', 'B*35:122', 'B*35:123', 'B*35:124', 'B*35:125', - 'B*35:126', 'B*35:127', 'B*35:128', 'B*35:131', 'B*35:132', 'B*35:133', 'B*35:135', 'B*35:136', 'B*35:137', - 'B*35:138', 'B*35:139', 'B*35:140', 'B*35:141', 'B*35:142', 'B*35:143', 'B*35:144', 'B*37:01', 'B*37:02', - 'B*37:04', 'B*37:05', 'B*37:06', 'B*37:07', 'B*37:08', 'B*37:09', 'B*37:10', 'B*37:11', 'B*37:12', 'B*37:13', - 'B*37:14', 'B*37:15', 'B*37:17', 'B*37:18', 'B*37:19', 'B*37:20', 'B*37:21', 'B*37:22', 'B*37:23', 'B*38:01', - 'B*38:02', 'B*38:03', 'B*38:04', 'B*38:05', 'B*38:06', 'B*38:07', 'B*38:08', 'B*38:09', 'B*38:10', 'B*38:11', - 'B*38:12', 'B*38:13', 'B*38:14', 'B*38:15', 'B*38:16', 'B*38:17', 'B*38:18', 'B*38:19', 'B*38:20', 'B*38:21', - 'B*38:22', 'B*38:23', 'B*39:01', 'B*39:02', 'B*39:03', 'B*39:04', 'B*39:05', 'B*39:06', 'B*39:07', 'B*39:08', - 'B*39:09', 'B*39:10', 'B*39:11', 'B*39:12', 'B*39:13', 'B*39:14', 'B*39:15', 'B*39:16', 'B*39:17', 'B*39:18', - 'B*39:19', 'B*39:20', 'B*39:22', 'B*39:23', 'B*39:24', 'B*39:26', 'B*39:27', 'B*39:28', 'B*39:29', 'B*39:30', - 'B*39:31', 'B*39:32', 'B*39:33', 'B*39:34', 'B*39:35', 'B*39:36', 'B*39:37', 'B*39:39', 'B*39:41', 'B*39:42', - 'B*39:43', 'B*39:44', 'B*39:45', 'B*39:46', 'B*39:47', 'B*39:48', 'B*39:49', 'B*39:50', 'B*39:51', 'B*39:52', - 'B*39:53', 'B*39:54', 'B*39:55', 'B*39:56', 'B*39:57', 'B*39:58', 'B*39:59', 'B*39:60', 'B*40:01', 'B*40:02', - 'B*40:03', 'B*40:04', 'B*40:05', 'B*40:06', 'B*40:07', 'B*40:08', 'B*40:09', 'B*40:10', 'B*40:11', 'B*40:12', - 'B*40:13', 'B*40:14', 'B*40:15', 'B*40:16', 'B*40:18', 'B*40:19', 'B*40:20', 'B*40:21', 'B*40:23', 'B*40:24', - 'B*40:25', 'B*40:26', 'B*40:27', 'B*40:28', 'B*40:29', 'B*40:30', 'B*40:31', 'B*40:32', 'B*40:33', 'B*40:34', - 'B*40:35', 'B*40:36', 'B*40:37', 'B*40:38', 'B*40:39', 'B*40:40', 'B*40:42', 'B*40:43', 'B*40:44', 'B*40:45', - 'B*40:46', 'B*40:47', 'B*40:48', 'B*40:49', 'B*40:50', 'B*40:51', 'B*40:52', 'B*40:53', 'B*40:54', 'B*40:55', - 'B*40:56', 'B*40:57', 'B*40:58', 'B*40:59', 'B*40:60', 'B*40:61', 'B*40:62', 'B*40:63', 'B*40:64', 'B*40:65', - 'B*40:66', 'B*40:67', 'B*40:68', 'B*40:69', 'B*40:70', 'B*40:71', 'B*40:72', 'B*40:73', 'B*40:74', 'B*40:75', - 'B*40:76', 'B*40:77', 'B*40:78', 'B*40:79', 'B*40:80', 'B*40:81', 'B*40:82', 'B*40:83', 'B*40:84', 'B*40:85', - 'B*40:86', 'B*40:87', 'B*40:88', 'B*40:89', 'B*40:90', 'B*40:91', 'B*40:92', 'B*40:93', 'B*40:94', 'B*40:95', - 'B*40:96', 'B*40:97', 'B*40:98', 'B*40:99', 'B*40:100', 'B*40:101', 'B*40:102', 'B*40:103', 'B*40:104', - 'B*40:105', 'B*40:106', 'B*40:107', 'B*40:108', 'B*40:109', 'B*40:110', 'B*40:111', 'B*40:112', 'B*40:113', - 'B*40:114', 'B*40:115', 'B*40:116', 'B*40:117', 'B*40:119', 'B*40:120', 'B*40:121', 'B*40:122', 'B*40:123', - 'B*40:124', 'B*40:125', 'B*40:126', 'B*40:127', 'B*40:128', 'B*40:129', 'B*40:130', 'B*40:131', 'B*40:132', - 'B*40:134', 'B*40:135', 'B*40:136', 'B*40:137', 'B*40:138', 'B*40:139', 'B*40:140', 'B*40:141', 'B*40:143', - 'B*40:145', 'B*40:146', 'B*40:147', 'B*41:01', 'B*41:02', 'B*41:03', 'B*41:04', 'B*41:05', 'B*41:06', 'B*41:07', - 'B*41:08', 'B*41:09', 'B*41:10', 'B*41:11', 'B*41:12', 'B*42:01', 'B*42:02', 'B*42:04', 'B*42:05', 'B*42:06', - 'B*42:07', 'B*42:08', 'B*42:09', 'B*42:10', 'B*42:11', 'B*42:12', 'B*42:13', 'B*42:14', 'B*44:02', 'B*44:03', - 'B*44:04', 'B*44:05', 'B*44:06', 'B*44:07', 'B*44:08', 'B*44:09', 'B*44:10', 'B*44:11', 'B*44:12', 'B*44:13', - 'B*44:14', 'B*44:15', 'B*44:16', 'B*44:17', 'B*44:18', 'B*44:20', 'B*44:21', 'B*44:22', 'B*44:24', 'B*44:25', - 'B*44:26', 'B*44:27', 'B*44:28', 'B*44:29', 'B*44:30', 'B*44:31', 'B*44:32', 'B*44:33', 'B*44:34', 'B*44:35', - 'B*44:36', 'B*44:37', 'B*44:38', 'B*44:39', 'B*44:40', 'B*44:41', 'B*44:42', 'B*44:43', 'B*44:44', 'B*44:45', - 'B*44:46', 'B*44:47', 'B*44:48', 'B*44:49', 'B*44:50', 'B*44:51', 'B*44:53', 'B*44:54', 'B*44:55', 'B*44:57', - 'B*44:59', 'B*44:60', 'B*44:62', 'B*44:63', 'B*44:64', 'B*44:65', 'B*44:66', 'B*44:67', 'B*44:68', 'B*44:69', - 'B*44:70', 'B*44:71', 'B*44:72', 'B*44:73', 'B*44:74', 'B*44:75', 'B*44:76', 'B*44:77', 'B*44:78', 'B*44:79', - 'B*44:80', 'B*44:81', 'B*44:82', 'B*44:83', 'B*44:84', 'B*44:85', 'B*44:86', 'B*44:87', 'B*44:88', 'B*44:89', - 'B*44:90', 'B*44:91', 'B*44:92', 'B*44:93', 'B*44:94', 'B*44:95', 'B*44:96', 'B*44:97', 'B*44:98', 'B*44:99', - 'B*44:100', 'B*44:101', 'B*44:102', 'B*44:103', 'B*44:104', 'B*44:105', 'B*44:106', 'B*44:107', 'B*44:109', - 'B*44:110', 'B*45:01', 'B*45:02', 'B*45:03', 'B*45:04', 'B*45:05', 'B*45:06', 'B*45:07', 'B*45:08', 'B*45:09', - 'B*45:10', 'B*45:11', 'B*45:12', 'B*46:01', 'B*46:02', 'B*46:03', 'B*46:04', 'B*46:05', 'B*46:06', 'B*46:08', - 'B*46:09', 'B*46:10', 'B*46:11', 'B*46:12', 'B*46:13', 'B*46:14', 'B*46:16', 'B*46:17', 'B*46:18', 'B*46:19', - 'B*46:20', 'B*46:21', 'B*46:22', 'B*46:23', 'B*46:24', 'B*47:01', 'B*47:02', 'B*47:03', 'B*47:04', 'B*47:05', - 'B*47:06', 'B*47:07', 'B*48:01', 'B*48:02', 'B*48:03', 'B*48:04', 'B*48:05', 'B*48:06', 'B*48:07', 'B*48:08', - 'B*48:09', 'B*48:10', 'B*48:11', 'B*48:12', 'B*48:13', 'B*48:14', 'B*48:15', 'B*48:16', 'B*48:17', 'B*48:18', - 'B*48:19', 'B*48:20', 'B*48:21', 'B*48:22', 'B*48:23', 'B*49:01', 'B*49:02', 'B*49:03', 'B*49:04', 'B*49:05', - 'B*49:06', 'B*49:07', 'B*49:08', 'B*49:09', 'B*49:10', 'B*50:01', 'B*50:02', 'B*50:04', 'B*50:05', 'B*50:06', - 'B*50:07', 'B*50:08', 'B*50:09', 'B*51:01', 'B*51:02', 'B*51:03', 'B*51:04', 'B*51:05', 'B*51:06', 'B*51:07', - 'B*51:08', 'B*51:09', 'B*51:12', 'B*51:13', 'B*51:14', 'B*51:15', 'B*51:16', 'B*51:17', 'B*51:18', 'B*51:19', - 'B*51:20', 'B*51:21', 'B*51:22', 'B*51:23', 'B*51:24', 'B*51:26', 'B*51:28', 'B*51:29', 'B*51:30', 'B*51:31', - 'B*51:32', 'B*51:33', 'B*51:34', 'B*51:35', 'B*51:36', 'B*51:37', 'B*51:38', 'B*51:39', 'B*51:40', 'B*51:42', - 'B*51:43', 'B*51:45', 'B*51:46', 'B*51:48', 'B*51:49', 'B*51:50', 'B*51:51', 'B*51:52', 'B*51:53', 'B*51:54', - 'B*51:55', 'B*51:56', 'B*51:57', 'B*51:58', 'B*51:59', 'B*51:60', 'B*51:61', 'B*51:62', 'B*51:63', 'B*51:64', - 'B*51:65', 'B*51:66', 'B*51:67', 'B*51:68', 'B*51:69', 'B*51:70', 'B*51:71', 'B*51:72', 'B*51:73', 'B*51:74', - 'B*51:75', 'B*51:76', 'B*51:77', 'B*51:78', 'B*51:79', 'B*51:80', 'B*51:81', 'B*51:82', 'B*51:83', 'B*51:84', - 'B*51:85', 'B*51:86', 'B*51:87', 'B*51:88', 'B*51:89', 'B*51:90', 'B*51:91', 'B*51:92', 'B*51:93', 'B*51:94', - 'B*51:95', 'B*51:96', 'B*52:01', 'B*52:02', 'B*52:03', 'B*52:04', 'B*52:05', 'B*52:06', 'B*52:07', 'B*52:08', - 'B*52:09', 'B*52:10', 'B*52:11', 'B*52:12', 'B*52:13', 'B*52:14', 'B*52:15', 'B*52:16', 'B*52:17', 'B*52:18', - 'B*52:19', 'B*52:20', 'B*52:21', 'B*53:01', 'B*53:02', 'B*53:03', 'B*53:04', 'B*53:05', 'B*53:06', 'B*53:07', - 'B*53:08', 'B*53:09', 'B*53:10', 'B*53:11', 'B*53:12', 'B*53:13', 'B*53:14', 'B*53:15', 'B*53:16', 'B*53:17', - 'B*53:18', 'B*53:19', 'B*53:20', 'B*53:21', 'B*53:22', 'B*53:23', 'B*54:01', 'B*54:02', 'B*54:03', 'B*54:04', - 'B*54:06', 'B*54:07', 'B*54:09', 'B*54:10', 'B*54:11', 'B*54:12', 'B*54:13', 'B*54:14', 'B*54:15', 'B*54:16', - 'B*54:17', 'B*54:18', 'B*54:19', 'B*54:20', 'B*54:21', 'B*54:22', 'B*54:23', 'B*55:01', 'B*55:02', 'B*55:03', - 'B*55:04', 'B*55:05', 'B*55:07', 'B*55:08', 'B*55:09', 'B*55:10', 'B*55:11', 'B*55:12', 'B*55:13', 'B*55:14', - 'B*55:15', 'B*55:16', 'B*55:17', 'B*55:18', 'B*55:19', 'B*55:20', 'B*55:21', 'B*55:22', 'B*55:23', 'B*55:24', - 'B*55:25', 'B*55:26', 'B*55:27', 'B*55:28', 'B*55:29', 'B*55:30', 'B*55:31', 'B*55:32', 'B*55:33', 'B*55:34', - 'B*55:35', 'B*55:36', 'B*55:37', 'B*55:38', 'B*55:39', 'B*55:40', 'B*55:41', 'B*55:42', 'B*55:43', 'B*56:01', - 'B*56:02', 'B*56:03', 'B*56:04', 'B*56:05', 'B*56:06', 'B*56:07', 'B*56:08', 'B*56:09', 'B*56:10', 'B*56:11', - 'B*56:12', 'B*56:13', 'B*56:14', 'B*56:15', 'B*56:16', 'B*56:17', 'B*56:18', 'B*56:20', 'B*56:21', 'B*56:22', - 'B*56:23', 'B*56:24', 'B*56:25', 'B*56:26', 'B*56:27', 'B*56:29', 'B*57:01', 'B*57:02', 'B*57:03', 'B*57:04', - 'B*57:05', 'B*57:06', 'B*57:07', 'B*57:08', 'B*57:09', 'B*57:10', 'B*57:11', 'B*57:12', 'B*57:13', 'B*57:14', - 'B*57:15', 'B*57:16', 'B*57:17', 'B*57:18', 'B*57:19', 'B*57:20', 'B*57:21', 'B*57:22', 'B*57:23', 'B*57:24', - 'B*57:25', 'B*57:26', 'B*57:27', 'B*57:29', 'B*57:30', 'B*57:31', 'B*57:32', 'B*58:01', 'B*58:02', 'B*58:04', - 'B*58:05', 'B*58:06', 'B*58:07', 'B*58:08', 'B*58:09', 'B*58:11', 'B*58:12', 'B*58:13', 'B*58:14', 'B*58:15', - 'B*58:16', 'B*58:18', 'B*58:19', 'B*58:20', 'B*58:21', 'B*58:22', 'B*58:23', 'B*58:24', 'B*58:25', 'B*58:26', - 'B*58:27', 'B*58:28', 'B*58:29', 'B*58:30', 'B*59:01', 'B*59:02', 'B*59:03', 'B*59:04', 'B*59:05', 'B*67:01', - 'B*67:02', 'B*73:01', 'B*73:02', 'B*78:01', 'B*78:02', 'B*78:03', 'B*78:04', 'B*78:05', 'B*78:06', 'B*78:07', - 'B*81:01', 'B*81:02', 'B*81:03', 'B*81:05', 'B*82:01', 'B*82:02', 'B*82:03', 'B*83:01', 'C*01:02', 'C*01:03', - 'C*01:04', 'C*01:05', 'C*01:06', 'C*01:07', 'C*01:08', 'C*01:09', 'C*01:10', 'C*01:11', 'C*01:12', 'C*01:13', - 'C*01:14', 'C*01:15', 'C*01:16', 'C*01:17', 'C*01:18', 'C*01:19', 'C*01:20', 'C*01:21', 'C*01:22', 'C*01:23', - 'C*01:24', 'C*01:25', 'C*01:26', 'C*01:27', 'C*01:28', 'C*01:29', 'C*01:30', 'C*01:31', 'C*01:32', 'C*01:33', - 'C*01:34', 'C*01:35', 'C*01:36', 'C*01:38', 'C*01:39', 'C*01:40', 'C*02:02', 'C*02:03', 'C*02:04', 'C*02:05', - 'C*02:06', 'C*02:07', 'C*02:08', 'C*02:09', 'C*02:10', 'C*02:11', 'C*02:12', 'C*02:13', 'C*02:14', 'C*02:15', - 'C*02:16', 'C*02:17', 'C*02:18', 'C*02:19', 'C*02:20', 'C*02:21', 'C*02:22', 'C*02:23', 'C*02:24', 'C*02:26', - 'C*02:27', 'C*02:28', 'C*02:29', 'C*02:30', 'C*02:31', 'C*02:32', 'C*02:33', 'C*02:34', 'C*02:35', 'C*02:36', - 'C*02:37', 'C*02:39', 'C*02:40', 'C*03:01', 'C*03:02', 'C*03:03', 'C*03:04', 'C*03:05', 'C*03:06', 'C*03:07', - 'C*03:08', 'C*03:09', 'C*03:10', 'C*03:11', 'C*03:12', 'C*03:13', 'C*03:14', 'C*03:15', 'C*03:16', 'C*03:17', - 'C*03:18', 'C*03:19', 'C*03:21', 'C*03:23', 'C*03:24', 'C*03:25', 'C*03:26', 'C*03:27', 'C*03:28', 'C*03:29', - 'C*03:30', 'C*03:31', 'C*03:32', 'C*03:33', 'C*03:34', 'C*03:35', 'C*03:36', 'C*03:37', 'C*03:38', 'C*03:39', - 'C*03:40', 'C*03:41', 'C*03:42', 'C*03:43', 'C*03:44', 'C*03:45', 'C*03:46', 'C*03:47', 'C*03:48', 'C*03:49', - 'C*03:50', 'C*03:51', 'C*03:52', 'C*03:53', 'C*03:54', 'C*03:55', 'C*03:56', 'C*03:57', 'C*03:58', 'C*03:59', - 'C*03:60', 'C*03:61', 'C*03:62', 'C*03:63', 'C*03:64', 'C*03:65', 'C*03:66', 'C*03:67', 'C*03:68', 'C*03:69', - 'C*03:70', 'C*03:71', 'C*03:72', 'C*03:73', 'C*03:74', 'C*03:75', 'C*03:76', 'C*03:77', 'C*03:78', 'C*03:79', - 'C*03:80', 'C*03:81', 'C*03:82', 'C*03:83', 'C*03:84', 'C*03:85', 'C*03:86', 'C*03:87', 'C*03:88', 'C*03:89', - 'C*03:90', 'C*03:91', 'C*03:92', 'C*03:93', 'C*03:94', 'C*04:01', 'C*04:03', 'C*04:04', 'C*04:05', 'C*04:06', - 'C*04:07', 'C*04:08', 'C*04:10', 'C*04:11', 'C*04:12', 'C*04:13', 'C*04:14', 'C*04:15', 'C*04:16', 'C*04:17', - 'C*04:18', 'C*04:19', 'C*04:20', 'C*04:23', 'C*04:24', 'C*04:25', 'C*04:26', 'C*04:27', 'C*04:28', 'C*04:29', - 'C*04:30', 'C*04:31', 'C*04:32', 'C*04:33', 'C*04:34', 'C*04:35', 'C*04:36', 'C*04:37', 'C*04:38', 'C*04:39', - 'C*04:40', 'C*04:41', 'C*04:42', 'C*04:43', 'C*04:44', 'C*04:45', 'C*04:46', 'C*04:47', 'C*04:48', 'C*04:49', - 'C*04:50', 'C*04:51', 'C*04:52', 'C*04:53', 'C*04:54', 'C*04:55', 'C*04:56', 'C*04:57', 'C*04:58', 'C*04:60', - 'C*04:61', 'C*04:62', 'C*04:63', 'C*04:64', 'C*04:65', 'C*04:66', 'C*04:67', 'C*04:68', 'C*04:69', 'C*04:70', - 'C*05:01', 'C*05:03', 'C*05:04', 'C*05:05', 'C*05:06', 'C*05:08', 'C*05:09', 'C*05:10', 'C*05:11', 'C*05:12', - 'C*05:13', 'C*05:14', 'C*05:15', 'C*05:16', 'C*05:17', 'C*05:18', 'C*05:19', 'C*05:20', 'C*05:21', 'C*05:22', - 'C*05:23', 'C*05:24', 'C*05:25', 'C*05:26', 'C*05:27', 'C*05:28', 'C*05:29', 'C*05:30', 'C*05:31', 'C*05:32', - 'C*05:33', 'C*05:34', 'C*05:35', 'C*05:36', 'C*05:37', 'C*05:38', 'C*05:39', 'C*05:40', 'C*05:41', 'C*05:42', - 'C*05:43', 'C*05:44', 'C*05:45', 'C*06:02', 'C*06:03', 'C*06:04', 'C*06:05', 'C*06:06', 'C*06:07', 'C*06:08', - 'C*06:09', 'C*06:10', 'C*06:11', 'C*06:12', 'C*06:13', 'C*06:14', 'C*06:15', 'C*06:17', 'C*06:18', 'C*06:19', - 'C*06:20', 'C*06:21', 'C*06:22', 'C*06:23', 'C*06:24', 'C*06:25', 'C*06:26', 'C*06:27', 'C*06:28', 'C*06:29', - 'C*06:30', 'C*06:31', 'C*06:32', 'C*06:33', 'C*06:34', 'C*06:35', 'C*06:36', 'C*06:37', 'C*06:38', 'C*06:39', - 'C*06:40', 'C*06:41', 'C*06:42', 'C*06:43', 'C*06:44', 'C*06:45', 'C*07:01', 'C*07:02', 'C*07:03', 'C*07:04', - 'C*07:05', 'C*07:06', 'C*07:07', 'C*07:08', 'C*07:09', 'C*07:10', 'C*07:11', 'C*07:12', 'C*07:13', 'C*07:14', - 'C*07:15', 'C*07:16', 'C*07:17', 'C*07:18', 'C*07:19', 'C*07:20', 'C*07:21', 'C*07:22', 'C*07:23', 'C*07:24', - 'C*07:25', 'C*07:26', 'C*07:27', 'C*07:28', 'C*07:29', 'C*07:30', 'C*07:31', 'C*07:35', 'C*07:36', 'C*07:37', - 'C*07:38', 'C*07:39', 'C*07:40', 'C*07:41', 'C*07:42', 'C*07:43', 'C*07:44', 'C*07:45', 'C*07:46', 'C*07:47', - 'C*07:48', 'C*07:49', 'C*07:50', 'C*07:51', 'C*07:52', 'C*07:53', 'C*07:54', 'C*07:56', 'C*07:57', 'C*07:58', - 'C*07:59', 'C*07:60', 'C*07:62', 'C*07:63', 'C*07:64', 'C*07:65', 'C*07:66', 'C*07:67', 'C*07:68', 'C*07:69', - 'C*07:70', 'C*07:71', 'C*07:72', 'C*07:73', 'C*07:74', 'C*07:75', 'C*07:76', 'C*07:77', 'C*07:78', 'C*07:79', - 'C*07:80', 'C*07:81', 'C*07:82', 'C*07:83', 'C*07:84', 'C*07:85', 'C*07:86', 'C*07:87', 'C*07:88', 'C*07:89', - 'C*07:90', 'C*07:91', 'C*07:92', 'C*07:93', 'C*07:94', 'C*07:95', 'C*07:96', 'C*07:97', 'C*07:99', 'C*07:100', - 'C*07:101', 'C*07:102', 'C*07:103', 'C*07:105', 'C*07:106', 'C*07:107', 'C*07:108', 'C*07:109', 'C*07:110', - 'C*07:111', 'C*07:112', 'C*07:113', 'C*07:114', 'C*07:115', 'C*07:116', 'C*07:117', 'C*07:118', 'C*07:119', - 'C*07:120', 'C*07:122', 'C*07:123', 'C*07:124', 'C*07:125', 'C*07:126', 'C*07:127', 'C*07:128', 'C*07:129', - 'C*07:130', 'C*07:131', 'C*07:132', 'C*07:133', 'C*07:134', 'C*07:135', 'C*07:136', 'C*07:137', 'C*07:138', - 'C*07:139', 'C*07:140', 'C*07:141', 'C*07:142', 'C*07:143', 'C*07:144', 'C*07:145', 'C*07:146', 'C*07:147', - 'C*07:148', 'C*07:149', 'C*08:01', 'C*08:02', 'C*08:03', 'C*08:04', 'C*08:05', 'C*08:06', 'C*08:07', 'C*08:08', - 'C*08:09', 'C*08:10', 'C*08:11', 'C*08:12', 'C*08:13', 'C*08:14', 'C*08:15', 'C*08:16', 'C*08:17', 'C*08:18', - 'C*08:19', 'C*08:20', 'C*08:21', 'C*08:22', 'C*08:23', 'C*08:24', 'C*08:25', 'C*08:27', 'C*08:28', 'C*08:29', - 'C*08:30', 'C*08:31', 'C*08:32', 'C*08:33', 'C*08:34', 'C*08:35', 'C*12:02', 'C*12:03', 'C*12:04', 'C*12:05', - 'C*12:06', 'C*12:07', 'C*12:08', 'C*12:09', 'C*12:10', 'C*12:11', 'C*12:12', 'C*12:13', 'C*12:14', 'C*12:15', - 'C*12:16', 'C*12:17', 'C*12:18', 'C*12:19', 'C*12:20', 'C*12:21', 'C*12:22', 'C*12:23', 'C*12:24', 'C*12:25', - 'C*12:26', 'C*12:27', 'C*12:28', 'C*12:29', 'C*12:30', 'C*12:31', 'C*12:32', 'C*12:33', 'C*12:34', 'C*12:35', - 'C*12:36', 'C*12:37', 'C*12:38', 'C*12:40', 'C*12:41', 'C*12:43', 'C*12:44', 'C*14:02', 'C*14:03', 'C*14:04', - 'C*14:05', 'C*14:06', 'C*14:08', 'C*14:09', 'C*14:10', 'C*14:11', 'C*14:12', 'C*14:13', 'C*14:14', 'C*14:15', - 'C*14:16', 'C*14:17', 'C*14:18', 'C*14:19', 'C*14:20', 'C*15:02', 'C*15:03', 'C*15:04', 'C*15:05', 'C*15:06', - 'C*15:07', 'C*15:08', 'C*15:09', 'C*15:10', 'C*15:11', 'C*15:12', 'C*15:13', 'C*15:15', 'C*15:16', 'C*15:17', - 'C*15:18', 'C*15:19', 'C*15:20', 'C*15:21', 'C*15:22', 'C*15:23', 'C*15:24', 'C*15:25', 'C*15:26', 'C*15:27', - 'C*15:28', 'C*15:29', 'C*15:30', 'C*15:31', 'C*15:33', 'C*15:34', 'C*15:35', 'C*16:01', 'C*16:02', 'C*16:04', - 'C*16:06', 'C*16:07', 'C*16:08', 'C*16:09', 'C*16:10', 'C*16:11', 'C*16:12', 'C*16:13', 'C*16:14', 'C*16:15', - 'C*16:17', 'C*16:18', 'C*16:19', 'C*16:20', 'C*16:21', 'C*16:22', 'C*16:23', 'C*16:24', 'C*16:25', 'C*16:26', - 'C*17:01', 'C*17:02', 'C*17:03', 'C*17:04', 'C*17:05', 'C*17:06', 'C*17:07', 'C*18:01', 'C*18:02', 'C*18:03', - 'G*01:01', 'G*01:02', 'G*01:03', 'G*01:04', 'G*01:06', 'G*01:07', 'G*01:08', 'G*01:09', 'E*01:01']) - __version = "1.1" - - @property - def version(self): - return self.__version - - @property - def command(self): - return self.__command - - @property - def supportedLength(self): - return self.__supported_length - - @property - def supportedAlleles(self): - return self.__supported_alleles - - @property - def name(self): - return self.__name - -
[docs] def convert_alleles(self, alleles): - return ["HLA-%s%s:%s"%(a.locus, a.supertype, a.subtype) for a in alleles] -
-
[docs] def parse_external_result(self, _file): - result = defaultdict(defaultdict) - with open(_file, "r") as f: - for row in f: - if row[0] in ["#", "-"] or row.strip() == "" or "pos" in row: - continue - else: - s = row.split() - result[s[1].replace("*", "")][s[2]] = float(s[4]) - return result -
-
[docs] def get_external_version(self, path=None): - #Undertermined pickpocket does not support --version or something similar - return None -
-
[docs] def prepare_peptide_input(self, _peptides, _file): - _file.write("\n".join(_peptides)) - -
-
[docs]class NetCTLpan_1_1(AExternalEpitopePrediction, AExternal): - """ - Interface for NetCTLpan 1.1 - - NetCTLpan - Pan-specific MHC class I epitope predictions - Stranzl T., Larsen M. V., Lundegaard C., Nielsen M. - Immunogenetics. 2010 Apr 9. [Epub ahead of print] - """ - __name = "netctlpan" - __command = "netctlpan -f {peptides} -a {alleles} {options} > {out}" - __supported_length = frozenset([8, 9, 10, 11]) - __alleles = frozenset(['A*01:01', 'A*01:02', 'A*01:03', 'A*01:06', 'A*01:07', 'A*01:08', 'A*01:09', 'A*01:10', 'A*01:12', - 'A*01:13', 'A*01:14', 'A*01:17', 'A*01:19', 'A*01:20', 'A*01:21', 'A*01:23', 'A*01:24', 'A*01:25', - 'A*01:26', 'A*01:28', 'A*01:29', 'A*01:30', 'A*01:32', 'A*01:33', 'A*01:35', 'A*01:36', 'A*01:37', - 'A*01:38', 'A*01:39', 'A*01:40', 'A*01:41', 'A*01:42', 'A*01:43', 'A*01:44', 'A*01:45', 'A*01:46', - 'A*01:47', 'A*01:48', 'A*01:49', 'A*01:50', 'A*01:51', 'A*01:54', 'A*01:55', 'A*01:58', 'A*01:59', - 'A*01:60', 'A*01:61', 'A*01:62', 'A*01:63', 'A*01:64', 'A*01:65', 'A*01:66', 'A*02:01', 'A*02:02', - 'A*02:03', 'A*02:04', 'A*02:05', 'A*02:06', 'A*02:07', 'A*02:08', 'A*02:09', 'A*02:10', 'A*02:101', - 'A*02:102', 'A*02:103', 'A*02:104', 'A*02:105', 'A*02:106', 'A*02:107', 'A*02:108', 'A*02:109', - 'A*02:11', 'A*02:110', 'A*02:111', 'A*02:112', 'A*02:114', 'A*02:115', 'A*02:116', 'A*02:117', - 'A*02:118', 'A*02:119', 'A*02:12', 'A*02:120', 'A*02:121', 'A*02:122', 'A*02:123', 'A*02:124', - 'A*02:126', 'A*02:127', 'A*02:128', 'A*02:129', 'A*02:13', 'A*02:130', 'A*02:131', 'A*02:132', - 'A*02:133', 'A*02:134', 'A*02:135', 'A*02:136', 'A*02:137', 'A*02:138', 'A*02:139', 'A*02:14', - 'A*02:140', 'A*02:141', 'A*02:142', 'A*02:143', 'A*02:144', 'A*02:145', 'A*02:146', 'A*02:147', - 'A*02:148', 'A*02:149', 'A*02:150', 'A*02:151', 'A*02:152', 'A*02:153', 'A*02:154', 'A*02:155', - 'A*02:156', 'A*02:157', 'A*02:158', 'A*02:159', 'A*02:16', 'A*02:160', 'A*02:161', 'A*02:162', - 'A*02:163', 'A*02:164', 'A*02:165', 'A*02:166', 'A*02:167', 'A*02:168', 'A*02:169', 'A*02:17', - 'A*02:170', 'A*02:171', 'A*02:172', 'A*02:173', 'A*02:174', 'A*02:175', 'A*02:176', 'A*02:177', - 'A*02:178', 'A*02:179', 'A*02:18', 'A*02:180', 'A*02:181', 'A*02:182', 'A*02:183', 'A*02:184', - 'A*02:185', 'A*02:186', 'A*02:187', 'A*02:188', 'A*02:189', 'A*02:19', 'A*02:190', 'A*02:191', - 'A*02:192', 'A*02:193', 'A*02:194', 'A*02:195', 'A*02:196', 'A*02:197', 'A*02:198', 'A*02:199', - 'A*02:20', 'A*02:200', 'A*02:201', 'A*02:202', 'A*02:203', 'A*02:204', 'A*02:205', 'A*02:206', - 'A*02:207', 'A*02:208', 'A*02:209', 'A*02:21', 'A*02:210', 'A*02:211', 'A*02:212', 'A*02:213', - 'A*02:214', 'A*02:215', 'A*02:216', 'A*02:217', 'A*02:218', 'A*02:219', 'A*02:22', 'A*02:220', - 'A*02:221', 'A*02:224', 'A*02:228', 'A*02:229', 'A*02:230', 'A*02:231', 'A*02:232', 'A*02:233', - 'A*02:234', 'A*02:235', 'A*02:236', 'A*02:237', 'A*02:238', 'A*02:239', 'A*02:24', 'A*02:240', - 'A*02:241', 'A*02:242', 'A*02:243', 'A*02:244', 'A*02:245', 'A*02:246', 'A*02:247', 'A*02:248', - 'A*02:249', 'A*02:25', 'A*02:251', 'A*02:252', 'A*02:253', 'A*02:254', 'A*02:255', 'A*02:256', - 'A*02:257', 'A*02:258', 'A*02:259', 'A*02:26', 'A*02:260', 'A*02:261', 'A*02:262', 'A*02:263', - 'A*02:264', 'A*02:265', 'A*02:266', 'A*02:27', 'A*02:28', 'A*02:29', 'A*02:30', 'A*02:31', 'A*02:33', - 'A*02:34', 'A*02:35', 'A*02:36', 'A*02:37', 'A*02:38', 'A*02:39', 'A*02:40', 'A*02:41', 'A*02:42', - 'A*02:44', 'A*02:45', 'A*02:46', 'A*02:47', 'A*02:48', 'A*02:49', 'A*02:50', 'A*02:51', 'A*02:52', - 'A*02:54', 'A*02:55', 'A*02:56', 'A*02:57', 'A*02:58', 'A*02:59', 'A*02:60', 'A*02:61', 'A*02:62', - 'A*02:63', 'A*02:64', 'A*02:65', 'A*02:66', 'A*02:67', 'A*02:68', 'A*02:69', 'A*02:70', 'A*02:71', - 'A*02:72', 'A*02:73', 'A*02:74', 'A*02:75', 'A*02:76', 'A*02:77', 'A*02:78', 'A*02:79', 'A*02:80', - 'A*02:81', 'A*02:84', 'A*02:85', 'A*02:86', 'A*02:87', 'A*02:89', 'A*02:90', 'A*02:91', 'A*02:92', - 'A*02:93', 'A*02:95', 'A*02:96', 'A*02:97', 'A*02:99', 'A*03:01', 'A*03:02', 'A*03:04', 'A*03:05', - 'A*03:06', 'A*03:07', 'A*03:08', 'A*03:09', 'A*03:10', 'A*03:12', 'A*03:13', 'A*03:14', 'A*03:15', - 'A*03:16', 'A*03:17', 'A*03:18', 'A*03:19', 'A*03:20', 'A*03:22', 'A*03:23', 'A*03:24', 'A*03:25', - 'A*03:26', 'A*03:27', 'A*03:28', 'A*03:29', 'A*03:30', 'A*03:31', 'A*03:32', 'A*03:33', 'A*03:34', - 'A*03:35', 'A*03:37', 'A*03:38', 'A*03:39', 'A*03:40', 'A*03:41', 'A*03:42', 'A*03:43', 'A*03:44', - 'A*03:45', 'A*03:46', 'A*03:47', 'A*03:48', 'A*03:49', 'A*03:50', 'A*03:51', 'A*03:52', 'A*03:53', - 'A*03:54', 'A*03:55', 'A*03:56', 'A*03:57', 'A*03:58', 'A*03:59', 'A*03:60', 'A*03:61', 'A*03:62', - 'A*03:63', 'A*03:64', 'A*03:65', 'A*03:66', 'A*03:67', 'A*03:70', 'A*03:71', 'A*03:72', 'A*03:73', - 'A*03:74', 'A*03:75', 'A*03:76', 'A*03:77', 'A*03:78', 'A*03:79', 'A*03:80', 'A*03:81', 'A*03:82', - 'A*11:01', 'A*11:02', 'A*11:03', 'A*11:04', 'A*11:05', 'A*11:06', 'A*11:07', 'A*11:08', 'A*11:09', - 'A*11:10', 'A*11:11', 'A*11:12', 'A*11:13', 'A*11:14', 'A*11:15', 'A*11:16', 'A*11:17', 'A*11:18', - 'A*11:19', 'A*11:20', 'A*11:22', 'A*11:23', 'A*11:24', 'A*11:25', 'A*11:26', 'A*11:27', 'A*11:29', - 'A*11:30', 'A*11:31', 'A*11:32', 'A*11:33', 'A*11:34', 'A*11:35', 'A*11:36', 'A*11:37', 'A*11:38', - 'A*11:39', 'A*11:40', 'A*11:41', 'A*11:42', 'A*11:43', 'A*11:44', 'A*11:45', 'A*11:46', 'A*11:47', - 'A*11:48', 'A*11:49', 'A*11:51', 'A*11:53', 'A*11:54', 'A*11:55', 'A*11:56', 'A*11:57', 'A*11:58', - 'A*11:59', 'A*11:60', 'A*11:61', 'A*11:62', 'A*11:63', 'A*11:64', 'A*23:01', 'A*23:02', 'A*23:03', - 'A*23:04', 'A*23:05', 'A*23:06', 'A*23:09', 'A*23:10', 'A*23:12', 'A*23:13', 'A*23:14', 'A*23:15', - 'A*23:16', 'A*23:17', 'A*23:18', 'A*23:20', 'A*23:21', 'A*23:22', 'A*23:23', 'A*23:24', 'A*23:25', - 'A*23:26', 'A*24:02', 'A*24:03', 'A*24:04', 'A*24:05', 'A*24:06', 'A*24:07', 'A*24:08', 'A*24:10', - 'A*24:100', 'A*24:101', 'A*24:102', 'A*24:103', 'A*24:104', 'A*24:105', 'A*24:106', 'A*24:107', - 'A*24:108', 'A*24:109', 'A*24:110', 'A*24:111', 'A*24:112', 'A*24:113', 'A*24:114', 'A*24:115', - 'A*24:116', 'A*24:117', 'A*24:118', 'A*24:119', 'A*24:120', 'A*24:121', 'A*24:122', 'A*24:123', - 'A*24:124', 'A*24:125', 'A*24:126', 'A*24:127', 'A*24:128', 'A*24:129', 'A*24:13', 'A*24:130', - 'A*24:131', 'A*24:133', 'A*24:134', 'A*24:135', 'A*24:136', 'A*24:137', 'A*24:138', 'A*24:139', - 'A*24:14', 'A*24:140', 'A*24:141', 'A*24:142', 'A*24:143', 'A*24:144', 'A*24:15', 'A*24:17', 'A*24:18', - 'A*24:19', 'A*24:20', 'A*24:21', 'A*24:22', 'A*24:23', 'A*24:24', 'A*24:25', 'A*24:26', 'A*24:27', - 'A*24:28', 'A*24:29', 'A*24:30', 'A*24:31', 'A*24:32', 'A*24:33', 'A*24:34', 'A*24:35', 'A*24:37', - 'A*24:38', 'A*24:39', 'A*24:41', 'A*24:42', 'A*24:43', 'A*24:44', 'A*24:46', 'A*24:47', 'A*24:49', - 'A*24:50', 'A*24:51', 'A*24:52', 'A*24:53', 'A*24:54', 'A*24:55', 'A*24:56', 'A*24:57', 'A*24:58', - 'A*24:59', 'A*24:61', 'A*24:62', 'A*24:63', 'A*24:64', 'A*24:66', 'A*24:67', 'A*24:68', 'A*24:69', - 'A*24:70', 'A*24:71', 'A*24:72', 'A*24:73', 'A*24:74', 'A*24:75', 'A*24:76', 'A*24:77', 'A*24:78', - 'A*24:79', 'A*24:80', 'A*24:81', 'A*24:82', 'A*24:85', 'A*24:87', 'A*24:88', 'A*24:89', 'A*24:91', - 'A*24:92', 'A*24:93', 'A*24:94', 'A*24:95', 'A*24:96', 'A*24:97', 'A*24:98', 'A*24:99', 'A*25:01', - 'A*25:02', 'A*25:03', 'A*25:04', 'A*25:05', 'A*25:06', 'A*25:07', 'A*25:08', 'A*25:09', 'A*25:10', - 'A*25:11', 'A*25:13', 'A*26:01', 'A*26:02', 'A*26:03', 'A*26:04', 'A*26:05', 'A*26:06', 'A*26:07', - 'A*26:08', 'A*26:09', 'A*26:10', 'A*26:12', 'A*26:13', 'A*26:14', 'A*26:15', 'A*26:16', 'A*26:17', - 'A*26:18', 'A*26:19', 'A*26:20', 'A*26:21', 'A*26:22', 'A*26:23', 'A*26:24', 'A*26:26', 'A*26:27', - 'A*26:28', 'A*26:29', 'A*26:30', 'A*26:31', 'A*26:32', 'A*26:33', 'A*26:34', 'A*26:35', 'A*26:36', - 'A*26:37', 'A*26:38', 'A*26:39', 'A*26:40', 'A*26:41', 'A*26:42', 'A*26:43', 'A*26:45', 'A*26:46', - 'A*26:47', 'A*26:48', 'A*26:49', 'A*26:50', 'A*29:01', 'A*29:02', 'A*29:03', 'A*29:04', 'A*29:05', - 'A*29:06', 'A*29:07', 'A*29:09', 'A*29:10', 'A*29:11', 'A*29:12', 'A*29:13', 'A*29:14', 'A*29:15', - 'A*29:16', 'A*29:17', 'A*29:18', 'A*29:19', 'A*29:20', 'A*29:21', 'A*29:22', 'A*30:01', 'A*30:02', - 'A*30:03', 'A*30:04', 'A*30:06', 'A*30:07', 'A*30:08', 'A*30:09', 'A*30:10', 'A*30:11', 'A*30:12', - 'A*30:13', 'A*30:15', 'A*30:16', 'A*30:17', 'A*30:18', 'A*30:19', 'A*30:20', 'A*30:22', 'A*30:23', - 'A*30:24', 'A*30:25', 'A*30:26', 'A*30:28', 'A*30:29', 'A*30:30', 'A*30:31', 'A*30:32', 'A*30:33', - 'A*30:34', 'A*30:35', 'A*30:36', 'A*30:37', 'A*30:38', 'A*30:39', 'A*30:40', 'A*30:41', 'A*31:01', - 'A*31:02', 'A*31:03', 'A*31:04', 'A*31:05', 'A*31:06', 'A*31:07', 'A*31:08', 'A*31:09', 'A*31:10', - 'A*31:11', 'A*31:12', 'A*31:13', 'A*31:15', 'A*31:16', 'A*31:17', 'A*31:18', 'A*31:19', 'A*31:20', - 'A*31:21', 'A*31:22', 'A*31:23', 'A*31:24', 'A*31:25', 'A*31:26', 'A*31:27', 'A*31:28', 'A*31:29', - 'A*31:30', 'A*31:31', 'A*31:32', 'A*31:33', 'A*31:34', 'A*31:35', 'A*31:36', 'A*31:37', 'A*32:01', - 'A*32:02', 'A*32:03', 'A*32:04', 'A*32:05', 'A*32:06', 'A*32:07', 'A*32:08', 'A*32:09', 'A*32:10', - 'A*32:12', 'A*32:13', 'A*32:14', 'A*32:15', 'A*32:16', 'A*32:17', 'A*32:18', 'A*32:20', 'A*32:21', - 'A*32:22', 'A*32:23', 'A*32:24', 'A*32:25', 'A*33:01', 'A*33:03', 'A*33:04', 'A*33:05', 'A*33:06', - 'A*33:07', 'A*33:08', 'A*33:09', 'A*33:10', 'A*33:11', 'A*33:12', 'A*33:13', 'A*33:14', 'A*33:15', - 'A*33:16', 'A*33:17', 'A*33:18', 'A*33:19', 'A*33:20', 'A*33:21', 'A*33:22', 'A*33:23', 'A*33:24', - 'A*33:25', 'A*33:26', 'A*33:27', 'A*33:28', 'A*33:29', 'A*33:30', 'A*33:31', 'A*34:01', 'A*34:02', - 'A*34:03', 'A*34:04', 'A*34:05', 'A*34:06', 'A*34:07', 'A*34:08', 'A*36:01', 'A*36:02', 'A*36:03', - 'A*36:04', 'A*36:05', 'A*43:01', 'A*66:01', 'A*66:02', 'A*66:03', 'A*66:04', 'A*66:05', 'A*66:06', - 'A*66:07', 'A*66:08', 'A*66:09', 'A*66:10', 'A*66:11', 'A*66:12', 'A*66:13', 'A*66:14', 'A*66:15', - 'A*68:01', 'A*68:02', 'A*68:03', 'A*68:04', 'A*68:05', 'A*68:06', 'A*68:07', 'A*68:08', 'A*68:09', - 'A*68:10', 'A*68:12', 'A*68:13', 'A*68:14', 'A*68:15', 'A*68:16', 'A*68:17', 'A*68:19', 'A*68:20', - 'A*68:21', 'A*68:22', 'A*68:23', 'A*68:24', 'A*68:25', 'A*68:26', 'A*68:27', 'A*68:28', 'A*68:29', - 'A*68:30', 'A*68:31', 'A*68:32', 'A*68:33', 'A*68:34', 'A*68:35', 'A*68:36', 'A*68:37', 'A*68:38', - 'A*68:39', 'A*68:40', 'A*68:41', 'A*68:42', 'A*68:43', 'A*68:44', 'A*68:45', 'A*68:46', 'A*68:47', - 'A*68:48', 'A*68:50', 'A*68:51', 'A*68:52', 'A*68:53', 'A*68:54', 'A*69:01', 'A*74:01', 'A*74:02', - 'A*74:03', 'A*74:04', 'A*74:05', 'A*74:06', 'A*74:07', 'A*74:08', 'A*74:09', 'A*74:10', 'A*74:11', - 'A*74:13', 'A*80:01', 'A*80:02', 'B*07:02', 'B*07:03', 'B*07:04', 'B*07:05', 'B*07:06', 'B*07:07', - 'B*07:08', 'B*07:09', 'B*07:10', 'B*07:100', 'B*07:101', 'B*07:102', 'B*07:103', 'B*07:104', - 'B*07:105', 'B*07:106', 'B*07:107', 'B*07:108', 'B*07:109', 'B*07:11', 'B*07:110', 'B*07:112', - 'B*07:113', 'B*07:114', 'B*07:115', 'B*07:12', 'B*07:13', 'B*07:14', 'B*07:15', 'B*07:16', 'B*07:17', - 'B*07:18', 'B*07:19', 'B*07:20', 'B*07:21', 'B*07:22', 'B*07:23', 'B*07:24', 'B*07:25', 'B*07:26', - 'B*07:27', 'B*07:28', 'B*07:29', 'B*07:30', 'B*07:31', 'B*07:32', 'B*07:33', 'B*07:34', 'B*07:35', - 'B*07:36', 'B*07:37', 'B*07:38', 'B*07:39', 'B*07:40', 'B*07:41', 'B*07:42', 'B*07:43', 'B*07:44', - 'B*07:45', 'B*07:46', 'B*07:47', 'B*07:48', 'B*07:50', 'B*07:51', 'B*07:52', 'B*07:53', 'B*07:54', - 'B*07:55', 'B*07:56', 'B*07:57', 'B*07:58', 'B*07:59', 'B*07:60', 'B*07:61', 'B*07:62', 'B*07:63', - 'B*07:64', 'B*07:65', 'B*07:66', 'B*07:68', 'B*07:69', 'B*07:70', 'B*07:71', 'B*07:72', 'B*07:73', - 'B*07:74', 'B*07:75', 'B*07:76', 'B*07:77', 'B*07:78', 'B*07:79', 'B*07:80', 'B*07:81', 'B*07:82', - 'B*07:83', 'B*07:84', 'B*07:85', 'B*07:86', 'B*07:87', 'B*07:88', 'B*07:89', 'B*07:90', 'B*07:91', - 'B*07:92', 'B*07:93', 'B*07:94', 'B*07:95', 'B*07:96', 'B*07:97', 'B*07:98', 'B*07:99', 'B*08:01', - 'B*08:02', 'B*08:03', 'B*08:04', 'B*08:05', 'B*08:07', 'B*08:09', 'B*08:10', 'B*08:11', 'B*08:12', - 'B*08:13', 'B*08:14', 'B*08:15', 'B*08:16', 'B*08:17', 'B*08:18', 'B*08:20', 'B*08:21', 'B*08:22', - 'B*08:23', 'B*08:24', 'B*08:25', 'B*08:26', 'B*08:27', 'B*08:28', 'B*08:29', 'B*08:31', 'B*08:32', - 'B*08:33', 'B*08:34', 'B*08:35', 'B*08:36', 'B*08:37', 'B*08:38', 'B*08:39', 'B*08:40', 'B*08:41', - 'B*08:42', 'B*08:43', 'B*08:44', 'B*08:45', 'B*08:46', 'B*08:47', 'B*08:48', 'B*08:49', 'B*08:50', - 'B*08:51', 'B*08:52', 'B*08:53', 'B*08:54', 'B*08:55', 'B*08:56', 'B*08:57', 'B*08:58', 'B*08:59', - 'B*08:60', 'B*08:61', 'B*08:62', 'B*13:01', 'B*13:02', 'B*13:03', 'B*13:04', 'B*13:06', 'B*13:09', - 'B*13:10', 'B*13:11', 'B*13:12', 'B*13:13', 'B*13:14', 'B*13:15', 'B*13:16', 'B*13:17', 'B*13:18', - 'B*13:19', 'B*13:20', 'B*13:21', 'B*13:22', 'B*13:23', 'B*13:25', 'B*13:26', 'B*13:27', 'B*13:28', - 'B*13:29', 'B*13:30', 'B*13:31', 'B*13:32', 'B*13:33', 'B*13:34', 'B*13:35', 'B*13:36', 'B*13:37', - 'B*13:38', 'B*13:39', 'B*14:01', 'B*14:02', 'B*14:03', 'B*14:04', 'B*14:05', 'B*14:06', 'B*14:08', - 'B*14:09', 'B*14:10', 'B*14:11', 'B*14:12', 'B*14:13', 'B*14:14', 'B*14:15', 'B*14:16', 'B*14:17', - 'B*14:18', 'B*15:01', 'B*15:02', 'B*15:03', 'B*15:04', 'B*15:05', 'B*15:06', 'B*15:07', 'B*15:08', - 'B*15:09', 'B*15:10', 'B*15:101', 'B*15:102', 'B*15:103', 'B*15:104', 'B*15:105', 'B*15:106', - 'B*15:107', 'B*15:108', 'B*15:109', 'B*15:11', 'B*15:110', 'B*15:112', 'B*15:113', 'B*15:114', - 'B*15:115', 'B*15:116', 'B*15:117', 'B*15:118', 'B*15:119', 'B*15:12', 'B*15:120', 'B*15:121', - 'B*15:122', 'B*15:123', 'B*15:124', 'B*15:125', 'B*15:126', 'B*15:127', 'B*15:128', 'B*15:129', - 'B*15:13', 'B*15:131', 'B*15:132', 'B*15:133', 'B*15:134', 'B*15:135', 'B*15:136', 'B*15:137', - 'B*15:138', 'B*15:139', 'B*15:14', 'B*15:140', 'B*15:141', 'B*15:142', 'B*15:143', 'B*15:144', - 'B*15:145', 'B*15:146', 'B*15:147', 'B*15:148', 'B*15:15', 'B*15:150', 'B*15:151', 'B*15:152', - 'B*15:153', 'B*15:154', 'B*15:155', 'B*15:156', 'B*15:157', 'B*15:158', 'B*15:159', 'B*15:16', - 'B*15:160', 'B*15:161', 'B*15:162', 'B*15:163', 'B*15:164', 'B*15:165', 'B*15:166', 'B*15:167', - 'B*15:168', 'B*15:169', 'B*15:17', 'B*15:170', 'B*15:171', 'B*15:172', 'B*15:173', 'B*15:174', - 'B*15:175', 'B*15:176', 'B*15:177', 'B*15:178', 'B*15:179', 'B*15:18', 'B*15:180', 'B*15:183', - 'B*15:184', 'B*15:185', 'B*15:186', 'B*15:187', 'B*15:188', 'B*15:189', 'B*15:19', 'B*15:191', - 'B*15:192', 'B*15:193', 'B*15:194', 'B*15:195', 'B*15:196', 'B*15:197', 'B*15:198', 'B*15:199', - 'B*15:20', 'B*15:200', 'B*15:201', 'B*15:202', 'B*15:21', 'B*15:23', 'B*15:24', 'B*15:25', 'B*15:27', - 'B*15:28', 'B*15:29', 'B*15:30', 'B*15:31', 'B*15:32', 'B*15:33', 'B*15:34', 'B*15:35', 'B*15:36', - 'B*15:37', 'B*15:38', 'B*15:39', 'B*15:40', 'B*15:42', 'B*15:43', 'B*15:44', 'B*15:45', 'B*15:46', - 'B*15:47', 'B*15:48', 'B*15:49', 'B*15:50', 'B*15:51', 'B*15:52', 'B*15:53', 'B*15:54', 'B*15:55', - 'B*15:56', 'B*15:57', 'B*15:58', 'B*15:60', 'B*15:61', 'B*15:62', 'B*15:63', 'B*15:64', 'B*15:65', - 'B*15:66', 'B*15:67', 'B*15:68', 'B*15:69', 'B*15:70', 'B*15:71', 'B*15:72', 'B*15:73', 'B*15:74', - 'B*15:75', 'B*15:76', 'B*15:77', 'B*15:78', 'B*15:80', 'B*15:81', 'B*15:82', 'B*15:83', 'B*15:84', - 'B*15:85', 'B*15:86', 'B*15:87', 'B*15:88', 'B*15:89', 'B*15:90', 'B*15:91', 'B*15:92', 'B*15:93', - 'B*15:95', 'B*15:96', 'B*15:97', 'B*15:98', 'B*15:99', 'B*18:01', 'B*18:02', 'B*18:03', 'B*18:04', - 'B*18:05', 'B*18:06', 'B*18:07', 'B*18:08', 'B*18:09', 'B*18:10', 'B*18:11', 'B*18:12', 'B*18:13', - 'B*18:14', 'B*18:15', 'B*18:18', 'B*18:19', 'B*18:20', 'B*18:21', 'B*18:22', 'B*18:24', 'B*18:25', - 'B*18:26', 'B*18:27', 'B*18:28', 'B*18:29', 'B*18:30', 'B*18:31', 'B*18:32', 'B*18:33', 'B*18:34', - 'B*18:35', 'B*18:36', 'B*18:37', 'B*18:38', 'B*18:39', 'B*18:40', 'B*18:41', 'B*18:42', 'B*18:43', - 'B*18:44', 'B*18:45', 'B*18:46', 'B*18:47', 'B*18:48', 'B*18:49', 'B*18:50', 'B*27:01', 'B*27:02', - 'B*27:03', 'B*27:04', 'B*27:05', 'B*27:06', 'B*27:07', 'B*27:08', 'B*27:09', 'B*27:10', 'B*27:11', - 'B*27:12', 'B*27:13', 'B*27:14', 'B*27:15', 'B*27:16', 'B*27:17', 'B*27:18', 'B*27:19', 'B*27:20', - 'B*27:21', 'B*27:23', 'B*27:24', 'B*27:25', 'B*27:26', 'B*27:27', 'B*27:28', 'B*27:29', 'B*27:30', - 'B*27:31', 'B*27:32', 'B*27:33', 'B*27:34', 'B*27:35', 'B*27:36', 'B*27:37', 'B*27:38', 'B*27:39', - 'B*27:40', 'B*27:41', 'B*27:42', 'B*27:43', 'B*27:44', 'B*27:45', 'B*27:46', 'B*27:47', 'B*27:48', - 'B*27:49', 'B*27:50', 'B*27:51', 'B*27:52', 'B*27:53', 'B*27:54', 'B*27:55', 'B*27:56', 'B*27:57', - 'B*27:58', 'B*27:60', 'B*27:61', 'B*27:62', 'B*27:63', 'B*27:67', 'B*27:68', 'B*27:69', 'B*35:01', - 'B*35:02', 'B*35:03', 'B*35:04', 'B*35:05', 'B*35:06', 'B*35:07', 'B*35:08', 'B*35:09', 'B*35:10', - 'B*35:100', 'B*35:101', 'B*35:102', 'B*35:103', 'B*35:104', 'B*35:105', 'B*35:106', 'B*35:107', - 'B*35:108', 'B*35:109', 'B*35:11', 'B*35:110', 'B*35:111', 'B*35:112', 'B*35:113', 'B*35:114', - 'B*35:115', 'B*35:116', 'B*35:117', 'B*35:118', 'B*35:119', 'B*35:12', 'B*35:120', 'B*35:121', - 'B*35:122', 'B*35:123', 'B*35:124', 'B*35:125', 'B*35:126', 'B*35:127', 'B*35:128', 'B*35:13', - 'B*35:131', 'B*35:132', 'B*35:133', 'B*35:135', 'B*35:136', 'B*35:137', 'B*35:138', 'B*35:139', - 'B*35:14', 'B*35:140', 'B*35:141', 'B*35:142', 'B*35:143', 'B*35:144', 'B*35:15', 'B*35:16', 'B*35:17', - 'B*35:18', 'B*35:19', 'B*35:20', 'B*35:21', 'B*35:22', 'B*35:23', 'B*35:24', 'B*35:25', 'B*35:26', - 'B*35:27', 'B*35:28', 'B*35:29', 'B*35:30', 'B*35:31', 'B*35:32', 'B*35:33', 'B*35:34', 'B*35:35', - 'B*35:36', 'B*35:37', 'B*35:38', 'B*35:39', 'B*35:41', 'B*35:42', 'B*35:43', 'B*35:44', 'B*35:45', - 'B*35:46', 'B*35:47', 'B*35:48', 'B*35:49', 'B*35:50', 'B*35:51', 'B*35:52', 'B*35:54', 'B*35:55', - 'B*35:56', 'B*35:57', 'B*35:58', 'B*35:59', 'B*35:60', 'B*35:61', 'B*35:62', 'B*35:63', 'B*35:64', - 'B*35:66', 'B*35:67', 'B*35:68', 'B*35:69', 'B*35:70', 'B*35:71', 'B*35:72', 'B*35:74', 'B*35:75', - 'B*35:76', 'B*35:77', 'B*35:78', 'B*35:79', 'B*35:80', 'B*35:81', 'B*35:82', 'B*35:83', 'B*35:84', - 'B*35:85', 'B*35:86', 'B*35:87', 'B*35:88', 'B*35:89', 'B*35:90', 'B*35:91', 'B*35:92', 'B*35:93', - 'B*35:94', 'B*35:95', 'B*35:96', 'B*35:97', 'B*35:98', 'B*35:99', 'B*37:01', 'B*37:02', 'B*37:04', - 'B*37:05', 'B*37:06', 'B*37:07', 'B*37:08', 'B*37:09', 'B*37:10', 'B*37:11', 'B*37:12', 'B*37:13', - 'B*37:14', 'B*37:15', 'B*37:17', 'B*37:18', 'B*37:19', 'B*37:20', 'B*37:21', 'B*37:22', 'B*37:23', - 'B*38:01', 'B*38:02', 'B*38:03', 'B*38:04', 'B*38:05', 'B*38:06', 'B*38:07', 'B*38:08', 'B*38:09', - 'B*38:10', 'B*38:11', 'B*38:12', 'B*38:13', 'B*38:14', 'B*38:15', 'B*38:16', 'B*38:17', 'B*38:18', - 'B*38:19', 'B*38:20', 'B*38:21', 'B*38:22', 'B*38:23', 'B*39:01', 'B*39:02', 'B*39:03', 'B*39:04', - 'B*39:05', 'B*39:06', 'B*39:07', 'B*39:08', 'B*39:09', 'B*39:10', 'B*39:11', 'B*39:12', 'B*39:13', - 'B*39:14', 'B*39:15', 'B*39:16', 'B*39:17', 'B*39:18', 'B*39:19', 'B*39:20', 'B*39:22', 'B*39:23', - 'B*39:24', 'B*39:26', 'B*39:27', 'B*39:28', 'B*39:29', 'B*39:30', 'B*39:31', 'B*39:32', 'B*39:33', - 'B*39:34', 'B*39:35', 'B*39:36', 'B*39:37', 'B*39:39', 'B*39:41', 'B*39:42', 'B*39:43', 'B*39:44', - 'B*39:45', 'B*39:46', 'B*39:47', 'B*39:48', 'B*39:49', 'B*39:50', 'B*39:51', 'B*39:52', 'B*39:53', - 'B*39:54', 'B*39:55', 'B*39:56', 'B*39:57', 'B*39:58', 'B*39:59', 'B*39:60', 'B*40:01', 'B*40:02', - 'B*40:03', 'B*40:04', 'B*40:05', 'B*40:06', 'B*40:07', 'B*40:08', 'B*40:09', 'B*40:10', 'B*40:100', - 'B*40:101', 'B*40:102', 'B*40:103', 'B*40:104', 'B*40:105', 'B*40:106', 'B*40:107', 'B*40:108', - 'B*40:109', 'B*40:11', 'B*40:110', 'B*40:111', 'B*40:112', 'B*40:113', 'B*40:114', 'B*40:115', - 'B*40:116', 'B*40:117', 'B*40:119', 'B*40:12', 'B*40:120', 'B*40:121', 'B*40:122', 'B*40:123', - 'B*40:124', 'B*40:125', 'B*40:126', 'B*40:127', 'B*40:128', 'B*40:129', 'B*40:13', 'B*40:130', - 'B*40:131', 'B*40:132', 'B*40:134', 'B*40:135', 'B*40:136', 'B*40:137', 'B*40:138', 'B*40:139', - 'B*40:14', 'B*40:140', 'B*40:141', 'B*40:143', 'B*40:145', 'B*40:146', 'B*40:147', 'B*40:15', - 'B*40:16', 'B*40:18', 'B*40:19', 'B*40:20', 'B*40:21', 'B*40:23', 'B*40:24', 'B*40:25', 'B*40:26', - 'B*40:27', 'B*40:28', 'B*40:29', 'B*40:30', 'B*40:31', 'B*40:32', 'B*40:33', 'B*40:34', 'B*40:35', - 'B*40:36', 'B*40:37', 'B*40:38', 'B*40:39', 'B*40:40', 'B*40:42', 'B*40:43', 'B*40:44', 'B*40:45', - 'B*40:46', 'B*40:47', 'B*40:48', 'B*40:49', 'B*40:50', 'B*40:51', 'B*40:52', 'B*40:53', 'B*40:54', - 'B*40:55', 'B*40:56', 'B*40:57', 'B*40:58', 'B*40:59', 'B*40:60', 'B*40:61', 'B*40:62', 'B*40:63', - 'B*40:64', 'B*40:65', 'B*40:66', 'B*40:67', 'B*40:68', 'B*40:69', 'B*40:70', 'B*40:71', 'B*40:72', - 'B*40:73', 'B*40:74', 'B*40:75', 'B*40:76', 'B*40:77', 'B*40:78', 'B*40:79', 'B*40:80', 'B*40:81', - 'B*40:82', 'B*40:83', 'B*40:84', 'B*40:85', 'B*40:86', 'B*40:87', 'B*40:88', 'B*40:89', 'B*40:90', - 'B*40:91', 'B*40:92', 'B*40:93', 'B*40:94', 'B*40:95', 'B*40:96', 'B*40:97', 'B*40:98', 'B*40:99', - 'B*41:01', 'B*41:02', 'B*41:03', 'B*41:04', 'B*41:05', 'B*41:06', 'B*41:07', 'B*41:08', 'B*41:09', - 'B*41:10', 'B*41:11', 'B*41:12', 'B*42:01', 'B*42:02', 'B*42:04', 'B*42:05', 'B*42:06', 'B*42:07', - 'B*42:08', 'B*42:09', 'B*42:10', 'B*42:11', 'B*42:12', 'B*42:13', 'B*42:14', 'B*44:02', 'B*44:03', - 'B*44:04', 'B*44:05', 'B*44:06', 'B*44:07', 'B*44:08', 'B*44:09', 'B*44:10', 'B*44:100', 'B*44:101', - 'B*44:102', 'B*44:103', 'B*44:104', 'B*44:105', 'B*44:106', 'B*44:107', 'B*44:109', 'B*44:11', - 'B*44:110', 'B*44:12', 'B*44:13', 'B*44:14', 'B*44:15', 'B*44:16', 'B*44:17', 'B*44:18', 'B*44:20', - 'B*44:21', 'B*44:22', 'B*44:24', 'B*44:25', 'B*44:26', 'B*44:27', 'B*44:28', 'B*44:29', 'B*44:30', - 'B*44:31', 'B*44:32', 'B*44:33', 'B*44:34', 'B*44:35', 'B*44:36', 'B*44:37', 'B*44:38', 'B*44:39', - 'B*44:40', 'B*44:41', 'B*44:42', 'B*44:43', 'B*44:44', 'B*44:45', 'B*44:46', 'B*44:47', 'B*44:48', - 'B*44:49', 'B*44:50', 'B*44:51', 'B*44:53', 'B*44:54', 'B*44:55', 'B*44:57', 'B*44:59', 'B*44:60', - 'B*44:62', 'B*44:63', 'B*44:64', 'B*44:65', 'B*44:66', 'B*44:67', 'B*44:68', 'B*44:69', 'B*44:70', - 'B*44:71', 'B*44:72', 'B*44:73', 'B*44:74', 'B*44:75', 'B*44:76', 'B*44:77', 'B*44:78', 'B*44:79', - 'B*44:80', 'B*44:81', 'B*44:82', 'B*44:83', 'B*44:84', 'B*44:85', 'B*44:86', 'B*44:87', 'B*44:88', - 'B*44:89', 'B*44:90', 'B*44:91', 'B*44:92', 'B*44:93', 'B*44:94', 'B*44:95', 'B*44:96', 'B*44:97', - 'B*44:98', 'B*44:99', 'B*45:01', 'B*45:02', 'B*45:03', 'B*45:04', 'B*45:05', 'B*45:06', 'B*45:07', - 'B*45:08', 'B*45:09', 'B*45:10', 'B*45:11', 'B*45:12', 'B*46:01', 'B*46:02', 'B*46:03', 'B*46:04', - 'B*46:05', 'B*46:06', 'B*46:08', 'B*46:09', 'B*46:10', 'B*46:11', 'B*46:12', 'B*46:13', 'B*46:14', - 'B*46:16', 'B*46:17', 'B*46:18', 'B*46:19', 'B*46:20', 'B*46:21', 'B*46:22', 'B*46:23', 'B*46:24', - 'B*47:01', 'B*47:02', 'B*47:03', 'B*47:04', 'B*47:05', 'B*47:06', 'B*47:07', 'B*48:01', 'B*48:02', - 'B*48:03', 'B*48:04', 'B*48:05', 'B*48:06', 'B*48:07', 'B*48:08', 'B*48:09', 'B*48:10', 'B*48:11', - 'B*48:12', 'B*48:13', 'B*48:14', 'B*48:15', 'B*48:16', 'B*48:17', 'B*48:18', 'B*48:19', 'B*48:20', - 'B*48:21', 'B*48:22', 'B*48:23', 'B*49:01', 'B*49:02', 'B*49:03', 'B*49:04', 'B*49:05', 'B*49:06', - 'B*49:07', 'B*49:08', 'B*49:09', 'B*49:10', 'B*50:01', 'B*50:02', 'B*50:04', 'B*50:05', 'B*50:06', - 'B*50:07', 'B*50:08', 'B*50:09', 'B*51:01', 'B*51:02', 'B*51:03', 'B*51:04', 'B*51:05', 'B*51:06', - 'B*51:07', 'B*51:08', 'B*51:09', 'B*51:12', 'B*51:13', 'B*51:14', 'B*51:15', 'B*51:16', 'B*51:17', - 'B*51:18', 'B*51:19', 'B*51:20', 'B*51:21', 'B*51:22', 'B*51:23', 'B*51:24', 'B*51:26', 'B*51:28', - 'B*51:29', 'B*51:30', 'B*51:31', 'B*51:32', 'B*51:33', 'B*51:34', 'B*51:35', 'B*51:36', 'B*51:37', - 'B*51:38', 'B*51:39', 'B*51:40', 'B*51:42', 'B*51:43', 'B*51:45', 'B*51:46', 'B*51:48', 'B*51:49', - 'B*51:50', 'B*51:51', 'B*51:52', 'B*51:53', 'B*51:54', 'B*51:55', 'B*51:56', 'B*51:57', 'B*51:58', - 'B*51:59', 'B*51:60', 'B*51:61', 'B*51:62', 'B*51:63', 'B*51:64', 'B*51:65', 'B*51:66', 'B*51:67', - 'B*51:68', 'B*51:69', 'B*51:70', 'B*51:71', 'B*51:72', 'B*51:73', 'B*51:74', 'B*51:75', 'B*51:76', - 'B*51:77', 'B*51:78', 'B*51:79', 'B*51:80', 'B*51:81', 'B*51:82', 'B*51:83', 'B*51:84', 'B*51:85', - 'B*51:86', 'B*51:87', 'B*51:88', 'B*51:89', 'B*51:90', 'B*51:91', 'B*51:92', 'B*51:93', 'B*51:94', - 'B*51:95', 'B*51:96', 'B*52:01', 'B*52:02', 'B*52:03', 'B*52:04', 'B*52:05', 'B*52:06', 'B*52:07', - 'B*52:08', 'B*52:09', 'B*52:10', 'B*52:11', 'B*52:12', 'B*52:13', 'B*52:14', 'B*52:15', 'B*52:16', - 'B*52:17', 'B*52:18', 'B*52:19', 'B*52:20', 'B*52:21', 'B*53:01', 'B*53:02', 'B*53:03', 'B*53:04', - 'B*53:05', 'B*53:06', 'B*53:07', 'B*53:08', 'B*53:09', 'B*53:10', 'B*53:11', 'B*53:12', 'B*53:13', - 'B*53:14', 'B*53:15', 'B*53:16', 'B*53:17', 'B*53:18', 'B*53:19', 'B*53:20', 'B*53:21', 'B*53:22', - 'B*53:23', 'B*54:01', 'B*54:02', 'B*54:03', 'B*54:04', 'B*54:06', 'B*54:07', 'B*54:09', 'B*54:10', - 'B*54:11', 'B*54:12', 'B*54:13', 'B*54:14', 'B*54:15', 'B*54:16', 'B*54:17', 'B*54:18', 'B*54:19', - 'B*54:20', 'B*54:21', 'B*54:22', 'B*54:23', 'B*55:01', 'B*55:02', 'B*55:03', 'B*55:04', 'B*55:05', - 'B*55:07', 'B*55:08', 'B*55:09', 'B*55:10', 'B*55:11', 'B*55:12', 'B*55:13', 'B*55:14', 'B*55:15', - 'B*55:16', 'B*55:17', 'B*55:18', 'B*55:19', 'B*55:20', 'B*55:21', 'B*55:22', 'B*55:23', 'B*55:24', - 'B*55:25', 'B*55:26', 'B*55:27', 'B*55:28', 'B*55:29', 'B*55:30', 'B*55:31', 'B*55:32', 'B*55:33', - 'B*55:34', 'B*55:35', 'B*55:36', 'B*55:37', 'B*55:38', 'B*55:39', 'B*55:40', 'B*55:41', 'B*55:42', - 'B*55:43', 'B*56:01', 'B*56:02', 'B*56:03', 'B*56:04', 'B*56:05', 'B*56:06', 'B*56:07', 'B*56:08', - 'B*56:09', 'B*56:10', 'B*56:11', 'B*56:12', 'B*56:13', 'B*56:14', 'B*56:15', 'B*56:16', 'B*56:17', - 'B*56:18', 'B*56:20', 'B*56:21', 'B*56:22', 'B*56:23', 'B*56:24', 'B*56:25', 'B*56:26', 'B*56:27', - 'B*56:29', 'B*57:01', 'B*57:02', 'B*57:03', 'B*57:04', 'B*57:05', 'B*57:06', 'B*57:07', 'B*57:08', - 'B*57:09', 'B*57:10', 'B*57:11', 'B*57:12', 'B*57:13', 'B*57:14', 'B*57:15', 'B*57:16', 'B*57:17', - 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'C*01:27', 'C*01:28', 'C*01:29', 'C*01:30', 'C*01:31', 'C*01:32', 'C*01:33', 'C*01:34', 'C*01:35', - 'C*01:36', 'C*01:38', 'C*01:39', 'C*01:40', 'C*02:02', 'C*02:03', 'C*02:04', 'C*02:05', 'C*02:06', - 'C*02:07', 'C*02:08', 'C*02:09', 'C*02:10', 'C*02:11', 'C*02:12', 'C*02:13', 'C*02:14', 'C*02:15', - 'C*02:16', 'C*02:17', 'C*02:18', 'C*02:19', 'C*02:20', 'C*02:21', 'C*02:22', 'C*02:23', 'C*02:24', - 'C*02:26', 'C*02:27', 'C*02:28', 'C*02:29', 'C*02:30', 'C*02:31', 'C*02:32', 'C*02:33', 'C*02:34', - 'C*02:35', 'C*02:36', 'C*02:37', 'C*02:39', 'C*02:40', 'C*03:01', 'C*03:02', 'C*03:03', 'C*03:04', - 'C*03:05', 'C*03:06', 'C*03:07', 'C*03:08', 'C*03:09', 'C*03:10', 'C*03:11', 'C*03:12', 'C*03:13', - 'C*03:14', 'C*03:15', 'C*03:16', 'C*03:17', 'C*03:18', 'C*03:19', 'C*03:21', 'C*03:23', 'C*03:24', - 'C*03:25', 'C*03:26', 'C*03:27', 'C*03:28', 'C*03:29', 'C*03:30', 'C*03:31', 'C*03:32', 'C*03:33', - 'C*03:34', 'C*03:35', 'C*03:36', 'C*03:37', 'C*03:38', 'C*03:39', 'C*03:40', 'C*03:41', 'C*03:42', - 'C*03:43', 'C*03:44', 'C*03:45', 'C*03:46', 'C*03:47', 'C*03:48', 'C*03:49', 'C*03:50', 'C*03:51', - 'C*03:52', 'C*03:53', 'C*03:54', 'C*03:55', 'C*03:56', 'C*03:57', 'C*03:58', 'C*03:59', 'C*03:60', - 'C*03:61', 'C*03:62', 'C*03:63', 'C*03:64', 'C*03:65', 'C*03:66', 'C*03:67', 'C*03:68', 'C*03:69', - 'C*03:70', 'C*03:71', 'C*03:72', 'C*03:73', 'C*03:74', 'C*03:75', 'C*03:76', 'C*03:77', 'C*03:78', - 'C*03:79', 'C*03:80', 'C*03:81', 'C*03:82', 'C*03:83', 'C*03:84', 'C*03:85', 'C*03:86', 'C*03:87', - 'C*03:88', 'C*03:89', 'C*03:90', 'C*03:91', 'C*03:92', 'C*03:93', 'C*03:94', 'C*04:01', 'C*04:03', - 'C*04:04', 'C*04:05', 'C*04:06', 'C*04:07', 'C*04:08', 'C*04:10', 'C*04:11', 'C*04:12', 'C*04:13', - 'C*04:14', 'C*04:15', 'C*04:16', 'C*04:17', 'C*04:18', 'C*04:19', 'C*04:20', 'C*04:23', 'C*04:24', - 'C*04:25', 'C*04:26', 'C*04:27', 'C*04:28', 'C*04:29', 'C*04:30', 'C*04:31', 'C*04:32', 'C*04:33', - 'C*04:34', 'C*04:35', 'C*04:36', 'C*04:37', 'C*04:38', 'C*04:39', 'C*04:40', 'C*04:41', 'C*04:42', - 'C*04:43', 'C*04:44', 'C*04:45', 'C*04:46', 'C*04:47', 'C*04:48', 'C*04:49', 'C*04:50', 'C*04:51', - 'C*04:52', 'C*04:53', 'C*04:54', 'C*04:55', 'C*04:56', 'C*04:57', 'C*04:58', 'C*04:60', 'C*04:61', - 'C*04:62', 'C*04:63', 'C*04:64', 'C*04:65', 'C*04:66', 'C*04:67', 'C*04:68', 'C*04:69', 'C*04:70', - 'C*05:01', 'C*05:03', 'C*05:04', 'C*05:05', 'C*05:06', 'C*05:08', 'C*05:09', 'C*05:10', 'C*05:11', - 'C*05:12', 'C*05:13', 'C*05:14', 'C*05:15', 'C*05:16', 'C*05:17', 'C*05:18', 'C*05:19', 'C*05:20', - 'C*05:21', 'C*05:22', 'C*05:23', 'C*05:24', 'C*05:25', 'C*05:26', 'C*05:27', 'C*05:28', 'C*05:29', - 'C*05:30', 'C*05:31', 'C*05:32', 'C*05:33', 'C*05:34', 'C*05:35', 'C*05:36', 'C*05:37', 'C*05:38', - 'C*05:39', 'C*05:40', 'C*05:41', 'C*05:42', 'C*05:43', 'C*05:44', 'C*05:45', 'C*06:02', 'C*06:03', - 'C*06:04', 'C*06:05', 'C*06:06', 'C*06:07', 'C*06:08', 'C*06:09', 'C*06:10', 'C*06:11', 'C*06:12', - 'C*06:13', 'C*06:14', 'C*06:15', 'C*06:17', 'C*06:18', 'C*06:19', 'C*06:20', 'C*06:21', 'C*06:22', - 'C*06:23', 'C*06:24', 'C*06:25', 'C*06:26', 'C*06:27', 'C*06:28', 'C*06:29', 'C*06:30', 'C*06:31', - 'C*06:32', 'C*06:33', 'C*06:34', 'C*06:35', 'C*06:36', 'C*06:37', 'C*06:38', 'C*06:39', 'C*06:40', - 'C*06:41', 'C*06:42', 'C*06:43', 'C*06:44', 'C*06:45', 'C*07:01', 'C*07:02', 'C*07:03', 'C*07:04', - 'C*07:05', 'C*07:06', 'C*07:07', 'C*07:08', 'C*07:09', 'C*07:10', 'C*07:100', 'C*07:101', 'C*07:102', - 'C*07:103', 'C*07:105', 'C*07:106', 'C*07:107', 'C*07:108', 'C*07:109', 'C*07:11', 'C*07:110', - 'C*07:111', 'C*07:112', 'C*07:113', 'C*07:114', 'C*07:115', 'C*07:116', 'C*07:117', 'C*07:118', - 'C*07:119', 'C*07:12', 'C*07:120', 'C*07:122', 'C*07:123', 'C*07:124', 'C*07:125', 'C*07:126', - 'C*07:127', 'C*07:128', 'C*07:129', 'C*07:13', 'C*07:130', 'C*07:131', 'C*07:132', 'C*07:133', - 'C*07:134', 'C*07:135', 'C*07:136', 'C*07:137', 'C*07:138', 'C*07:139', 'C*07:14', 'C*07:140', - 'C*07:141', 'C*07:142', 'C*07:143', 'C*07:144', 'C*07:145', 'C*07:146', 'C*07:147', 'C*07:148', - 'C*07:149', 'C*07:15', 'C*07:16', 'C*07:17', 'C*07:18', 'C*07:19', 'C*07:20', 'C*07:21', 'C*07:22', - 'C*07:23', 'C*07:24', 'C*07:25', 'C*07:26', 'C*07:27', 'C*07:28', 'C*07:29', 'C*07:30', 'C*07:31', - 'C*07:35', 'C*07:36', 'C*07:37', 'C*07:38', 'C*07:39', 'C*07:40', 'C*07:41', 'C*07:42', 'C*07:43', - 'C*07:44', 'C*07:45', 'C*07:46', 'C*07:47', 'C*07:48', 'C*07:49', 'C*07:50', 'C*07:51', 'C*07:52', - 'C*07:53', 'C*07:54', 'C*07:56', 'C*07:57', 'C*07:58', 'C*07:59', 'C*07:60', 'C*07:62', 'C*07:63', - 'C*07:64', 'C*07:65', 'C*07:66', 'C*07:67', 'C*07:68', 'C*07:69', 'C*07:70', 'C*07:71', 'C*07:72', - 'C*07:73', 'C*07:74', 'C*07:75', 'C*07:76', 'C*07:77', 'C*07:78', 'C*07:79', 'C*07:80', 'C*07:81', - 'C*07:82', 'C*07:83', 'C*07:84', 'C*07:85', 'C*07:86', 'C*07:87', 'C*07:88', 'C*07:89', 'C*07:90', - 'C*07:91', 'C*07:92', 'C*07:93', 'C*07:94', 'C*07:95', 'C*07:96', 'C*07:97', 'C*07:99', 'C*08:01', - 'C*08:02', 'C*08:03', 'C*08:04', 'C*08:05', 'C*08:06', 'C*08:07', 'C*08:08', 'C*08:09', 'C*08:10', - 'C*08:11', 'C*08:12', 'C*08:13', 'C*08:14', 'C*08:15', 'C*08:16', 'C*08:17', 'C*08:18', 'C*08:19', - 'C*08:20', 'C*08:21', 'C*08:22', 'C*08:23', 'C*08:24', 'C*08:25', 'C*08:27', 'C*08:28', 'C*08:29', - 'C*08:30', 'C*08:31', 'C*08:32', 'C*08:33', 'C*08:34', 'C*08:35', 'C*12:02', 'C*12:03', 'C*12:04', - 'C*12:05', 'C*12:06', 'C*12:07', 'C*12:08', 'C*12:09', 'C*12:10', 'C*12:11', 'C*12:12', 'C*12:13', - 'C*12:14', 'C*12:15', 'C*12:16', 'C*12:17', 'C*12:18', 'C*12:19', 'C*12:20', 'C*12:21', 'C*12:22', - 'C*12:23', 'C*12:24', 'C*12:25', 'C*12:26', 'C*12:27', 'C*12:28', 'C*12:29', 'C*12:30', 'C*12:31', - 'C*12:32', 'C*12:33', 'C*12:34', 'C*12:35', 'C*12:36', 'C*12:37', 'C*12:38', 'C*12:40', 'C*12:41', - 'C*12:43', 'C*12:44', 'C*14:02', 'C*14:03', 'C*14:04', 'C*14:05', 'C*14:06', 'C*14:08', 'C*14:09', - 'C*14:10', 'C*14:11', 'C*14:12', 'C*14:13', 'C*14:14', 'C*14:15', 'C*14:16', 'C*14:17', 'C*14:18', - 'C*14:19', 'C*14:20', 'C*15:02', 'C*15:03', 'C*15:04', 'C*15:05', 'C*15:06', 'C*15:07', 'C*15:08', - 'C*15:09', 'C*15:10', 'C*15:11', 'C*15:12', 'C*15:13', 'C*15:15', 'C*15:16', 'C*15:17', 'C*15:18', - 'C*15:19', 'C*15:20', 'C*15:21', 'C*15:22', 'C*15:23', 'C*15:24', 'C*15:25', 'C*15:26', 'C*15:27', - 'C*15:28', 'C*15:29', 'C*15:30', 'C*15:31', 'C*15:33', 'C*15:34', 'C*15:35', 'C*16:01', 'C*16:02', - 'C*16:04', 'C*16:06', 'C*16:07', 'C*16:08', 'C*16:09', 'C*16:10', 'C*16:11', 'C*16:12', 'C*16:13', - 'C*16:14', 'C*16:15', 'C*16:17', 'C*16:18', 'C*16:19', 'C*16:20', 'C*16:21', 'C*16:22', 'C*16:23', - 'C*16:24', 'C*16:25', 'C*16:26', 'C*17:01', 'C*17:02', 'C*17:03', 'C*17:04', 'C*17:05', 'C*17:06', - 'C*17:07', 'C*18:01', 'C*18:02', 'C*18:03', 'E*01:01', 'G*01:01', 'G*01:02', 'G*01:03', 'G*01:04', - 'G*01:06', 'G*01:07', 'G*01:08', 'G*01:09']) - __version = "1.1" - - @property - def version(self): - return self.__version - -
[docs] def convert_alleles(self, alleles): - return ["HLA-%s%s:%s"%(a.locus, a.supertype, a.subtype) for a in alleles] -
- @property - def supportedAlleles(self): - return self.__alleles - - @property - def name(self): - return self.__name - - @property - def command(self): - return self.__command - - @property - def supportedLength(self): - return self.__supported_length - -
[docs] def parse_external_result(self, _file): - result = defaultdict(defaultdict) - with open(_file, "r") as f: - for l in f: - if l.startswith("#") or l.startswith("-") or l.strip() == "": - continue - row = l.strip().split() - if not row[0].isdigit(): - continue - - epitope, allele, comb_score = row[3], row[2], row[7] - result[allele.replace("*", "")][epitope] = float(comb_score) - return result -
-
[docs] def get_external_version(self, path=None): - #Undertermined pickpocket does not support --version or something similar - return None -
-
[docs] def prepare_peptide_input(self, _peptides, _file): - _file.write("\n".join(">pepe_%i\n%s"%(i, p) for i, p in enumerate(_peptides)))
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/EpitopePrediction/PSSM.html b/Fred2/doc/_build/html/_modules/Fred2/EpitopePrediction/PSSM.html deleted file mode 100644 index 679bdc8a..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/EpitopePrediction/PSSM.html +++ /dev/null @@ -1,648 +0,0 @@ - - - - - - - - Fred2.EpitopePrediction.PSSM — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.EpitopePrediction.PSSM

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: EpitopePrediction.PSSM
-   :synopsis: This module contains all classes for PSSM-based epitope prediction.
-.. moduleauthor:: schubert
-
-"""
-
-import itertools
-import warnings
-import pandas
-import math
-
-from Fred2.Core.Allele import Allele
-from Fred2.Core.Peptide import Peptide
-from Fred2.Core.Result import EpitopePredictionResult
-from Fred2.Core.Base import AEpitopePrediction
-
-
-
[docs]class APSSMEpitopePrediction(AEpitopePrediction): - """ - Abstract base class for PSSM predictions. - - Implements predict functionality - - """ - -
[docs] def predict(self, peptides, alleles=None, **kwargs): - """ - Returns predictions for given peptides an alleles. If no alleles are given, predictions for all available models - are made. - - :param list(Peptide)/Peptide peptides: A single Peptide or a list of Peptides - :param list(Alleles) alleles: a list of Alleles - :param kwargs: optional parameter (not used yet) - :return: Returns a AResult object with the prediction results - """ - def __load_allele_model(allele,length): - allele_model = "%s_%s_%i"%(self.name, allele, length) - return getattr( __import__("Fred2.Data.EpitopePSSMMatrices", fromlist=[allele_model]), allele_model) - - if isinstance(peptides, Peptide): - pep_seqs = {str(peptides):peptides} - else: - if any(not isinstance(p, Peptide) for p in peptides): - raise ValueError("Input is not of type Protein or Peptide") - pep_seqs = {str(p):p for p in peptides} - - if alleles is None: - al = [Allele("HLA-"+a) for a in self.supportedAlleles] - allales_string = {conv_a:a for conv_a, a in itertools.izip(self.convert_alleles(al), al)} - else: - if isinstance(alleles, Allele): - alleles = [alleles] - if any(not isinstance(p, Allele) for p in alleles): - raise ValueError("Input is not of type Allele") - allales_string ={conv_a:a for conv_a, a in itertools.izip(self.convert_alleles(alleles),alleles)} - - result = {} - for length, peps in itertools.groupby(pep_seqs.iterkeys(), key= lambda x: len(x)): - peps = list(peps) - #dynamicaly import prediction PSSMS for alleles and predict - if length not in self.supportedLength: - warnings.warn("Peptide length of %i is not supported by %s"%(length,self.name)) - continue - - for a in allales_string.keys(): - try: - pssm = __load_allele_model(a, length) - except AttributeError: - warnings.warn("No model found for %s with length %i"%(allales_string[a], length)) - continue - - result[allales_string[a]] = {} - ##here is the prediction and result object missing## - for p in peps: - score = sum(pssm[i].get(p[i], 0.0) for i in xrange(length))+pssm.get(-1,{}).get("con", 0) - result[allales_string[a]][pep_seqs[p]] = score - #print a, score, result - - if not result: - raise ValueError("No predictions could be made with " +self.name+" for given input. Check your" - "epitope length and HLA allele combination.") - - - df_result = EpitopePredictionResult.from_dict(result) - df_result.index = pandas.MultiIndex.from_tuples([tuple((i,self.name)) for i in df_result.index], - names=['Seq','Method']) - return df_result - -
-
[docs]class Syfpeithi(APSSMEpitopePrediction): - """ - Represents the Syfpeithi PSSM predictor - """ - __alleles = frozenset(['B*15:10', 'B*41:01', 'B*37:01', 'B*27:05', 'B*38:01', 'A*02:01', 'B*47:01', 'A*26:01', 'B*37:01', - 'DRB1*11:01', 'B*50:01', 'B*07:02', 'A*68:01', 'A*24:02', 'DRB1*15:01', 'B*15:01', 'B*45:01', - 'A*11:01', 'A*03:01', 'B*40:01', 'DRB1*03:01', 'B*39:01', 'DRB1*01:01', 'B*51:01', 'B*39:02', - 'B*08:01', 'B*18:01', 'B*44:02', 'B*49:01', 'DRB1*07:01', 'B*14:02', 'A*01:01']) - __supported_length = frozenset([8, 9, 10, 11]) - __name = "syfpeithi" - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def name(self): - return self.__name - - @property - def supportedAlleles(self): - return self.__alleles - - @property - def supportedLength(self): - return self.__supported_length - -
[docs] def convert_alleles(self, alleles): - return ["%s_%s%s"%(a.locus, a.supertype, a.subtype) for a in alleles] -
-
[docs] def predict(self, peptides, alleles=None, **kwargs): - #with this implementation customizations of prediction algorithm is still possible - return super(Syfpeithi, self).predict(peptides, alleles=alleles, **kwargs) - -
-
[docs]class BIMAS(APSSMEpitopePrediction): - """ - Represents the BIMAS PSSM predictor - """ - - __alleles = frozenset(['B*04:01', 'A*31:01', 'B*58:01', 'C*06:02', 'A*03:01', 'B*35:01', - 'B*35:01', 'B*15:01', 'A*02:05', 'B*27:05', 'B*27:05', 'A*33:02', - 'B*39:01', 'B*38:01', 'B*40:', 'A*24:02', 'B*51:01', 'B*07:02', 'B*08:01', - 'B*51:02', 'B*40:06', 'B*40:06', 'B*51:02', 'B*37:01', 'A*11:01', - 'B*08:01', 'B*44:03', 'A*68:01', 'B*51:03', 'B*52:01', 'A*02:01', - 'A*01:01', 'C*07:02', 'C*03:01', 'B*40:01', 'B*51:01', 'B*39:02', - 'B*52:01', 'C*04:01', 'B*27:02', 'B*39:01']) - __supported_length = frozenset([8, 9]) - __name = "bimas" - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def name(self): - return self.__name - - @property - def supportedAlleles(self): - return self.__alleles - - @property - def supportedLength(self): - return self.__supported_length - -
[docs] def convert_alleles(self, alleles): - return ["%s_%s%s"%(a.locus, a.supertype, a.subtype) for a in alleles] -
-
[docs] def predict(self, peptides, alleles=None, **kwargs): - #with this implementation customizations of prediction algorithm is still possible - return EpitopePredictionResult( - super(BIMAS, self).predict(peptides, alleles=alleles, - **kwargs).applymap(lambda x: math.pow(math.e,x))) - -
-
[docs]class Epidemix(APSSMEpitopePrediction): - __alleles = frozenset(['B*27', 'A*11:01', 'B*27:05', 'B*07', 'B*27', 'A*01', 'B*44', 'A*03', - 'A*25', 'B*37:01', 'A*02:01', 'A*02:01', 'B*18:01', 'B*18:01', 'A*03', - 'A*24', 'A*25', 'A*02:01', 'A*11:01', 'A*24:02', 'B*08', 'B*08', - 'B*51:01', 'B*51:01']) - __supported_length = frozenset([9, 10, 8, 11]) - __name = "epidemix" - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def name(self): - return self.__name - - @property - def supportedAlleles(self): - return self.__alleles - - @property - def supportedLength(self): - return self.__supported_length - -
[docs] def convert_alleles(self, alleles): - return ["%s_%s%s"%(a.locus, a.supertype, a.subtype) for a in alleles] -
-
[docs] def predict(self, peptides, alleles=None, **kwargs): - #with this implementation customizations of prediction algorithm is still possible - return super(Epidemix, self).predict(peptides, alleles=alleles, **kwargs) - -
-
[docs]class Hammer(APSSMEpitopePrediction): - __alleles = frozenset(['DRB1*07:03', 'DRB1*07:01', 'DRB1*11:28', 'DRB1*11:21', 'DRB1*11:20', 'DRB1*04:26', 'DRB1*04:23', - 'DRB1*04:21', 'DRB5*01:05:', 'DRB1*08:17', 'DRB1*13:05', 'DRB1*13:04', 'DRB1*13:07', 'DRB1*13:01', - 'DRB1*13:02', 'DRB1*08:04', 'DRB1*08:06', 'DRB1*08:01', 'DRB1*01:01', 'DRB1*01:02', 'DRB1*08:02', - 'DRB1*13:11', 'DRB1*03:11', 'DRB1*11:07', 'DRB1*11:06', 'DRB1*11:04', 'DRB1*11:02', 'DRB1*11:01', - 'DRB1*04:08', 'DRB1*04:01', 'DRB1*04:02', 'DRB1*04:05', 'DRB1*04:04', 'DRB1*13:23', 'DRB1*13:22', - 'DRB1*13:21', 'DRB1*13:27', 'DRB1*08:13', 'DRB1*13:28', 'DRB1*03:06', 'DRB1*03:07', 'DRB1*03:05', - 'DRB1*11:14', 'DRB1*03:01', 'DRB1*15:02', 'DRB1*15:01', 'DRB1*15:06', 'DRB1*03:08', 'DRB1*03:09', - 'DRB1*04:10', 'DRB5*01:01']) - __supported_length = frozenset([9]) - __name = "hammer" - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def name(self): - return self.__name - - @property - def supportedAlleles(self): - return self.__alleles - - @property - def supportedLength(self): - return self.__supported_length - -
[docs] def convert_alleles(self, alleles): - return ["%s_%s%s"%(a.locus, a.supertype, a.subtype) for a in alleles] -
-
[docs] def predict(self, peptides, alleles=None, **kwargs): - #with this implementation customizations of prediction algorithm is still possible - return super(Hammer, self).predict(peptides, alleles=alleles, **kwargs) - -
-
[docs]class SMM(APSSMEpitopePrediction): - """ - Implements IEDBs SMM PSSM method - """ - - __alleles = frozenset(['B*27:20', 'B*83:01', 'A*32:15', 'B*15:17', 'B*40:13', 'A*24:02', 'A*24:03', 'B*53:01', 'B*15:01', - 'B*27:05', 'B*42:01', 'B*39:01', 'B*38:01', 'A*23:01', 'A*25:01', 'C*04:01', 'A*29:02', 'A*02:06', - 'A*02:01', 'A*02:02', 'A*02:03', 'A*26:02', 'A*26:03', 'A*26:01', 'C*03:03', 'E*01:01', 'E*01:03', - 'B*58:01', 'A*31:01', 'C*06:02', 'B*07:02', 'A*66:01', 'B*57:01', 'A*68:01', 'A*68:02', 'C*14:02', - 'B*35:01', 'B*15:09', 'B*35:03', 'A*80:01', 'B*15:03', 'B*15:02', 'A*32:01', 'A*02:50', 'A*32:07', - 'B*58:02', 'A*69:01', 'A*68:23', 'A*11:01', 'A*03:01', 'B*73:01', 'B*40:01', 'B*44:03', 'B*46:01', - 'B*40:02', 'C*12:03', 'B*44:02', 'A*30:01', 'A*02:19', 'A*30:02', 'A*02:17', 'A*02:16', 'B*51:01', - 'B*45:01', 'A*02:12', 'A*02:11', 'B*54:01', 'B*08:01', 'B*18:01', 'B*08:03', 'B*08:02', 'C*05:01', - 'C*15:02', 'A*33:01', 'B*14:02', 'C*07:01', 'B*48:01', 'B*15:42', 'C*07:02', 'A*01:01', 'C*08:02']) - __supported_length = frozenset([8, 9, 10, 11]) - __name = "smm" - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def name(self): - return self.__name - - @property - def supportedAlleles(self): - return self.__alleles - - @property - def supportedLength(self): - return self.__supported_length - -
[docs] def convert_alleles(self, alleles): - return ["%s_%s_%s"%(a.locus, a.supertype, a.subtype) for a in alleles] -
-
[docs] def predict(self, peptides, alleles=None, **kwargs): - #with this implementation customizations of prediction algorithm is still possible - #In IEDB scripts score is taken to the base 10**score - return EpitopePredictionResult( - super(SMM, self).predict(peptides, alleles=alleles, **kwargs).applymap(lambda x: math.pow(10,x))) - -
-
[docs]class SMMPMBEC(APSSMEpitopePrediction): - """ - Implements IEDBs SMMPMBEC PSSM method - """ - - __alleles = frozenset(['A*01:01', 'A*02:01', 'A*02:02', 'A*02:03', 'A*02:06', 'A*02:11', 'A*02:12', 'A*02:16', 'A*02:17', - 'A*02:19', 'A*02:50', 'A*03:01', 'A*11:01', 'A*23:01', 'A*24:02', 'A*24:03', 'A*25:01', 'A*26:01', - 'A*26:02', 'A*26:03', 'A*29:02', 'A*30:01', 'A*30:02', 'A*31:01', 'A*32:01', 'A*32:07', 'A*32:15', - 'A*33:01', 'A*66:01', 'A*68:01', 'A*68:02', 'A*68:23', 'A*69:01', 'A*80:01', 'B*07:02', 'B*08:01', - 'B*08:02', 'B*08:03', 'B*14:02', 'B*15:01', 'B*15:02', 'B*15:03', 'B*15:09', 'B*15:17', 'B*15:42', - 'B*18:01', 'B*27:03', 'B*27:05', 'B*27:20', 'B*35:01', 'B*35:03', 'B*38:01', 'B*39:01', 'B*40:01', - 'B*40:02', 'B*40:13', 'B*42:01', 'B*44:02', 'B*44:03', 'B*45:01', 'B*45:06', 'B*46:01', 'B*48:01', - 'B*51:01', 'B*53:01', 'B*54:01', 'B*57:01', 'B*58:01', 'B*58:02', 'B*73:01', 'B*83:01', 'C*03:03', - 'C*04:01', 'C*05:01', 'C*06:02', 'C*07:01', 'C*07:02', 'C*08:02', 'C*12:03', 'C*14:02', 'C*15:02', - 'E*01:01', 'E*01:03']) - __supported_length = frozenset([8, 9, 10, 11]) - __name = "smmpmbec" - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def name(self): - return self.__name - - @property - def supportedAlleles(self): - return self.__alleles - - @property - def supportedLength(self): - return self.__supported_length - -
[docs] def convert_alleles(self, alleles): - return ["%s_%s_%s"%(a.locus, a.supertype, a.subtype) for a in alleles] -
-
[docs] def predict(self, peptides, alleles=None, **kwargs): - #with this implementation customizations of prediction algorithm is still possible - #In IEDB scripts score is taken to the base 10**score - return EpitopePredictionResult( - super(SMMPMBEC, self).predict(peptides, alleles=alleles, **kwargs).applymap(lambda x: math.pow(10,x))) - -
-
[docs]class ARB(APSSMEpitopePrediction): - """ - Implements IEDBs ARB method - """ - - __alleles = frozenset(['A*01:01', 'A*02:01', 'A*02:02', 'A*02:03', 'A*02:06', 'A*02:11', 'A*02:12', 'A*02:16', 'A*02:19', - 'A*02:50', 'A*03:01', 'A*11:01', 'A*23:01', 'A*24:02', 'A*24:03', 'A*25:01', 'A*26:01', 'A*26:02', - 'A*26:03', 'A*29:02', 'A*30:01', 'A*30:02', 'A*31:01', 'A*32:01', 'A*33:01', 'A*68:01', 'A*68:02', - 'A*69:01', 'A*80:01', 'B*07:02', 'B*08:01', 'B*08:02', 'B*08:03', 'B*15:01', 'B*15:02', 'B*15:03', - 'B*15:09', 'B*15:17', 'B*18:01', 'B*27:03', 'B*27:05', 'B*35:01', 'B*38:01', 'B*39:01', 'B*40:01', - 'B*40:02', 'B*44:02', 'B*44:03', 'B*45:01', 'B*46:01', 'B*48:01', 'B*51:01', 'B*53:01', 'B*54:01', - 'B*57:01', 'B*58:01', 'B*73:01']) - __supported_length = frozenset([8, 9, 10, 11]) - __name = "arb" - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def name(self): - return self.__name - - @property - def supportedAlleles(self): - return self.__alleles - - @property - def supportedLength(self): - return self.__supported_length - -
[docs] def convert_alleles(self, alleles): - return ["%s_%s%s"%(a.locus, a.supertype, a.subtype) for a in alleles] -
-
[docs] def predict(self, peptides, alleles=None, **kwargs): - #with this implementation customizations of prediction algorithm is still possible - #In IEDB scripts score is taken to the base 10**score - #TODO: IEDB calculates ARB score as follows.... needs some restructuring to be able to do this - # score/=-self.length - # score-=self.intercept - # score/=self.slope - # score=math.pow(10,score) - # if score < 0.0001: # Cap predictable values - # score = 0.0001 - # elif score > 1e6: - # score = 1e6 - return EpitopePredictionResult( - super(ARB, self).predict(peptides, alleles=alleles, **kwargs).applymap(lambda x: math.pow(10, x))) - -
-
[docs]class ComblibSidney2008(APSSMEpitopePrediction): - """ - Implements IEDBs Comblib_Sidney2008 PSSM method - """ - - __alleles = frozenset(['B*35:01', 'B*51:01', 'B*54:01', 'B*58:02', 'A*02:01', 'A*68:02', 'B*27:05', 'B*08:01', 'B*07:02', - 'A*32:01', 'B*53:01', 'A*30:01', 'B*15:03', 'B*15:01', 'B*58:01']) - __supported_length = frozenset([9]) - __name = "comblibSidney" - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def name(self): - return self.__name - - @property - def supportedAlleles(self): - return self.__alleles - - @property - def supportedLength(self): - return self.__supported_length - -
[docs] def convert_alleles(self, alleles): - return ["%s_%s%s"%(a.locus, a.supertype, a.subtype) for a in alleles] -
-
[docs] def predict(self, peptides, alleles=None, **kwargs): - #with this implementation customizations of prediction algorithm is still possible - #In IEDB scripts score is taken to the base 10**score - return EpitopePredictionResult( - super(ComblibSidney2008, self).predict(peptides, - alleles=alleles, **kwargs).applymap(lambda x: math.pow(10, x))) - -
-
[docs]class TEPITOPEpan(APSSMEpitopePrediction): - """ - Implements TEPITOPEpan - TEPITOPEpan: Extending TEPITOPE for Peptide Binding Prediction Covering over 700 HLA-DR Molecules - Lianming Zhang , Yiqing Chen , Hau-San Wong, Shuigeng Zhou, Hiroshi Mamitsuka, Shanfeng Zhu - """ - - __alleles = frozenset(['DRB1*01:01', 'DRB1*01:02', 'DRB1*01:03', 'DRB1*01:04', 'DRB1*01:05', 'DRB1*01:06', 'DRB1*01:07', - 'DRB1*01:08', 'DRB1*01:09', 'DRB1*01:10', 'DRB1*01:11', 'DRB1*01:12', 'DRB1*01:13', 'DRB1*01:14', - 'DRB1*01:15', 'DRB1*01:16', 'DRB1*01:17', 'DRB1*01:18', 'DRB1*01:19', 'DRB1*01:20', 'DRB1*01:21', - 'DRB1*01:22', 'DRB1*01:23', 'DRB1*01:24', 'DRB1*01:25', 'DRB1*01:26', 'DRB1*01:27', 'DRB1*01:28', - 'DRB1*01:29', 'DRB1*01:30', 'DRB1*01:31', 'DRB1*01:32', 'DRB1*01:34', 'DRB1*01:35', 'DRB1*01:36', - 'DRB1*03:01', 'DRB1*03:02', 'DRB1*03:03', 'DRB1*03:04', 'DRB1*03:05', 'DRB1*03:06', 'DRB1*03:07', - 'DRB1*03:08', 'DRB1*03:09', 'DRB1*03:10', 'DRB1*03:11', 'DRB1*03:12', 'DRB1*03:13', 'DRB1*03:14', - 'DRB1*03:15', 'DRB1*03:16', 'DRB1*03:17', 'DRB1*03:18', 'DRB1*03:19', 'DRB1*03:20', 'DRB1*03:21', - 'DRB1*03:22', 'DRB1*03:23', 'DRB1*03:24', 'DRB1*03:25', 'DRB1*03:26', 'DRB1*03:27', 'DRB1*03:28', - 'DRB1*03:29', 'DRB1*03:30', 'DRB1*03:31', 'DRB1*03:32', 'DRB1*03:33', 'DRB1*03:34', 'DRB1*03:35', - 'DRB1*03:36', 'DRB1*03:37', 'DRB1*03:38', 'DRB1*03:39', 'DRB1*03:40', 'DRB1*03:41', 'DRB1*03:42', - 'DRB1*03:43', 'DRB1*03:44', 'DRB1*03:45', 'DRB1*03:46', 'DRB1*03:47', 'DRB1*03:48', 'DRB1*03:49', - 'DRB1*03:50', 'DRB1*03:51', 'DRB1*03:52', 'DRB1*03:53', 'DRB1*03:54', 'DRB1*03:55', 'DRB1*03:56', - 'DRB1*03:57', 'DRB1*03:58', 'DRB1*03:59', 'DRB1*03:60', 'DRB1*03:61', 'DRB1*03:62', 'DRB1*03:63', - 'DRB1*03:64', 'DRB1*04:01', 'DRB1*04:02', 'DRB1*04:03', 'DRB1*04:04', 'DRB1*04:05', 'DRB1*04:06', - 'DRB1*04:07', 'DRB1*04:08', 'DRB1*04:09', 'DRB1*04:10', 'DRB1*04:11', 'DRB1*04:12', 'DRB1*04:13', - 'DRB1*04:14', 'DRB1*04:15', 'DRB1*04:16', 'DRB1*04:17', 'DRB1*04:18', 'DRB1*04:19', 'DRB1*04:20', - 'DRB1*04:21', 'DRB1*04:22', 'DRB1*04:23', 'DRB1*04:24', 'DRB1*04:25', 'DRB1*04:26', 'DRB1*04:27', - 'DRB1*04:28', 'DRB1*04:29', 'DRB1*04:30', 'DRB1*04:31', 'DRB1*04:32', 'DRB1*04:33', 'DRB1*04:34', - 'DRB1*04:35', 'DRB1*04:36', 'DRB1*04:37', 'DRB1*04:38', 'DRB1*04:39', 'DRB1*04:40', 'DRB1*04:41', - 'DRB1*04:42', 'DRB1*04:43', 'DRB1*04:44', 'DRB1*04:45', 'DRB1*04:46', 'DRB1*04:47', 'DRB1*04:48', - 'DRB1*04:49', 'DRB1*04:50', 'DRB1*04:51', 'DRB1*04:52', 'DRB1*04:53', 'DRB1*04:54', 'DRB1*04:55', - 'DRB1*04:56', 'DRB1*04:57', 'DRB1*04:58', 'DRB1*04:59', 'DRB1*04:60', 'DRB1*04:61', 'DRB1*04:62', - 'DRB1*04:63', 'DRB1*04:64', 'DRB1*04:65', 'DRB1*04:66', 'DRB1*04:67', 'DRB1*04:68', 'DRB1*04:69', - 'DRB1*04:70', 'DRB1*04:71', 'DRB1*04:72', 'DRB1*04:73', 'DRB1*04:74', 'DRB1*04:75', 'DRB1*04:76', - 'DRB1*04:77', 'DRB1*04:78', 'DRB1*04:79', 'DRB1*04:80', 'DRB1*04:82', 'DRB1*04:83', 'DRB1*04:84', - 'DRB1*04:85', 'DRB1*04:86', 'DRB1*04:87', 'DRB1*04:88', 'DRB1*04:89', 'DRB1*04:90', 'DRB1*04:91', - 'DRB1*04:92', 'DRB1*04:93', 'DRB1*04:95', 'DRB1*04:96', 'DRB1*04:97', 'DRB1*04:98', 'DRB1*07:01', - 'DRB1*07:03', 'DRB1*07:04', 'DRB1*07:05', 'DRB1*07:06', 'DRB1*07:07', 'DRB1*07:08', 'DRB1*07:09', - 'DRB1*07:11', 'DRB1*07:12', 'DRB1*07:13', 'DRB1*07:14', 'DRB1*07:15', 'DRB1*07:16', 'DRB1*07:17', - 'DRB1*07:18', 'DRB1*07:19', 'DRB1*07:20', 'DRB1*07:21', 'DRB1*08:01', 'DRB1*08:02', 'DRB1*08:03', - 'DRB1*08:04', 'DRB1*08:05', 'DRB1*08:06', 'DRB1*08:07', 'DRB1*08:08', 'DRB1*08:09', 'DRB1*08:10', - 'DRB1*08:11', 'DRB1*08:12', 'DRB1*08:13', 'DRB1*08:14', 'DRB1*08:15', 'DRB1*08:16', 'DRB1*08:17', - 'DRB1*08:18', 'DRB1*08:19', 'DRB1*08:20', 'DRB1*08:21', 'DRB1*08:22', 'DRB1*08:23', 'DRB1*08:24', - 'DRB1*08:25', 'DRB1*08:26', 'DRB1*08:27', 'DRB1*08:28', 'DRB1*08:29', 'DRB1*08:30', 'DRB1*08:31', - 'DRB1*08:32', 'DRB1*08:33', 'DRB1*08:34', 'DRB1*08:35', 'DRB1*08:36', 'DRB1*08:37', 'DRB1*08:38', - 'DRB1*08:39', 'DRB1*08:40', 'DRB1*08:41', 'DRB1*08:42', 'DRB1*08:43', 'DRB1*08:44', 'DRB1*08:45', - 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'DRB1*11:56', 'DRB1*11:57', 'DRB1*11:58', 'DRB1*11:59', 'DRB1*11:60', 'DRB1*11:61', 'DRB1*11:62', - 'DRB1*11:63', 'DRB1*11:64', 'DRB1*11:65', 'DRB1*11:66', 'DRB1*11:67', 'DRB1*11:68', 'DRB1*11:69', - 'DRB1*11:70', 'DRB1*11:72', 'DRB1*11:73', 'DRB1*11:74', 'DRB1*11:75', 'DRB1*11:76', 'DRB1*11:77', - 'DRB1*11:78', 'DRB1*11:79', 'DRB1*11:80', 'DRB1*11:81', 'DRB1*11:82', 'DRB1*11:83', 'DRB1*11:84', - 'DRB1*11:85', 'DRB1*11:86', 'DRB1*11:87', 'DRB1*11:88', 'DRB1*11:89', 'DRB1*11:90', 'DRB1*11:91', - 'DRB1*11:92', 'DRB1*11:93', 'DRB1*11:94', 'DRB1*11:95', 'DRB1*11:96', 'DRB1*11:97', 'DRB1*11:98', - 'DRB1*11:99', 'DRB1*12:01', 'DRB1*12:02', 'DRB1*12:03', 'DRB1*12:04', 'DRB1*12:05', 'DRB1*12:06', - 'DRB1*12:07', 'DRB1*12:08', 'DRB1*12:09', 'DRB1*12:10', 'DRB1*12:11', 'DRB1*12:12', 'DRB1*12:13', - 'DRB1*12:14', 'DRB1*12:15', 'DRB1*12:16', 'DRB1*12:17', 'DRB1*12:18', 'DRB1*12:19', 'DRB1*12:20', - 'DRB1*12:21', 'DRB1*12:22', 'DRB1*12:23', 'DRB1*12:25', 'DRB1*12:26', 'DRB1*12:27', 'DRB1*13:01', - 'DRB1*13:02', 'DRB1*13:03', 'DRB1*13:04', 'DRB1*13:05', 'DRB1*13:06', 'DRB1*13:07', 'DRB1*13:08', - 'DRB1*13:09', 'DRB1*13:10', 'DRB1*13:11', 'DRB1*13:12', 'DRB1*13:13', 'DRB1*13:14', 'DRB1*13:15', - 'DRB1*13:16', 'DRB1*13:17', 'DRB1*13:18', 'DRB1*13:19', 'DRB1*13:20', 'DRB1*13:21', 'DRB1*13:22', - 'DRB1*13:23', 'DRB1*13:24', 'DRB1*13:25', 'DRB1*13:26', 'DRB1*13:27', 'DRB1*13:28', 'DRB1*13:29', - 'DRB1*13:30', 'DRB1*13:31', 'DRB1*13:32', 'DRB1*13:33', 'DRB1*13:34', 'DRB1*13:35', 'DRB1*13:36', - 'DRB1*13:37', 'DRB1*13:38', 'DRB1*13:39', 'DRB1*13:40', 'DRB1*13:41', 'DRB1*13:42', 'DRB1*13:43', - 'DRB1*13:44', 'DRB1*13:45', 'DRB1*13:46', 'DRB1*13:47', 'DRB1*13:48', 'DRB1*13:49', 'DRB1*13:50', - 'DRB1*13:51', 'DRB1*13:52', 'DRB1*13:53', 'DRB1*13:54', 'DRB1*13:55', 'DRB1*13:56', 'DRB1*13:57', - 'DRB1*13:58', 'DRB1*13:59', 'DRB1*13:60', 'DRB1*13:61', 'DRB1*13:62', 'DRB1*13:63', 'DRB1*13:64', - 'DRB1*13:65', 'DRB1*13:66', 'DRB1*13:67', 'DRB1*13:68', 'DRB1*13:69', 'DRB1*13:70', 'DRB1*13:71', - 'DRB1*13:72', 'DRB1*13:73', 'DRB1*13:74', 'DRB1*13:75', 'DRB1*13:76', 'DRB1*13:77', 'DRB1*13:78', - 'DRB1*13:79', 'DRB1*13:80', 'DRB1*13:81', 'DRB1*13:82', 'DRB1*13:83', 'DRB1*13:84', 'DRB1*13:85', - 'DRB1*13:86', 'DRB1*13:87', 'DRB1*13:88', 'DRB1*13:89', 'DRB1*13:90', 'DRB1*13:91', 'DRB1*13:92', - 'DRB1*13:93', 'DRB1*13:94', 'DRB1*13:95', 'DRB1*13:96', 'DRB1*13:97', 'DRB1*13:98', 'DRB1*13:99', - 'DRB1*14:01', 'DRB1*14:02', 'DRB1*14:03', 'DRB1*14:04', 'DRB1*14:05', 'DRB1*14:06', 'DRB1*14:07', - 'DRB1*14:08', 'DRB1*14:09', 'DRB1*14:10', 'DRB1*14:11', 'DRB1*14:12', 'DRB1*14:13', 'DRB1*14:14', - 'DRB1*14:15', 'DRB1*14:16', 'DRB1*14:17', 'DRB1*14:18', 'DRB1*14:19', 'DRB1*14:20', 'DRB1*14:21', - 'DRB1*14:22', 'DRB1*14:23', 'DRB1*14:24', 'DRB1*14:25', 'DRB1*14:26', 'DRB1*14:27', 'DRB1*14:28', - 'DRB1*14:29', 'DRB1*14:30', 'DRB1*14:31', 'DRB1*14:32', 'DRB1*14:33', 'DRB1*14:34', 'DRB1*14:35', - 'DRB1*14:36', 'DRB1*14:37', 'DRB1*14:38', 'DRB1*14:39', 'DRB1*14:40', 'DRB1*14:41', 'DRB1*14:42', - 'DRB1*14:43', 'DRB1*14:44', 'DRB1*14:45', 'DRB1*14:46', 'DRB1*14:47', 'DRB1*14:48', 'DRB1*14:49', - 'DRB1*14:50', 'DRB1*14:51', 'DRB1*14:52', 'DRB1*14:53', 'DRB1*14:54', 'DRB1*14:55', 'DRB1*14:56', - 'DRB1*14:57', 'DRB1*14:58', 'DRB1*14:59', 'DRB1*14:60', 'DRB1*14:61', 'DRB1*14:62', 'DRB1*14:63', - 'DRB1*14:64', 'DRB1*14:65', 'DRB1*14:67', 'DRB1*14:68', 'DRB1*14:69', 'DRB1*14:70', 'DRB1*14:71', - 'DRB1*14:72', 'DRB1*14:73', 'DRB1*14:74', 'DRB1*14:75', 'DRB1*14:76', 'DRB1*14:77', 'DRB1*14:78', - 'DRB1*14:79', 'DRB1*14:80', 'DRB1*14:81', 'DRB1*14:82', 'DRB1*14:83', 'DRB1*14:84', 'DRB1*14:85', - 'DRB1*14:86', 'DRB1*14:87', 'DRB1*14:88', 'DRB1*14:89', 'DRB1*14:90', 'DRB1*14:91', 'DRB1*14:93', - 'DRB1*14:94', 'DRB1*14:95', 'DRB1*14:96', 'DRB1*14:97', 'DRB1*14:98', 'DRB1*14:99', 'DRB1*15:01', - 'DRB1*15:02', 'DRB1*15:03', 'DRB1*15:04', 'DRB1*15:05', 'DRB1*15:06', 'DRB1*15:07', 'DRB1*15:08', - 'DRB1*15:09', 'DRB1*15:10', 'DRB1*15:11', 'DRB1*15:12', 'DRB1*15:13', 'DRB1*15:14', 'DRB1*15:15', - 'DRB1*15:16', 'DRB1*15:18', 'DRB1*15:19', 'DRB1*15:20', 'DRB1*15:21', 'DRB1*15:22', 'DRB1*15:23', - 'DRB1*15:24', 'DRB1*15:25', 'DRB1*15:26', 'DRB1*15:27', 'DRB1*15:28', 'DRB1*15:29', 'DRB1*15:30', - 'DRB1*15:31', 'DRB1*15:32', 'DRB1*15:33', 'DRB1*15:34', 'DRB1*15:35', 'DRB1*15:36', 'DRB1*15:37', - 'DRB1*15:38', 'DRB1*15:39', 'DRB1*15:40', 'DRB1*15:41', 'DRB1*15:42', 'DRB1*15:43', 'DRB1*15:44', - 'DRB1*15:45', 'DRB1*15:46', 'DRB1*15:47', 'DRB1*15:48', 'DRB1*15:49', 'DRB1*15:51', 'DRB1*15:52', - 'DRB1*15:53', 'DRB1*15:54', 'DRB1*15:55', 'DRB1*15:56', 'DRB1*15:57', 'DRB1*16:01', 'DRB1*16:02', - 'DRB1*16:03', 'DRB1*16:04', 'DRB1*16:05', 'DRB1*16:07', 'DRB1*16:08', 'DRB1*16:09', 'DRB1*16:10', - 'DRB1*16:11', 'DRB1*16:12', 'DRB1*16:14', 'DRB1*16:15', 'DRB1*16:16', 'DRB1*16:17', 'DRB1*16:18', - 'DRB3*01:01', 'DRB3*01:02', 'DRB3*01:03', 'DRB3*01:04', 'DRB3*01:05', 'DRB3*01:06', 'DRB3*01:07', - 'DRB3*01:08', 'DRB3*01:09', 'DRB3*01:10', 'DRB3*01:11', 'DRB3*01:12', 'DRB3*01:13', 'DRB3*01:14', - 'DRB3*01:15', 'DRB3*02:01', 'DRB3*02:02', 'DRB3*02:03', 'DRB3*02:04', 'DRB3*02:05', 'DRB3*02:06', - 'DRB3*02:07', 'DRB3*02:08', 'DRB3*02:09', 'DRB3*02:10', 'DRB3*02:11', 'DRB3*02:12', 'DRB3*02:13', - 'DRB3*02:14', 'DRB3*02:15', 'DRB3*02:16', 'DRB3*02:17', 'DRB3*02:18', 'DRB3*02:19', 'DRB3*02:20', - 'DRB3*02:21', 'DRB3*02:22', 'DRB3*02:23', 'DRB3*02:24', 'DRB3*02:25', 'DRB3*02:26', 'DRB3*02:27', - 'DRB3*02:28', 'DRB3*03:01', 'DRB3*03:02', 'DRB3*03:03', 'DRB4*01:01', 'DRB4*01:03', 'DRB4*01:04', - 'DRB4*01:05', 'DRB4*01:06', 'DRB4*01:07', 'DRB4*01:08', 'DRB5*01:01', 'DRB5*01:02', 'DRB5*01:04', - 'DRB5*01:05', 'DRB5*01:06', 'DRB5*01:07', 'DRB5*01:08', 'DRB5*01:09', 'DRB5*01:11', 'DRB5*01:12', - 'DRB5*01:13', 'DRB5*01:14', 'DRB5*02:02', 'DRB5*02:03', 'DRB5*02:04', 'DRB5*02:05']) - __supported_length = frozenset([9]) - __name = "tepitopepan" - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def name(self): - return self.__name - - @property - def supportedAlleles(self): - return self.__alleles - - @property - def supportedLength(self): - return self.__supported_length - -
[docs] def convert_alleles(self, alleles): - return ["%s_%s%s"%(a.locus, a.supertype, a.subtype) for a in alleles] -
-
[docs] def predict(self, peptides, alleles=None, **kwargs): - return super(TEPITOPEpan, self).predict(peptides, alleles=alleles, **kwargs)
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/EpitopePrediction/SVM.html b/Fred2/doc/_build/html/_modules/Fred2/EpitopePrediction/SVM.html deleted file mode 100644 index 3b189ec6..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/EpitopePrediction/SVM.html +++ /dev/null @@ -1,767 +0,0 @@ - - - - - - - - Fred2.EpitopePrediction.SVM — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.EpitopePrediction.SVM

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: EpitopePrediction.SVM
-   :synopsis: This module contains all SVM-based epitope prediction tools
-.. moduleauthor:: schubert
-
-"""
-import svmlight
-import collections
-import itertools
-import pandas
-import os
-import warnings
-import subprocess
-import pkg_resources
-from tempfile import NamedTemporaryFile
-
-from Fred2.Core.Allele import Allele
-from Fred2.Core.Peptide import Peptide
-from Fred2.Core.Base import AEpitopePrediction, ASVM, AExternal
-from Fred2.Core.Result import EpitopePredictionResult
-from Fred2.Data.UniTope_encodedAlleles import UniTope_encodedAlleles
-
-
-
[docs]class ASVMEpitopePrediction(AEpitopePrediction, ASVM): - """ - implements default prediction routine for SVM based epitope prediction tools - """ - -
[docs] def predict(self, peptides, alleles=None, **kwargs): - - if isinstance(peptides, Peptide): - pep_seqs = {str(peptides):peptides} - else: - if any(not isinstance(p, Peptide) for p in peptides): - raise ValueError("Input is not of type Protein or Peptide") - pep_seqs = {str(p):p for p in peptides} - - if alleles is None: - al = [Allele("HLA-"+a) for a in self.supportedAlleles] - allales_string = {conv_a:a for conv_a, a in itertools.izip(self.convert_alleles(al), al)} - else: - if isinstance(alleles, Allele): - alleles = [alleles] - if any(not isinstance(p, Allele) for p in alleles): - raise ValueError("Input is not of type Allele") - allales_string ={conv_a:a for conv_a, a in itertools.izip(self.convert_alleles(alleles),alleles)} - - #group peptides by length and - result = {} - for length, peps in itertools.groupby(pep_seqs.iterkeys(), key= lambda x: len(x)): - #load svm model - - if length not in self.supportedLength: - warnings.warn("Peptide length of %i is not supported by %s"%(length,self.name)) - continue - - encoding = self.encode(peps) - - for a in allales_string.keys(): - model_path = pkg_resources.resource_filename("Fred2.Data.svms.%s"%self.name, "%s_%i"%(a,length)) - if not os.path.exists(model_path): - warnings.warn("No model exists for peptides of length %i or allele %s."%(length, - allales_string[a].name)) - continue - model = svmlight.read_model(model_path) - - - model = svmlight.read_model(model_path) - pred = svmlight.classify(model, encoding.values()) - result[allales_string[a]] = {} - for pep, score in itertools.izip(encoding.keys(), pred): - result[allales_string[a]][pep_seqs[pep]] = score - - if not result: - raise ValueError("No predictions could be made for given input. Check your " - "epitope length and HLA allele combination.") - df_result = EpitopePredictionResult.from_dict(result) - df_result.index = pandas.MultiIndex.from_tuples([tuple((i, self.name)) for i in df_result.index], - names=['Seq', 'Method']) - return df_result - -
-
[docs]class SVMHC(ASVMEpitopePrediction): - """ - Implements SVMHC epitope prediction for MHC-I alleles (SYFPEITHI models) - - Doennes, P. and Kohlbacher, O. - SVMHC: a server for prediction of MHC-binding peptides. - Nucleic Acids Res, 2006, 34, W194-W197 - - """ - __name = "svmhc" - __alleles = frozenset(['A*02:01', 'A*02:01', 'A*11:01', 'A*11:01', 'A*24:02', 'B*15:01', - 'B*15:01', 'B*18:01', 'B*18:01', 'B*27:05', 'B*35:01', 'B*37:01', - 'B*51:01', 'B*51:01', 'C*04:01']) - __supported_length = frozenset([8, 9, 10]) - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def name(self): - return self.__name - - @property - def supportedAlleles(self): - return self.__alleles - - @property - def supportedLength(self): - return self.__supported_length - -
[docs] def encode(self, peptides): - """ - Here implements a binary sparse encoding of the peptide - - :param peptides: - :return: dict(peptide, (tuple(int, list(tuple(int,float)))) -- dictionary with peptide - as key and feature encoding as value (see svmlight encoding scheme http://svmlight.joachims.org/) - """ - AA = {'A': 1, 'C': 2, 'E': 4, 'D': 3, 'G': 6, 'F': 5, 'I': 8, 'H': 7, 'K': 9, 'M': 11, 'L': 10, 'N': 12, - 'Q': 14, 'P': 13, 'S': 16, 'R': 15, 'T': 17, 'W': 19, 'V': 18, 'Y': 20} - - def __encode(pep): - encoding = [] - offset = 0 - pep_str = str(pep) - for aa in pep_str: - encoding.append((AA[aa]+offset, 1)) - offset += 20 - return 0, encoding - - if isinstance(peptides, collections.Iterable): - return {p:__encode(p) for p in peptides} - else: - return {peptides:__encode(peptides)} -
-
[docs] def convert_alleles(self, alleles): - return ["%s_%s%s"%(a.locus, a.supertype, a.subtype) for a in alleles] - -
-
[docs]class UniTope(ASVMEpitopePrediction): - """ - Implements UniTope prediction for MHC-I - - Feldhahn, M., Toussaint, N. C., Ziehm, M. anf Kohlbacher, O. - UniTope - Prediction of MHC Class I Binding Peptides for All MHC Alleles. - Submitted to Bioinformatics on 09-22-2007. - """ - - __name = "unitope" - __supported_length = frozenset([8, 9, 10]) - __alleles = frozenset(['B*51:43', 'A*11:02', 'C*07:27', 'B*35:55', 'B*49:02', 'A*11:17', - 'B*51:02', 'B*15:61', 'A*33:04', 'C*02:12', 'B*55:07', 'A*24:13', - 'C*01:02', 'A*24:15', 'A*24:59', 'A*11:19', 'B*15:63', 'A*32:06', - 'B*55:05', 'B*47:04', 'B*67:01', 'C*16:09', 'B*53:02', 'B*56:04', - 'B*37:12', 'B*55:03', 'B*39:30', 'C*04:20', 'B*08:21', 'A*74:02', - 'B*53:04', 'B*56:06', 'A*01:06', 'C*03:29', 'B*55:01', 'A*36:03', - 'A*02:87', 'A*24:17', 'A*02:02', 'A*24:50', 'C*03:22', 'C*12:09', - 'A*02:17', 'B*55:08', 'B*44:15', 'B*15:46', 'C*16:02', 'C*03:24', - 'C*07:44', 'A*02:19', 'A*66:01', 'A*01:08', 'B*15:44', 'A*02:77', - 'C*18:02', 'C*07:29', 'B*44:06', 'C*07:21', 'A*66:03', 'A*74:04', - 'A*02:80', 'B*44:11', 'B*15:42', 'A*02:75', 'B*15:65', 'B*44:08', - 'A*02:97', 'A*24:52', 'A*66:05', 'A*74:06', 'C*07:25', 'B*27:02', - 'B*15:40', 'A*02:73', 'B*40:05', 'B*15:67', 'B*58:05', 'A*33:06', - 'B*08:03', 'C*03:26', 'B*15:69', 'A*30:08', 'C*07:09', 'C*06:11', - 'B*18:21', 'B*41:07', 'B*15:91', 'C*15:10', 'C*07:34', 'C*12:06', - 'B*35:39', 'C*06:13', 'B*08:27', 'B*38:01', 'A*31:02', 'C*15:12', - 'B*27:08', 'A*74:08', 'B*13:15', 'A*02:79', 'B*53:06', 'A*25:05', - 'A*03:18', 'B*95:08', 'B*15:83', 'A*24:54', 'B*53:11', 'C*08:11', - 'B*15:05', 'B*53:08', 'B*56:02', 'A*24:66', 'B*38:05', 'B*15:81', - 'A*24:56', 'A*33:09', 'B*51:38', 'B*15:01', 'B*35:58', 'B*15:48', - 'B*35:17', 'B*54:03', 'C*03:04', 'A*02:71', 'B*55:22', 'B*51:14', - 'B*95:06', 'A*68:29', 'B*48:06', 'B*95:21', 'B*18:01', 'C*03:02', - 'A*02:36', 'B*55:09', 'B*51:16', 'B*95:04', 'A*24:58', 'A*03:14', - 'A*02:39', 'B*35:25', 'C*12:04', 'B*40:25', 'B*51:18', 'B*35:50', - 'C*07:22', 'B*15:10', 'A*03:16', 'A*26:14', 'A*31:04', 'C*15:14', - 'B*35:15', 'B*44:48', 'B*27:28', 'B*39:36', 'A*03:10', 'A*31:06', - 'C*15:16', 'A*02:21', 'A*33:01', 'B*15:87', 'B*40:53', 'B*35:36', - 'B*18:07', 'A*02:42', 'B*44:40', 'B*15:12', 'A*30:06', 'B*27:05', - 'B*35:30', 'C*07:06', 'C*05:11', 'B*78:02', 'B*44:42', 'B*07:37', - 'B*27:07', 'B*40:21', 'B*38:07', 'A*01:09', 'B*18:03', 'C*07:24', - 'A*02:29', 'A*30:02', 'B*27:01', 'C*07:45', 'A*26:04', 'B*95:02', - 'B*15:85', 'B*40:51', 'A*74:01', 'B*35:11', 'C*03:14', 'C*03:06', - 'B*27:03', 'C*07:43', 'B*55:20', 'A*26:06', 'B*38:14', 'B*08:22', - 'B*35:32', 'C*07:04', 'A*26:08', 'B*08:20', 'C*16:04', 'A*03:12', - 'B*51:32', 'B*35:19', 'B*07:02', 'B*18:08', 'A*24:25', 'C*16:06', - 'A*02:55', 'A*02:10', 'B*51:30', 'A*02:25', 'A*23:14', 'A*68:26', - 'B*13:10', 'A*29:11', 'B*27:18', 'A*02:57', 'A*02:12', 'A*26:22', - 'B*40:57', 'A*02:27', 'A*23:12', 'A*02:99', 'B*44:44', 'A*02:09', - 'A*02:51', 'A*02:14', 'A*26:20', 'B*08:28', 'B*35:34', 'C*07:02', - 'A*23:10', 'B*27:12', 'A*92:09', 'B*44:46', 'B*07:33', 'A*02:07', - 'C*17:02', 'B*58:12', 'C*02:02', 'B*40:39', 'A*33:05', 'A*74:03', - 'C*05:14', 'B*48:08', 'B*13:01', 'B*27:35', 'B*15:34', 'B*45:03', - 'B*44:18', 'B*15:19', 'A*33:03', 'B*39:22', 'B*13:03', 'B*08:26', - 'B*15:32', 'B*45:05', 'B*07:38', 'B*53:01', 'A*02:22', 'A*92:03', - 'B*39:20', 'C*01:10', 'B*08:24', 'C*16:08', 'B*53:03', 'B*51:36', - 'B*56:15', 'A*74:09', 'B*39:26', 'A*29:13', 'A*24:21', 'A*02:69', - 'B*53:05', 'A*26:28', 'C*03:28', 'B*15:11', 'A*26:26', 'B*35:65Q', - 'A*24:05', 'B*48:07', 'B*13:02', 'A*11:25', 'A*02:05', 'C*03:21', - 'A*02:90', 'A*24:03', 'A*02:37', 'B*50:01', 'A*02:76', 'A*02:03', - 'C*03:23', 'B*08:29', 'A*02:16', 'A*92:07', 'A*02:74', 'C*02:06', - 'B*07:26', 'A*02:01', 'C*03:25', 'C*05:10', 'B*45:07', 'A*74:05', - 'A*02:18', 'A*26:24', 'B*08:17', 'A*92:01', 'A*02:72', 'C*02:04', - 'A*33:07', 'C*03:27', 'B*47:02', 'A*74:07', 'B*47:01', 'B*15:36', - 'B*15:17', 'B*13:09', 'A*01:17', 'C*04:16', 'B*53:07', 'B*15:04', - 'A*30:09', 'B*40:49', 'B*40:37', 'B*18:20', 'B*07:10', 'B*14:01', - 'B*27:09', 'C*04:14', 'B*53:09', 'B*40:04', 'A*02:78', 'B*15:58', - 'B*40:31', 'B*18:22', 'B*07:12', 'B*39:24', 'B*13:06', 'A*02:92', - 'B*39:10', 'A*03:01', 'A*24:26', 'B*40:33', 'B*18:24', 'A*32:02', - 'B*95:09', 'B*53:10', 'B*15:99', 'A*30:07', 'B*13:11', 'A*24:28', - 'A*24:07', 'B*15:39', 'C*16:01', 'B*07:28', 'B*39:28', 'B*78:05', - 'A*33:08', 'B*52:07', 'A*11:23', 'A*26:01', 'B*35:60', 'B*95:20', - 'B*07:51', 'B*40:08', 'C*03:07', 'B*35:66', 'B*40:44', 'B*95:22', - 'A*03:15', 'B*15:74', 'B*39:06', 'B*40:28', 'C*03:05', 'B*37:07', - 'B*51:34', 'B*95:05', 'B*13:04', 'A*26:02', 'A*03:17', 'A*01:13', - 'C*03:03', 'C*08:08', 'B*37:05', 'A*26:03', 'A*02:58', 'B*15:78', - 'B*44:28', 'C*17:04', 'B*58:14', 'B*55:12', 'C*04:18', 'B*51:19', - 'A*24:08', 'B*15:31', 'A*30:01', 'A*29:15', 'B*27:06', 'B*15:13', - 'C*08:05', 'C*04:11', 'B*40:52', 'A*03:19', 'B*44:20', 'B*18:06', - 'B*15:55', 'B*07:36', 'C*08:07', 'B*38:08', 'B*40:50', 'A*02:52', - 'B*78:01', 'C*14:05', 'B*15:57', 'C*05:12', 'C*06:08', 'B*37:09', - 'B*40:02', 'B*56:05', 'B*95:01', 'B*08:23', 'A*26:05', 'B*78:03', - 'B*18:02', 'B*15:51', 'B*15:72', 'A*30:03', 'B*95:07', 'B*45:02', - 'A*26:07', 'B*35:62', 'B*15:53', 'B*15:70', 'B*39:02', 'B*48:13', - 'C*03:09', 'B*35:57', 'B*51:33', 'A*02:93', 'A*31:05', 'B*54:10', - 'B*37:01', 'B*18:09', 'A*24:22', 'A*02:96', 'C*01:11', 'A*02:95', - 'A*80:01', 'B*15:84', 'A*24:24', 'C*02:15', 'B*15:38', 'C*12:12', - 'A*03:13', 'A*23:13', 'B*56:17', 'A*24:43', 'B*58:13', 'C*17:03', - 'B*39:41', 'C*08:09', 'C*04:15', 'B*40:56', 'A*02:54', 'B*51:31', - 'A*31:09', 'A*92:08', 'B*15:92', 'A*24:41', 'B*27:04', 'B*07:32', - 'C*04:13', 'B*55:19', 'B*40:54', 'A*02:56', 'A*26:23', 'A*24:62', - 'B*45:04', 'B*07:39', 'B*15:35', 'C*04:03', 'C*08:02', 'B*40:38', - 'B*52:08', 'B*48:11', 'C*05:15', 'B*15:33', 'C*12:18', 'B*40:58', - 'A*92:02', 'B*39:23', 'A*11:04', 'C*01:13', 'B*40:34', 'B*51:37', - 'B*48:15', 'B*40:12', 'B*41:01', 'A*68:28', 'A*11:22', 'B*08:25', - 'C*07:18', 'B*40:36', 'A*26:29', 'C*07:36', 'B*35:48', 'B*39:27', - 'A*02:91', 'A*24:20', 'A*68:24', 'B*35:43', 'A*31:13', 'C*15:03', - 'A*24:04', 'A*26:21', 'B*51:03', 'A*24:29', 'C*12:15', 'B*35:45', - 'A*11:11', 'A*30:04', 'A*24:55', 'A*31:11', 'A*24:02', 'A*26:27', - 'A*24:57', 'B*50:04', 'B*51:28', 'A*68:06', 'B*15:16', 'B*51:39', - 'B*15:03', 'A*68:13', 'A*02:28', 'A*92:04', 'B*15:96', 'B*15:82', - 'A*68:04', 'A*32:13', 'B*15:18', 'B*15:37', 'A*68:15', 'A*92:06', - 'B*39:14', 'B*35:47', 'C*07:39', 'B*40:30', 'B*52:04', 'B*07:13', - 'A*34:01', 'B*82:02', 'C*04:19', 'B*55:13', 'A*32:03', 'B*58:11', - 'A*34:03', 'B*50:02', 'B*51:13', 'A*01:14', 'B*13:08', 'B*15:15', - 'C*04:17', 'A*01:20', 'A*24:38', 'C*12:17', 'B*39:29', 'B*78:04', - 'C*07:31', 'B*40:07', 'B*39:38Q', 'C*15:07', 'B*40:32', 'B*35:02', - 'C*06:02', 'B*44:21', 'B*35:41', 'B*46:05', 'B*40:01', 'B*46:01', - 'B*44:51', 'A*24:06', 'B*07:17', 'A*24:27', 'A*68:02', 'B*07:50', - 'B*40:66', 'B*38:02', 'B*55:15', 'A*68:17', 'C*07:20', 'B*13:16', - 'B*35:61', 'B*35:23', 'C*07:11', 'B*18:18', 'B*38:03', 'A*68:19', - 'B*37:06', 'B*13:14', 'B*35:67', 'A*68:33', 'B*14:02', 'C*07:40', - 'B*57:05', 'B*51:46', 'A*29:02', 'B*55:11', 'B*54:09', 'B*37:04', - 'B*35:04', 'B*15:30', 'B*07:19', 'B*57:07', 'A*01:12', 'B*15:75', - 'B*37:02', 'A*02:38', 'A*32:07', 'A*32:12', 'A*24:64', 'B*57:01', - 'B*44:29', 'B*07:34', 'A*24:47', 'B*35:21', 'C*07:13', 'B*15:98', - 'B*53:12', 'B*15:56', 'C*14:04', 'A*68:08', 'B*40:03', 'A*34:06', - 'A*29:14', 'A*02:30', 'C*08:06', 'B*44:24', 'C*04:10', 'B*15:50', - 'C*14:02', 'B*52:02', 'B*39:01', 'A*02:65', 'A*24:44', 'B*37:08', - 'B*35:08', 'C*08:12', 'C*08:04', 'B*39:03', 'A*02:67', 'B*48:12', - 'B*15:73', 'B*35:29', 'A*02:34', 'A*24:23', 'B*13:12', 'A*68:31', - 'B*44:25', 'B*40:09', 'A*02:61', 'B*48:10', 'B*15:71', 'B*35:27', - 'C*07:15', 'A*74:10', 'B*39:37', 'B*35:63', 'A*02:84', 'B*15:52', - 'B*39:34', 'B*58:01', 'C*12:13', 'B*57:03', 'C*03:15', 'C*07:35', - 'A*24:65', 'C*06:10', 'B*58:07', 'C*12:11', 'B*40:13', 'C*03:17', - 'B*35:69', 'A*02:20', 'B*45:06', 'A*24:67', 'B*95:18', 'A*30:18', - 'B*48:02', 'B*55:18', 'C*04:12', 'A*30:12', 'C*03:19', 'C*14:08', - 'A*24:61', 'A*66:02', 'A*34:02', 'A*29:10', 'B*40:48', 'B*56:18', - 'B*57:09', 'A*30:10', 'A*68:27', 'B*15:54', 'C*14:06', 'A*24:63', - 'A*34:04', 'A*29:12', 'B*52:01', 'B*39:08', 'B*48:16', 'A*30:16', - 'A*11:05', 'B*52:06', 'A*31:12', 'B*07:35', 'B*51:29', 'B*56:11', - 'C*03:32', 'C*08:03', 'C*12:05', 'C*06:09', 'A*68:20', 'B*51:24', - 'C*03:30', 'C*12:19', 'B*95:16', 'A*02:63', 'A*30:13', 'B*54:07', - 'A*02:49', 'B*52:09', 'B*40:15', 'A*11:07', 'B*07:07', 'B*51:07', - 'B*46:04', 'B*35:18', 'B*48:14', 'B*27:26', 'A*68:25', 'A*31:07', - 'C*03:34', 'C*01:12', 'A*29:16', 'C*03:13', 'B*35:49', 'C*07:37', - 'B*27:21', 'B*35:64', 'C*15:02', 'B*46:06', 'B*58:08', 'B*07:23', - 'C*07:26', 'B*44:37', 'C*12:14', 'B*41:08', 'A*02:47', 'B*56:14', - 'B*42:07', 'C*06:03', 'A*69:01', 'B*07:25', 'B*27:25', 'B*08:11', - 'B*95:10', 'A*68:10', 'B*40:65', 'A*32:11Q', 'B*15:95', 'B*42:05', - 'B*35:42', 'A*25:01', 'A*11:08', 'C*02:03', 'C*08:01', 'B*95:12', - 'C*02:05', 'B*41:04', 'C*02:08', 'B*56:10', 'B*40:11', 'B*35:44', - 'B*38:11', 'A*11:27', 'B*51:26', 'B*14:03', 'B*95:14', 'A*68:14', - 'B*41:06', 'B*51:23', 'C*07:38', 'C*06:05', 'C*16:07', 'A*26:12', - 'B*27:16', 'B*18:11', 'B*27:24', 'B*42:08', 'B*35:01', 'B*07:16', - 'A*02:45', 'B*54:06', 'A*24:39', 'B*38:06', 'A*03:24', 'B*18:13', - 'A*03:06', 'B*35:03', 'C*07:19', 'B*82:01', 'A*11:09', 'A*29:04', - 'B*81:01', 'B*44:50', 'A*03:04', 'C*15:06', 'B*46:02', 'B*58:04', - 'A*11:14', 'B*38:13', 'C*12:10', 'B*08:14', 'B*40:63', 'B*27:32', - 'A*03:02', 'C*15:04', 'B*07:21', 'C*12:16', 'B*40:61', 'A*02:41', - 'C*07:30', 'A*32:04', 'B*13:17', 'B*27:15', 'B*52:10', 'A*34:08', - 'B*38:15', 'C*02:10', 'B*40:59', 'B*46:08', 'C*07:14', 'B*35:26', - 'C*05:06', 'B*27:13', 'B*07:03', 'A*68:12', 'A*36:02', 'B*57:04', - 'B*08:18', 'A*03:08', 'A*68:03', 'C*07:16', 'B*35:24', 'B*08:01', - 'A*68:16', 'B*07:15', 'B*57:06', 'B*08:16', 'B*27:34', 'C*15:08', - 'A*68:01', 'C*07:10', 'B*35:22', 'B*39:32', 'B*15:97', 'B*35:05', - 'B*81:02', 'B*41:02', 'B*44:22', 'C*03:11', 'B*40:43', 'B*27:36', - 'C*05:01', 'C*07:12', 'B*35:20', 'B*08:05', 'B*35:07', 'B*41:05', - 'B*44:12', 'B*27:11', 'B*35:09', 'B*14:06', 'C*12:08', 'B*07:44', - 'B*14:05', 'B*27:27', 'B*57:08', 'A*24:31', 'B*51:08', 'B*15:80', - 'B*59:01', 'A*34:07', 'B*55:14', 'B*44:35', 'B*15:86', 'A*24:37', - 'C*04:05', 'B*67:02', 'A*31:10', 'A*02:64', 'B*56:13', 'C*05:04', - 'C*14:03', 'B*35:37', 'B*13:13', 'B*27:19', 'A*26:18', 'B*39:09', - 'A*02:66', 'B*49:04', 'C*02:14', 'A*02:35', 'A*68:09', 'B*15:76', - 'A*74:11', 'B*27:17', 'B*15:02', 'B*39:04', 'A*02:60', 'C*02:16', - 'B*51:20', 'B*35:28', 'B*08:12', 'B*15:09', 'B*42:01', 'B*08:07', - 'A*03:20', 'B*35:46', 'A*25:04', 'A*32:10', 'A*02:59', 'B*35:68', - 'B*08:09', 'B*95:19', 'B*40:29', 'A*03:22', 'B*58:06', 'B*51:35', - 'A*30:14L', 'B*39:16', 'B*15:89', 'B*57:02', 'A*34:05', 'B*15:06', - 'B*44:30', 'A*11:29', 'A*11:26', 'B*40:10', 'B*18:12', 'B*15:68', - 'B*40:47', 'A*68:07', 'B*54:02', 'B*44:32', 'B*42:04', 'B*39:05', - 'B*35:31', 'B*40:16', 'B*18:14', 'B*44:26', 'C*03:18', 'C*04:01', - 'B*07:08', 'B*08:10', 'B*07:47', 'B*52:03', 'C*03:31', 'C*01:04', - 'A*02:62', 'B*51:06', 'B*95:15', 'B*35:72', 'B*51:22', 'C*04:08', - 'C*06:04', 'A*68:21', 'C*01:06', 'A*11:10', 'A*24:46', 'B*95:17', - 'A*26:30', 'C*02:09', 'B*55:16', 'B*39:18', 'C*05:13', 'A*23:05', - 'A*11:12', 'B*47:03', 'C*05:09', 'A*26:32', 'A*02:48', 'B*44:38', - 'B*51:45', 'B*07:45', 'A*02:68', 'B*37:11', 'C*03:12', 'A*30:19', - 'A*32:14', 'B*15:28', 'A*11:20', 'A*11:06', 'A*68:23', 'A*03:26', - 'B*58:02', 'B*07:31', 'C*03:35', 'B*40:23', 'C*03:10', 'B*15:23', - 'B*47:05', 'B*42:06', 'B*40:14', 'A*26:16', 'A*01:01', 'B*07:22', - 'A*30:11', 'B*27:30', 'C*07:41', 'B*15:25', 'A*11:15', 'C*05:02', - 'B*38:12', 'A*01:03', 'A*23:04', 'B*07:24', 'A*30:17', 'B*58:09', - 'C*08:13', 'A*31:15', 'A*02:44', 'C*06:06', 'B*42:02', 'B*40:18', - 'C*15:05', 'B*44:16', 'B*07:43', 'B*44:27', 'B*38:10', 'C*01:08', - 'B*44:03', 'A*30:15', 'B*40:26', 'B*44:36', 'B*40:64', 'A*68:36', - 'B*55:10', 'B*44:14', 'B*18:05', 'A*32:01', 'B*15:93', 'B*44:05', - 'B*95:13', 'B*35:70', 'B*08:31', 'C*04:06', 'A*24:34', 'B*56:09', - 'B*39:12', 'C*01:03', 'B*15:77', 'B*27:31', 'B*35:54', 'A*24:51', - 'A*24:10', 'B*42:09', 'B*27:20', 'B*15:14', 'B*55:04', 'B*07:14', - 'B*14:04', 'B*51:05', 'B*35:52', 'B*51:42', 'C*02:07', 'B*51:17', - 'A*03:07', 'B*18:10', 'A*11:16', 'B*55:02', 'A*02:40', 'B*40:62', - 'A*11:01', 'A*24:14', 'A*03:05', 'B*38:04', 'A*11:18', 'B*15:62', - 'A*02:46', 'B*40:06', 'B*51:09', 'B*07:41', 'B*15:21', 'A*02:89', - 'B*39:19', 'A*01:07', 'B*57:10', 'B*07:20', 'B*07:11', 'C*03:33', - 'C*02:11', 'B*49:01', 'B*15:45', 'B*44:33', 'A*23:01', 'A*24:33', - 'B*44:07', 'B*48:09', 'B*07:04', 'B*40:68', 'B*07:29', 'B*44:34', - 'C*08:14', 'B*15:43', 'A*23:03', 'B*44:09', 'B*39:31', 'A*29:05', - 'B*15:07', 'A*02:33', 'B*27:14', 'B*55:24', 'A*03:09', 'B*35:13', - 'A*25:03', 'B*40:55', 'B*08:02', 'B*48:05', 'B*15:64', 'A*29:06', - 'B*41:03', 'A*02:86', 'C*01:07', 'C*03:08', 'A*26:17', 'C*02:13', - 'B*49:03', 'B*08:04', 'A*29:09', 'B*15:66', 'B*15:27', 'B*44:13', - 'B*27:10', 'A*66:04', 'C*01:05', 'B*51:01', 'A*32:08', 'B*35:56', - 'B*40:40', 'A*02:81', 'C*15:11', 'A*31:01', 'A*24:30', 'C*07:17', - 'C*12:07', 'B*15:60', 'B*51:10', 'C*07:08', 'A*23:09', 'B*38:09', - 'C*04:04', 'A*24:68', 'B*07:30', 'B*40:27', 'A*68:35', 'B*54:01', - 'B*35:38', 'B*56:01', 'B*56:12', 'A*26:10', 'A*26:15', 'B*55:17', - 'A*02:70', 'B*51:21', 'B*49:05', 'B*15:49', 'B*56:03', 'A*25:02', - 'C*05:03', 'A*29:03', 'A*02:31', 'A*26:19', 'A*31:03', 'A*26:13', - 'C*02:17', 'B*15:47', 'B*39:35', 'B*51:15', 'B*35:59', 'C*05:05', - 'A*68:22', 'A*29:01', 'B*39:11', 'B*07:06', 'A*68:32', 'B*73:01', - 'B*07:27', 'B*48:01', 'B*52:05', 'A*01:19', 'C*04:23', 'A*66:06', - 'A*23:06', 'B*35:16', 'A*31:08', 'B*40:42', 'B*44:47', 'B*55:23', - 'C*05:08', 'C*04:21', 'B*39:17', 'B*35:14', 'B*39:33', 'B*08:13', - 'C*12:02', 'B*15:08', 'B*51:12', 'A*03:23', 'B*08:06', 'B*18:15', - 'B*39:15', 'C*15:15', 'A*32:09', 'B*40:46', 'A*24:49', 'C*12:03', - 'B*40:20', 'A*11:28', 'B*39:39', 'B*48:03', 'B*45:01', 'C*06:07', - 'B*39:13', 'C*15:17', 'B*15:88', 'A*36:01', 'A*24:32', 'B*07:09', - 'B*44:49', 'B*95:03', 'A*02:50', 'B*27:29', 'B*44:31', 'C*07:23', - 'B*35:51', 'A*26:31', 'C*07:28', 'A*11:24', 'A*02:85', 'B*27:33', - 'B*56:16', 'B*07:46', 'B*40:69', 'B*08:15', 'A*68:30', 'C*07:03', - 'B*35:35', 'B*46:03', 'B*07:05', 'A*03:25', 'C*06:14', 'A*11:03', - 'B*56:07', 'C*03:16', 'C*07:01', 'C*15:09', 'B*40:67', 'B*18:04', - 'B*44:43', 'B*55:21', 'C*07:42', 'B*57:11', 'B*40:45', 'B*44:39', - 'C*18:01', 'A*68:34', 'C*07:07', 'B*48:04', 'A*11:13', 'A*23:02', - 'B*35:12', 'A*26:33', 'A*29:07', 'B*54:04', 'B*07:48', 'B*35:06', - 'C*07:05', 'B*35:33', 'B*37:10', 'B*40:35', 'B*35:10', 'B*15:29', - 'B*46:09', 'C*15:13', 'A*24:18', 'A*02:24', 'A*68:05', 'B*44:10', - 'C*04:24', 'B*18:19', 'A*26:09', 'B*40:24', 'B*59:02', 'B*40:60', - 'A*25:06', 'A*24:53', 'A*24:42', 'A*43:01', 'C*08:10', 'B*44:45', - 'C*06:12', 'A*02:08', 'B*07:18', 'B*51:04', 'A*26:34', 'B*83:01', - 'A*02:11', 'A*01:10', 'A*32:05', 'B*27:23', 'C*01:09', 'B*15:20', - 'B*44:02', 'A*02:06', 'B*15:90', 'C*04:07', 'B*15:24', 'A*02:13', - 'B*51:40', 'B*07:42', 'A*02:26', 'A*01:02', 'B*44:41', 'B*44:04', - 'A*02:04', 'A*24:19', 'B*35:71', 'B*56:08', 'A*36:04', 'C*17:01', - 'A*24:35', 'B*07:40', 'B*40:19', 'B*44:17']) - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def name(self): - return self.__name - - @property - def supportedAlleles(self): - return self.__alleles - - @property - def supportedLength(self): - return self.__supported_length - -
[docs] def convert_alleles(self, alleles): - return ["%s_%s%s"%(a.locus, a.supertype, a.subtype) for a in alleles] - - #overrides encoding from base class
-
[docs] def encode(self, peptides, allele): - - pca = [{'A': 0.008, 'C': -0.132, 'E': 0.221, 'D': 0.303, 'G': 0.218, 'F': -0.329, 'I': -0.353, 'H': 0.023, - 'K': 0.243, 'M': -0.239, 'L': -0.267, 'N': 0.255, 'Q': 0.149, 'P': 0.173, 'S': 0.199, 'R': 0.171, - 'T': 0.068, 'W': -0.296, 'V': -0.274, 'Y': -0.141}, - {'A': 0.134, 'C': 0.174, 'E': -0.28, 'D': -0.057, 'G': 0.562, 'F': -0.023, 'I': 0.071, 'H': -0.177, - 'K': -0.339, 'M': -0.141, 'L': 0.018, 'N': 0.038, 'Q': -0.184, 'P': 0.286, 'S': 0.238, 'R': -0.361, - 'T': 0.147, 'W': -0.186, 'V': 0.136, 'Y': -0.057}, - {'A': -0.475, 'C': 0.07, 'E': -0.315, 'D': -0.014, 'G': -0.024, 'F': 0.072, 'I': -0.088, 'H': 0.041, - 'K': -0.044, 'M': -0.155, 'L': -0.265, 'N': 0.117, 'Q': -0.03, 'P': 0.407, 'S': -0.015, 'R': 0.107, - 'T': -0.015, 'W': 0.389, 'V': -0.187, 'Y': 0.425}, - {'A': -0.039, 'C': 0.565, 'E': 0.157, 'D': 0.225, 'G': 0.018, 'F': -0.002, 'I': -0.195, 'H': 0.28, - 'K': -0.325, 'M': 0.321, 'L': -0.274, 'N': 0.118, 'Q': 0.035, 'P': -0.215, 'S': -0.068, 'R': -0.258, - 'T': -0.132, 'W': 0.083, 'V': -0.196, 'Y': -0.096}, - {'A': 0.181, 'C': -0.374, 'E': 0.303, 'D': 0.156, 'G': 0.106, 'F': 0.208, 'I': -0.107, 'H': -0.021, - 'K': -0.027, 'M': 0.077, 'L': 0.206, 'N': -0.055, 'Q': -0.112, 'P': 0.384, 'S': -0.196, 'R': -0.364, - 'T': -0.274, 'W': 0.297, 'V': -0.299, 'Y': -0.091}] - - def __encode(pep, a): - encoding = zip(xrange(1, 46), UniTope_encodedAlleles[a+"_9"]) - c = 46 - for p in str(pep): - for i, pc in enumerate(pca): - encoding.append((c+i, pc[p])) - c+=5 - return 0,encoding - - if isinstance(peptides, collections.Iterable): - return {p:__encode(p, allele) for p in peptides} - else: - return {peptides:__encode(peptides, allele)} - - #overrides encoding from base class
-
[docs] def predict(self, peptides, alleles=None, **kwargs): - - if isinstance(peptides, Peptide): - pep_seqs = {str(peptides):peptides} - else: - if any(not isinstance(p, Peptide) for p in peptides): - raise ValueError("Input is not of type Protein or Peptide") - pep_seqs = {str(p):p for p in peptides} - - if alleles is None: - al = [Allele("HLA-"+a) for a in self.supportedAlleles] - allales_string = {conv_a:a for conv_a, a in itertools.izip(self.convert_alleles(al), al)} - else: - if isinstance(alleles, Allele): - alleles = [alleles] - if any(not isinstance(p, Allele) for p in alleles): - raise ValueError("Input is not of type Allele") - allales_string ={conv_a:a for conv_a, a in itertools.izip(self.convert_alleles(alleles),alleles)} - - #group peptides by length and - result = {} - - model_path = pkg_resources.resource_filename("Fred2.Data.svms.%s"%self.name, "%s"%self.name) - #model_path = os.path.abspath("../Data/svms/%s/%s"%(self.name, self.name)) - model = svmlight.read_model(model_path) - - for length, peps in itertools.groupby(pep_seqs.iterkeys(), key= lambda x: len(x)): - #load svm model - peps = list(peps) - if length != 9: - warnings.warn("Peptide length of %i is not supported by UniTope"%length) - continue - - for a in allales_string.keys(): - if allales_string[a].name in self.supportedAlleles: - encoding = self.encode(peps, a) - pred = svmlight.classify(model, encoding.values()) - result[allales_string[a]] = {} - for pep, score in itertools.izip(encoding.keys(), pred): - result[allales_string[a]][pep_seqs[pep]] = score - - if not result: - raise ValueError("No predictions could be made for given input. Check your \ - epitope length and HLA allele combination.") - df_result = EpitopePredictionResult.from_dict(result) - df_result.index = pandas.MultiIndex.from_tuples([tuple((i, self.name)) for i in df_result.index], - names=['Seq', 'Method']) - return df_result - - -#TODO: should we integrate this method or not? This means we have to drag around ~500MB of model data just for this -# class MHCIIMulti(AEpitopePrediction, AExternal): -# """ -# Implements MHCIIMulti -# """ -# -# __name = "mhcIImulti" -# __supported_length = frozenset([15]) -# -# models_dir = pkg_resources.resource_filename("Fred2.Data.svms.MHCIIMulti", "") -# pockets = pkg_resources.resource_filename("Fred2.Data.svms.MHCIIMulti", "pockets.txt") -# __command = "MHCIILeveraging %s %s %s "+str(models_dir)+" "+str(pockets) -# __alleles = frozenset(['DRB3*02:21', 'DRB3*02:20', 'DRB1*14:22', 'DRB1*11:63', 'DRB1*11:62', 'DRB1*11:61', 'DRB1*11:60', -# 'DRB1*11:67', 'DRB1*11:66', 'DRB1*11:64', 'DRB1*08:04:01', 'DRB1*08:04:02', 'DRB1*08:04:03', -# 'DRB1*08:04:04', 'DRB1*04:59', 'DRB1*14:21', 'DRB1*04:54', 'DRB1*04:55', 'DRB1*04:56', 'DRB1*04:57', -# 'DRB1*04:50', 'DRB1*04:51', 'DRB1*04:52', 'DRB1*04:53', 'DRB1*14:24', 'DRB1*14:25', 'DRB1*07:08', -# 'DRB1*07:09', 'DRB1*13:29', 'DRB1*13:28', 'DRB1*13:25', 'DRB1*07:03', 'DRB1*13:27', 'DRB1*07:01', -# 'DRB1*07:06', 'DRB1*07:07', 'DRB1*07:04', 'DRB1*07:05', 'DRB1*15:09', 'DRB1*01:02:04', 'DRB1*01:02:03', -# 'DRB1*01:02:02', 'DRB1*01:02:01', 'DRB1*15:08', 'DRB1*03:37', 'DRB1*03:36', 'DRB1*03:35', 'DRB1*03:34', -# 'DRB1*03:33', 'DRB1*03:32', 'DRB1*03:31', 'DRB1*03:30', 'DRB5*01:04', 'DRB5*01:05', 'DRB1*14:26', -# 'DRB5*01:07', 'DRB5*01:01', 'DRB1*03:39', 'DRB1*03:38', 'DRB1*11:02:01', 'DRB1*11:02:02', -# 'DRB3*01:01:02:02', 'DRB1*01:19', 'DRB1*01:18', 'DRB1*01:17', 'DRB1*01:16', 'DRB1*01:15', 'DRB1*01:14', -# 'DRB1*01:13', 'DRB1*01:12', 'DRB1*01:11', 'DRB1*01:10', 'DRB3*02:17', 'DRB1*14:27', 'DRB1*11:51', -# 'DRB1*11:12:01', 'DRB1*11:12:02', 'DRB1*14:59', 'DRB1*14:58', 'DRB1*14:51', 'DRB1*14:50', 'DRB1*14:53', -# 'DRB1*14:52', 'DRB1*14:55', 'DRB1*14:54', 'DRB1*14:57', 'DRB1*14:56', 'DRB3*02:09', 'DRB3*02:08', -# 'DRB3*02:03', 'DRB3*02:01', 'DRB3*02:07', 'DRB3*02:06', 'DRB3*02:05', 'DRB3*02:04', 'DRB1*09:01', -# 'DRB1*09:02', 'DRB1*09:03', 'DRB1*09:04', 'DRB1*09:05', 'DRB1*09:06', 'DRB1*15:01:01', 'DRB1*15:01:03', -# 'DRB1*15:01:02', 'DRB1*15:01:05', 'DRB1*15:01:04', 'DRB1*15:01:06', 'DRB1*08:32', 'DRB1*08:33', -# 'DRB1*08:30', 'DRB1*08:31', 'DRB1*08:34', 'DRB1*04:18', 'DRB1*11:26', 'DRB1*11:25', 'DRB1*11:24', -# 'DRB1*11:23', 'DRB1*11:22', 'DRB1*11:21', 'DRB1*11:20', 'DRB1*04:10', 'DRB1*04:11', 'DRB1*04:12', -# 'DRB1*04:13', 'DRB1*04:14', 'DRB1*04:15', 'DRB1*11:29', 'DRB1*11:28', 'DRB3*02:10', 'DRB1*04:58', -# 'DRB1*13:05:02', 'DRB1*13:05:01', 'DRB1*15:01', 'DRB1*15:03', 'DRB1*15:05', 'DRB1*15:04', 'DRB1*15:07', -# 'DRB1*15:06', 'DRB1*04:01:03', 'DRB1*04:01:02', 'DRB1*04:01:01', 'DRB1*11:52', 'DRB1*11:53', -# 'DRB1*11:50', 'DRB1*08:03:02', 'DRB1*11:56', 'DRB1*11:57', 'DRB1*11:55', 'DRB1*11:58', 'DRB1*11:59', -# 'DRB1*13:82', 'DRB1*04:07:01', 'DRB1*04:07:03', 'DRB1*04:07:02', 'DRB1*13:81', 'DRB1*14:01:01', -# 'DRB1*16:04', 'DRB1*12:13', 'DRB1*12:12', 'DRB1*12:11', 'DRB1*12:10', 'DRB1*03:02:01', 'DRB1*12:16', -# 'DRB1*12:15', 'DRB1*03:02:02', 'DRB1*11:65:02', 'DRB1*11:65:01', 'DRB1*16:07', 'DRB1*13:58', -# 'DRB1*13:59', 'DRB1*13:02:02', 'DRB1*13:02:03', 'DRB1*13:02:01', 'DRB1*11:08:02', 'DRB1*13:54', -# 'DRB1*11:08:01', 'DRB1*03:08', 'DRB1*03:09', 'DRB1*03:06', 'DRB1*03:07', 'DRB1*03:04', 'DRB1*03:03', -# 'DRB1*03:01', 'DRB1*14:15', 'DRB1*14:14', 'DRB1*04:05:04', 'DRB1*13:57', 'DRB1*14:11', 'DRB1*14:10', -# 'DRB1*14:13', 'DRB1*14:12', 'DRB1*14:44:02', 'DRB1*14:44:01', 'DRB1*14:19', 'DRB1*14:18', 'DRB1*13:51', -# 'DRB1*13:52', 'DRB1*12:14', 'DRB1*13:14:01', 'DRB1*13:14:02', 'DRB1*13:24', 'DRB1*13:26', 'DRB1*13:21', -# 'DRB1*14:07:02', 'DRB1*13:20', 'DRB3*03:02', 'DRB3*03:03', 'DRB1*13:23', 'DRB1*13:22', 'DRB1*11:27:01', -# 'DRB1*11:27:02', 'DRB1*14:05:01', 'DRB1*14:05:02', 'DRB1*14:05:03', 'DRB1*11:18', 'DRB1*15:17N', -# 'DRB1*11:16', 'DRB1*11:17', 'DRB1*11:15', 'DRB1*11:13', 'DRB1*11:10', 'DRB1*04:43', 'DRB1*04:42', -# 'DRB1*04:41', 'DRB1*04:40', 'DRB1*04:47', 'DRB1*04:46', 'DRB1*04:45', 'DRB1*04:44', 'DRB1*04:49', -# 'DRB1*04:48', 'DRB1*10:02', 'DRB1*13:10', 'DRB1*13:11', 'DRB1*13:12', 'DRB1*13:13', 'DRB1*13:15', -# 'DRB1*13:16', 'DRB1*13:17', 'DRB1*07:11', 'DRB1*13:19', 'DRB1*07:13', 'DRB1*07:12', 'DRB1*07:15', -# 'DRB1*07:14', 'DRB4*01:03:01:01', 'DRB1*12:01:02', 'DRB1*16:01:02', 'DRB1*12:01:01', 'DRB1*16:01:01', -# 'DRB5*01:13', 'DRB5*01:12', 'DRB5*01:11', 'DRB3*01:01:03', 'DRB3*01:01:04', 'DRB1*12:03:02', -# 'DRB4*01:03:03', 'DRB4*01:03:02', 'DRB4*01:03:04', 'DRB1*03:05:01', 'DRB1*03:05:02', 'DRB1*13:80', -# 'DRB1*14:16', 'DRB1*14:68', 'DRB1*14:69', 'DRB1*14:64', 'DRB1*14:65', 'DRB1*14:67', 'DRB1*14:60', -# 'DRB1*14:61', 'DRB1*14:62', 'DRB1*14:63', 'DRB1*13:55', 'DRB5*01:06', 'DRB1*11:14:02', 'DRB1*11:14:01', -# 'DRB1*13:56', 'DRB1*08:21', 'DRB1*08:20', 'DRB1*08:23', 'DRB1*08:22', 'DRB1*08:25', 'DRB1*08:24', -# 'DRB1*08:27', 'DRB1*08:26', 'DRB1*08:29', 'DRB1*08:28', 'DRB5*01:03', 'DRB1*09:01:02', 'DRB1*09:01:03', -# 'DRB5*01:09', 'DRB1*04:06:02', 'DRB1*04:09', 'DRB1*04:08', 'DRB1*04:05', 'DRB1*04:04', 'DRB1*04:02', -# 'DRB1*04:01', 'DRB1*14:17', 'DRB3*01:01:02:01', 'DRB1*13:70', 'DRB1*11:41', 'DRB1*11:40', 'DRB1*11:43', -# 'DRB1*11:42', 'DRB1*11:45', 'DRB1*11:44', 'DRB1*11:47', 'DRB1*11:46', 'DRB1*11:49', 'DRB1*11:48', -# 'DRB1*04:70', 'DRB1*04:71', 'DRB1*04:03:04', 'DRB1*04:03:01', 'DRB1*04:03:03', 'DRB1*04:03:02', -# 'DRB5*01:01:02', 'DRB5*01:01:01', 'DRB1*11:11:01', 'DRB1*11:11:02', 'DRB1*13:48', 'DRB1*13:43', -# 'DRB1*13:42', 'DRB1*13:41', 'DRB1*13:40', 'DRB1*13:47', 'DRB1*13:46', 'DRB1*13:45', 'DRB1*13:44', -# 'DRB1*13:53', 'DRB1*14:03:02', 'DRB1*14:03:01', 'DRB1*14:28', 'DRB1*14:29', 'DRB3*02:23', 'DRB3*02:22', -# 'DRB1*03:19', 'DRB1*03:18', 'DRB1*03:15', 'DRB1*03:14', 'DRB1*03:17', 'DRB1*03:16', 'DRB1*03:11', -# 'DRB1*03:10', 'DRB1*03:13', 'DRB1*03:12', 'DRB3*02:14', 'DRB1*16:03', 'DRB1*08:02:02', 'DRB1*08:02:03', -# 'DRB1*08:02:01', 'DRB1*16:08', 'DRB1*16:09', 'DRB3*02:15', 'DRB1*13:65', 'DRB1*13:64', 'DRB1*15:02:04', -# 'DRB1*15:02:01', 'DRB1*15:02:02', 'DRB1*15:02:03', 'DRB1*04:06:01', 'DRB5*01:02', 'DRB1*13:69', -# 'DRB3*02:16', 'DRB1*13:68', 'DRB1*13:01:03', 'DRB1*13:01:02', 'DRB1*13:01:01', 'DRB1*11:09', -# 'DRB1*11:05', 'DRB1*11:07', 'DRB1*11:01', 'DRB1*11:03', 'DRB1*04:36', 'DRB1*04:37', 'DRB1*04:34', -# 'DRB1*04:35', 'DRB1*04:32', 'DRB1*04:33', 'DRB1*04:30', 'DRB1*04:31', 'DRB1*04:38', 'DRB1*04:39', -# 'DRB3*02:11', 'DRB1*13:06', 'DRB1*13:04', 'DRB1*13:02', 'DRB1*13:01', 'DRB1*13:09', 'DRB1*13:08', -# 'DRB3*02:12', 'DRB1*16:02:02', 'DRB1*16:02:01', 'DRB3*01:06', 'DRB3*01:07', 'DRB3*01:04', 'DRB3*01:05', -# 'DRB3*01:02', 'DRB3*01:03', 'DRB3*01:01', 'DRB3*02:13', 'DRB3*01:08', 'DRB3*01:09', 'DRB1*14:07:01', -# 'DRB1*13:72', 'DRB1*13:73', 'DRB1*11:04:04', 'DRB1*13:71', 'DRB1*11:04:02', 'DRB1*11:04:03', -# 'DRB1*13:74', 'DRB1*11:04:01', 'DRB1*13:78', 'DRB1*13:79', 'DRB1*14:39', 'DRB1*13:07:01', -# 'DRB1*13:07:02', 'DRB1*07:01:01', 'DRB1*07:01:02', 'DRB1*04:72', 'DRB1*14:73', 'DRB1*14:72', -# 'DRB1*14:71', 'DRB1*14:70', 'DRB1*14:75', 'DRB1*14:74', 'DRB1*12:02:02', 'DRB1*12:02:01', -# 'DRB1*11:01:05', 'DRB1*11:01:04', 'DRB1*11:01:07', 'DRB1*11:01:06', 'DRB1*11:01:01', 'DRB1*11:01:03', -# 'DRB1*11:01:02', 'DRB1*04:05:05', 'DRB1*08:14', 'DRB1*08:15', 'DRB1*08:16', 'DRB1*08:17', 'DRB1*08:10', -# 'DRB1*08:11', 'DRB1*08:12', 'DRB1*08:13', 'DRB1*04:05:03', 'DRB1*14:01:02', 'DRB1*14:01:03', -# 'DRB1*08:18', 'DRB1*08:19', 'DRB1*04:05:02', 'DRB1*04:05:01', 'DRB1*11:19:01', 'DRB1*11:19:02', -# 'DRB1*14:38', 'DRB1*14:37', 'DRB1*14:36', 'DRB3*02:18', 'DRB3*03:01:02', 'DRB3*03:01:01', 'DRB1*15:23', -# 'DRB1*15:22', 'DRB1*15:21', 'DRB1*15:20', 'DRB1*15:27', 'DRB1*15:26', 'DRB1*15:25', 'DRB1*15:24', -# 'DRB4*01:01:01:01', 'DRB1*04:69', 'DRB1*04:68', 'DRB1*04:61', 'DRB1*04:60', 'DRB1*04:63', 'DRB1*04:62', -# 'DRB1*04:65', 'DRB1*04:64', 'DRB1*04:67', 'DRB1*04:66', 'DRB1*13:38', 'DRB1*13:39', 'DRB1*13:36', -# 'DRB1*13:37', 'DRB1*13:34', 'DRB1*13:35', 'DRB1*13:32', 'DRB1*13:33', 'DRB1*13:30', 'DRB1*13:31', -# 'DRB1*08:01:03', 'DRB1*08:01:02', 'DRB1*08:01:01', 'DRB1*13:50:01', 'DRB4*01:05', 'DRB1*03:01:01', -# 'DRB1*03:01:02', 'DRB1*03:01:03', 'DRB1*03:01:04', 'DRB1*03:01:05', 'DRB1*03:01:06', 'DRB1*13:50:02', -# 'DRB1*03:20', 'DRB1*03:21', 'DRB1*03:22', 'DRB1*03:23', 'DRB1*03:24', 'DRB1*03:25', 'DRB1*03:26', -# 'DRB1*03:27', 'DRB1*03:28', 'DRB1*03:29', 'DRB1*14:35', 'DRB1*14:34', 'DRB1*14:33', 'DRB3*02:19', -# 'DRB1*14:31', 'DRB1*14:30', 'DRB1*01:08', 'DRB1*01:09', 'DRB4*01:06', 'DRB1*04:73', 'DRB1*01:01', -# 'DRB1*01:03', 'DRB1*01:04', 'DRB1*01:05', 'DRB1*01:06', 'DRB1*01:07', 'DRB1*16:05:02', 'DRB4*01:04', -# 'DRB4*01:07', 'DRB1*16:05:01', 'DRB4*01:01', 'DRB4*01:02', 'DRB1*16:12', 'DRB1*16:11', 'DRB1*16:10', -# 'DRB1*14:48', 'DRB1*14:49', 'DRB1*01:01:02', 'DRB1*01:01:03', 'DRB1*01:01:01', 'DRB1*14:42', -# 'DRB1*14:43', 'DRB1*14:40', 'DRB1*14:41', 'DRB1*14:46', 'DRB1*14:47', 'DRB1*14:45', 'DRB1*11:54:02', -# 'DRB1*11:54:01', 'DRB1*04:19', 'DRB1*13:03:01', 'DRB1*11:06:01', 'DRB1*11:06:02', 'DRB1*13:03:02', -# 'DRB1*13:76', 'DRB1*13:77', 'DRB1*11:30', 'DRB1*11:31', 'DRB1*11:32', 'DRB1*11:33', 'DRB1*11:34', -# 'DRB1*11:35', 'DRB1*11:36', 'DRB1*11:37', 'DRB1*11:38', 'DRB1*11:39', 'DRB1*13:75', 'DRB1*13:49', -# 'DRB1*04:25', 'DRB1*04:24', 'DRB1*04:27', 'DRB1*04:26', 'DRB1*04:21', 'DRB1*04:20', 'DRB1*04:23', -# 'DRB1*04:22', 'DRB1*04:29', 'DRB1*04:28', 'DRB1*14:32:02', 'DRB1*14:32:01', 'DRB1*04:16', 'DRB1*04:17', -# 'DRB1*15:12', 'DRB1*15:13', 'DRB1*15:10', 'DRB1*15:11', 'DRB1*15:16', 'DRB1*15:14', 'DRB1*15:15', -# 'DRB1*15:18', 'DRB1*15:19', 'DRB3*02:02:04', 'DRB3*02:02:05', 'DRB3*02:02:02', 'DRB3*02:02:03', -# 'DRB3*02:02:01', 'DRB3*01:11', 'DRB3*01:10', 'DRB5*02:05', 'DRB5*02:04', 'DRB5*02:03', 'DRB5*02:02', -# 'DRB1*13:61', 'DRB1*13:60', 'DRB1*13:63', 'DRB1*13:62', 'DRB1*12:08', 'DRB1*12:09', 'DRB1*13:67', -# 'DRB1*13:66', 'DRB1*12:04', 'DRB1*12:05', 'DRB1*12:06', 'DRB1*12:07', 'DRB1*12:01', 'DRB5*01:08N', -# 'DRB1*14:06', 'DRB1*13:18', 'DRB1*14:04', 'DRB1*14:02', 'DRB1*14:08', 'DRB1*14:09', 'DRB1*14:23:01', -# 'DRB1*14:23:02', 'DRB1*08:09', 'DRB1*08:08', 'DRB1*10:01:01', 'DRB1*10:01:02', 'DRB1*08:02', -# 'DRB1*08:01', 'DRB1*08:07', 'DRB1*08:06', 'DRB1*08:05', 'DRB1*14:20']) -# -# @property -# def name(self): -# return self.__name -# -# @property -# def supportedAlleles(self): -# return self.__alleles -# -# @property -# def supportedLength(self): -# return self.__supported_length -# -# @property -# def command(self): -# return self.__command -# -# def parse_external_result(self, _file): -# res = [] -# for l in _file: -# if l.strip() == "": -# continue -# res.append(float(l.strip())) -# return res -# -# def convert_alleles(self, alleles): -# return ["%s_%s%s"%(a.locus, a.supertype, a.subtype) for a in alleles] -# -# def predict(self, peptides, alleles=None, **kwargs): -# -# if isinstance(peptides, Peptide): -# pep_seqs = {str(peptides):peptides} -# else: -# if any(not isinstance(p, Peptide) for p in peptides): -# raise ValueError("Input is not of type Protein or Peptide") -# pep_seqs = {str(p):p for p in peptides} -# -# if alleles is None: -# al = [Allele("HLA-"+a) for a in self.supportedAlleles] -# allales_string = {conv_a:a for conv_a, a in itertools.izip(self.convert_alleles(al), al)} -# else: -# if isinstance(alleles, Allele): -# alleles = [alleles] -# if any(not isinstance(p, Allele) for p in alleles): -# raise ValueError("Input is not of type Allele") -# allales_string ={conv_a:a for conv_a, a in itertools.izip(self.convert_alleles(alleles),alleles)} -# -# tmp_file = NamedTemporaryFile(delete=False) -# pep = [ p for p in pep_seqs.keys() if len(p) >= max(self.__supported_length)] -# if not pep: -# raise ValueError("No epitopes with length >= %i"%max(self.__supported_length)) -# -# tmp_file.write("\n".join(pep_seqs.keys())) -# tmp_file.close() -# tmp_out = NamedTemporaryFile(delete=False) -# -# results = {} -# for a in allales_string.iterkeys(): -# -# #cmd = self.command%(data_file, a, prediction_file, self._modelpath) #modelpath? -# -# r = subprocess.call(self.command%(tmp_file.name, a, tmp_out.name), shell=True) -# -# if r == 127: -# raise RuntimeError("%s is not installed or globally executable."%self.name) -# elif r == -6: -# warnings.warn("No model exists for allele %s."%str(allales_string[a])) -# continue -# elif r != 0: -# warnings.warn("An unknown error occurred for method %s."%self.name) -# continue -# -# results[allales_string[a]] = {p:s for p, s in itertools.izip(pep_seqs.values(), self.parse_external_result(tmp_out))} -# print results -# if any( not results[k] for k in results.iterkeys()): -# raise ValueError("No predictions could be made for " +self.name+" given input. Check your " -# "epitope length and HLA allele combination.") -# df_result = EpitopePredictionResult.from_dict(results) -# df_result.index = pandas.MultiIndex.from_tuples([tuple((i,self.name)) for i in df_result.index], -# names=['Seq','Method']) -# return df_result
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/IO/ADBAdapter.html b/Fred2/doc/_build/html/_modules/Fred2/IO/ADBAdapter.html deleted file mode 100644 index 88181e64..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/IO/ADBAdapter.html +++ /dev/null @@ -1,140 +0,0 @@ - - - - - - - - Fred2.IO.ADBAdapter — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.IO.ADBAdapter

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: IO.ADBAdapter
-   :synopsis: Base class for specific DB-Adapters
-.. moduleauthor:: schubert
-"""
-from abc import ABCMeta, abstractmethod
-
-
-'''
-:Contract:
-
-Transcript sequences are always only coding region! First coding base has index i=1
-Variant position start at conding region of the transcript
-Strands are always encoded with + and -
-'''
-
-EAdapterFields = (lambda **enums: type('Enum', (), enums))(GENE=0, STRAND=1, SEQ=2, TRANSID=3, PROTID=4)
-
-
-
[docs]class ADBAdapter: - - __metaclass__ = ABCMeta - - @abstractmethod -
[docs] def get_product_sequence(self, product_refseq): - """ - fetches product sequence for the given id - - :param product_refseq: given refseq id - :return: list of dictionaries of the requested sequence, the respective strand and the associated gene name - """ - pass -
- @abstractmethod -
[docs] def get_transcript_sequence(self, transcript_refseq): - """ - Fetches transcript sequence for the given id - - :param transcript_refseq: - :return: list of dictionary of the requested sequence, the respective strand and the associated gene name - """ - pass -
- @abstractmethod -
[docs] def get_transcript_information(self, transcript_refseq): - pass
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/IO/EnsemblAdapter.html b/Fred2/doc/_build/html/_modules/Fred2/IO/EnsemblAdapter.html deleted file mode 100644 index 8548ce75..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/IO/EnsemblAdapter.html +++ /dev/null @@ -1,310 +0,0 @@ - - - - - - - - Fred2.IO.EnsemblAdapter — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.IO.EnsemblAdapter

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-__author__ = 'walzer'
-
-import warnings
-import bisect
-
-from Bio import SeqIO
-
-
-
[docs]class EnsemblDB: - def __init__(self, name='fdb'): - """ - EnsembleDB class to give quick access to entries (fast exact match searches) and convenient ways to produce - combined fasta files. Search is done with python's fast search based on a mix between boyer-moore and horspool - (http://svn.python.org/view/python/trunk/Objects/stringlib/fastsearch.h?revision=68811&view=markup) - :param name: a name for the EnsembleDB object - Usage tutorials: - import EnsembleDB - db = EnsembleDB.EnsembleDB('Ensemble') #give it a name - db.read_seqs('/path/to/file.fasta') - l = list(SeqIO.parse(f, "fasta")) - d = SeqIO.to_dict(SeqIO.parse(f, "fasta")) - db = EnsembleDB.EnsembleDB('something') - db.read_seqs(l) - db.read_seqs(d) - """ - self.name = name - self.collection = {} # all the biopython seq records in a dict keyed by the id of the record - self.searchstring = '' # all sequences concatenated with a '#' - self.accs = list() # all accessions in respective order to searchstring - self.idx = list() # all indices of starting strings in the searchstring in respective order - self.ensg2enst = dict() - self.ensg2ensp = dict() - self.enst2ensg = dict() - self.enst2ensp = dict() - self.ensp2ensg = dict() - self.ensp2enst = dict() - -
[docs] def read_seqs(self, sequence_file): - """ - read sequences from Ensemble protein files (.fasta) or from lists or dicts of BioPython SeqRecords - and make them available for fast search. Appending also with this function. - :param sequence_file: Ensemble files (.dat or .fasta) - :return: - """ - recs = sequence_file - if not isinstance(sequence_file, dict) and not isinstance(sequence_file, list): - try: - with open(sequence_file, 'rb') as f: - if sequence_file.endswith('.fa') or sequence_file.endswith('.fasta'): - recs = SeqIO.to_dict(SeqIO.parse(f, "fasta")) - else: # assume it is a dat file - recs = SeqIO.to_dict(SeqIO.parse(open(sequence_file), 'swiss')) - except: - warnings.warn("Could not read file", UserWarning) - return - if isinstance(sequence_file, list): - recs = SeqIO.to_dict(sequence_file) - if recs: - self.collection.update(recs) - self.searchstring = '#'.join([str(x.seq) for x in self.collection.values()]).decode('ascii') - self.accs = self.collection.keys() - self.idx = list() - self.idx.append(0) - for i, v in enumerate(self.collection.values()): - self.idx.append(1 + self.idx[-1] + len(self.collection.values()[i].seq)) - - for i in recs.items(): - ensg = None - enst = None - ensp = i[0] - ks = i[1].description.split(' ') - for j in ks: - if j.startswith('transcript:'): - enst = j.strip('transcript:') - elif j.startswith('gene:'): - ensg = j.strip('gene:') - if ensg and enst and ensp: - if ensg not in self.ensg2enst: - self.ensg2enst[ensg] = list() - self.ensg2ensp[ensg] = list() - self.ensg2enst[ensg].append(enst) - self.ensg2ensp[ensg].append(ensp) - self.enst2ensg[enst] = ensg - self.enst2ensp[enst] = ensp - self.ensp2ensg[ensp] = ensg - self.ensp2enst[ensp] = enst - else: - warnings.warn("Unparsable filecontents", UserWarning) - return -
-
[docs] def map_enst(self, enst): - """ - looks up enst from the mapping and returns a ensg and a ensp - :param enst: the transcript to map - :return: tuple of gene and protein (might be None) - """ - ensg = None - ensp = None - if enst in self.enst2ensg: - ensg = self.enst2ensg[enst] - if enst in self.enst2ensp: - ensp = self.enst2ensp[enst] - return {'Ensembl Gene ID': ensg, 'Ensembl Transcript ID': enst, 'Ensembl Protein ID': ensp} -
-
[docs] def map_ensp(self, ensp): - """ - looks up ensp from the mapping and returns a ensg and a enst - :param ensp: the protein to map - :return: tuple of gene and protein (should not be None) - """ - ensg = None - enst = None - if ensp in self.ensp2ensg: - ensg = self.ensp2ensg[ensp] - if enst in self.ensp2enst: - enst = self.ensp2enst[ensp] - return {'Ensembl Gene ID': ensg, 'Ensembl Transcript ID': enst, 'Ensembl Protein ID': ensp} -
-
[docs] def map_ensg(self,ensg): - warnings.warn('mapping ensg not implemented', NotImplementedError) -
-
[docs] def get_sequence(self,ensp): - if ensp in self.collection: - return self.collection[ensp] - else: - return None -
-
[docs] def write_seqs(self, name): - """ - writes all fasta entries in the current object into one fasta file - :param name: the complete path with file name where the fasta is going to be written - """ - with open(name, "w") as output: - SeqIO.write(self.collection.values(), output, "fasta") -
-
[docs] def exists(self, seq): - """ - fast check if given sequence exists (as subsequence) in one of the EnsembleDB objects collection of sequences. - :param seq: the subsequence to be searched for - :return: True, if it is found somewhere, False otherwise - """ - if isinstance(seq, str): - index = self.searchstring.find(seq) - if index >= 0: - return True - else: - return False - return None -
-
[docs] def search(self, seq): - """ - search for first occurrence of given sequence(s) in the EnsembleDB objects collection returning (each) the fasta - header front part of the first occurrence. - :param seq: a string interpreted as a single sequence or a list (of str) interpreted as a coll. of sequences - :return: a dictionary of sequences to lists (of ids, 'null' if n/a) - """ - if isinstance(seq, str): - ids = 'null' - index = self.searchstring.find(seq) - if index >= 0: - j = bisect.bisect(self.idx, index) - 1 - ids = self.accs[j] - return {seq: ids} - if isinstance(seq, list): - ids = list() - for i in seq: - ids.append('null') - for i, v in enumerate(seq): - index = self.searchstring.find(v) - if index >= 0: - j = bisect.bisect(self.idx, index) - 1 - ids[i] = self.accs[j] - return dict(zip(seq, ids)) - return None -
-
[docs] def search_all(self, seq): - """ - search for all occurrences of given sequence(s) in the EnsembleDB objects collection returning (each) the - fasta header front part of all occurrences. - :param seq: a string interpreted as a single sequence or a list (of str) interpreted as a coll. of sequences - :return: a dictionary of the given sequences to lists (of ids, 'null' if n/a) - """ - if isinstance(seq, str): - ids = 'null' - index = 0 - searchstring_length = len(seq) - while index < len(self.searchstring): - index = self.searchstring.find(seq, index) - if index == -1: - break - j = bisect.bisect(self.idx, index) - 1 - if ids == 'null': - ids = self.accs[j] - else: - ids = ids + ',' + self.accs[j] - index += searchstring_length - return {seq: ids} - if isinstance(seq, list): - ids = list() - for i in seq: - ids.append('null') - for i, v in enumerate(seq): - index = 0 - searchstring_length = len(v) - while index < len(self.searchstring): - index = self.searchstring.find(v, index) - if index == -1: - break - j = bisect.bisect(self.idx, index) - 1 - if ids[i] == 'null': - ids[i] = self.accs[j] - else: - ids[i] = ids[i] + ',' + self.accs[j] - index += searchstring_length - return dict(zip(seq, ids)) - return None
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/IO/FileReader.html b/Fred2/doc/_build/html/_modules/Fred2/IO/FileReader.html deleted file mode 100644 index f7a0c705..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/IO/FileReader.html +++ /dev/null @@ -1,264 +0,0 @@ - - - - - - - - Fred2.IO.FileReader — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.IO.FileReader

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: Reader
-   :synopsis: Module handles reading of files. line reading, FASTA reading, annovar reading
-.. moduleauthor:: brachvogel, schubert
-
-"""
-
-import warnings
-import os
-
-from Bio.SeqIO.FastaIO import SimpleFastaParser
-
-from Fred2.Core.Allele import Allele
-from Fred2.Core.Peptide import Peptide
-from Fred2.Core.Protein import Protein
-from Fred2.Core.Transcript import Transcript
-from Fred2.Core.Variant import Variant, VariationType, MutationSyntax
-
-####################################
-#       F A S T A  -  R E A D E R
-####################################
-
[docs]def read_fasta(files, type=Peptide, id_position=1): - """ - Generator function: - - Read a (couple of) peptide, protein or rna sequence from a FASTA file. - User needs to specify the correct type of the underlying sequences. It can - either be: Peptide, Protein or Transcript (for RNA). - - :param List(str)/str files: A (List) of file names to read in - :param Peptide/Transcript/Protein type: The type to read in - :param int id_position: the position of the id specified counted by | - :returns: (list(SequenceType)) -- a list of the specified sequence type - derived from the FASTA file sequences. - :exception ValueError: if a file is not readable - """ - - if isinstance(files, basestring): - files = [files] - else: - if any(not os.path.exists(f) for f in files): - raise ValueError("Specified Files do not exist") - - collect = set() - # open all specified files: - for name in files: - with open(name, 'r') as handle: - # iterate over all FASTA entries: - for _id, seq in SimpleFastaParser(handle): - # generate element: - try: - _id = _id.split("|")[id_position] - except KeyError: - _id = _id - - try: - collect.add(type(seq.strip().upper(), _transcript_id=_id)) - except TypeError: - collect.add(type(seq.strip().upper())) - return list(collect) - - - -#################################### -# L I N E - R E A D E R -####################################
-
[docs]def read_lines(files, type=Peptide): - """ - Generator function: - - Read a sequence directly from a line. User needs to manually specify the - correct type of the underlying data. It can either be: - Peptide, Protein or Transcript, Allele. - - :param list(str)/str files: a list of strings of absolute file names of the FASTA files - that are to be read. Give as: - get_sequence(*["path/name1", "path/name2"]). - This field is required! - :param Peptide/Protein/Transcript/Allele type: optional. Use get_sequence(*["path/name1", "path/name2", - type="Protein"). Possible types are Peptide, Protein, Transcript and Allele. - :returns: (list(type)) -- a list of the specified objects - :exception: if a file is not readable - """ - - if isinstance(files, basestring): - files = [files] - else: - if any(not os.path.exists(f) for f in files): - raise ValueError("Specified Files do not exist") - - - collect = set() - for name in files: - with open(name, 'r') as handle: - # iterate over all lines: - for line in handle: - # generate element: - collect.add(type(line.strip().upper())) - - - return list(collect) - - -##################################### -# A N N O V A R - R E A D E R -#####################################
-
[docs]def read_annovar_exonic(annovar_file, gene_filter=None, experimentalDesig=None): - """ - Reads an gene-based ANNOVAR output file and generates Variant objects containing - all annotated transcript ids an outputs a list variants. - - :param str annovar_file: The path ot the ANNOVAR file - :param list(str) gene_filter: A list of gene names of interest (only variants associated - with these genes are generated) - :return: list(AVariant) -- List of variants fully annotated - """ - import re - - vars = [] - gene_filter = gene_filter if gene_filter is not None else [] - nm_var_dict = {} - nm_gene_name = {} - - #fgd3:nm_001083536:exon6:c.g823a:p.v275i,fgd3:nm_001286993:exon6:c.g823a:p.v275i,fgd3:nm_033086:exon6:c.g823a:p.v275i - #RE = re.compile("\w+:(\w+):exon\d+:c.(\D*)(\d+)_*(\d*)(\D\w*):p.\w+:\D*->\D*:(\D).*?,") - #RE = re.compile("\w+:(\w+):exon\d+:c.(\D*)(\d+)_*(\d*)(\D\w*):p.(\D*)(\d+)_*(\d*)(\D\w*):(\D).*?,") - RE = re.compile("((\w+):exon\d+:c.\D*(\d+)\D\w*:p.\D*(\d+)\D\w*)") - type_mapper = {('synonymous', 'snv'): VariationType.SNP, - ('nonsynonymous', 'snv'): VariationType.SNP, - ('stoploss', 'snv'): VariationType.SNP, - ('stopgain', 'snv'): VariationType.SNP, - ('nonframeshift', 'deletion'): VariationType.DEL, - ('frameshift', 'deletion'): VariationType.FSDEL, - ('nonframeshift', 'insertion'): VariationType.INS, - ('frameshift', 'insertion'): VariationType.FSINS} - with open(annovar_file, "r") as f: - for line in f: - id, type, line, chrom, genome_start, genome_stop, ref, alt, zygos=map(lambda x: x.strip().lower(), - line.split("\t")[:9]) - #print ref, alt - - #test if its a intersting snp - - gene = line.split(":")[0].strip().upper() - - if gene not in gene_filter and len(gene_filter): - continue - - if gene == "UNKNOWN": - warnings.warn("Skipping UNKWON gene") - continue - - # print "Debug ", gene, type.split(),id - #print "Debug ", line, RE.findall(line), type, zygos - coding = {} - for nm_id_pos in RE.findall(line): - mutation_string, nm_id, trans_pos, prot_start = nm_id_pos - #print "Debug ",nm_id_pos - - nm_id = nm_id.upper() - _,_,trans_coding,prot_coding = mutation_string.split(":") - coding[nm_id] = MutationSyntax(nm_id,int(trans_pos),int(prot_start),trans_coding,prot_coding) - - ty = tuple(type.split()) - - vars.append( - Variant(id, type_mapper.get(ty, VariationType.UNKNOWN), chrom, int(genome_start), ref.upper(), - alt.upper(), coding, zygos == "hom", ty[0] == "synonymous", - experimentalDesign=experimentalDesig)) - return vars
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/IO/MartsAdapter.html b/Fred2/doc/_build/html/_modules/Fred2/IO/MartsAdapter.html deleted file mode 100644 index 6e6dcbc0..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/IO/MartsAdapter.html +++ /dev/null @@ -1,740 +0,0 @@ - - - - - - - - Fred2.IO.MartsAdapter — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.IO.MartsAdapter

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: IO.MartsAdapter
-   :synopsis: BDB-Adapter for BioMart
-.. moduleauthor:: walzer, schubert
-"""
-
-import csv
-import urllib2
-import warnings
-import logging
-
-from Fred2.IO.ADBAdapter import ADBAdapter, EAdapterFields
-import MySQLdb
-
-
[docs]class MartsAdapter(ADBAdapter): - def __init__(self, usr=None, host=None, pwd=None, db=None): - """ - used to fetch sequences from given RefSeq id's either from BioMart if no credentials given else from a MySQLdb - :param usr: db user e.g. = 'ucsc_annot_query' - :param host: db host e.g. = "pride" - :param pwd: pw for user e.g. = 'an0q3ry' - :param db: db on host e.g. = "hg18_ucsc_annotation" - """ - self.ids_proxy = dict() - self.gene_proxy = dict() - self.sequence_proxy = dict() - - if usr and host and pwd and db: - self.connection = MySQLdb.connect(user=usr, host=host, passwd=pwd, db=db) - else: - self.connection = None - - self.biomart_url = "http://biomart.org/biomart/martservice?query=" - self.new_biomart_url = """http://central.biomart.org/biomart/martservice?query=""" -# self.biomart_url = """http://biomart.org/biomart/martservice?query=""" -#http://localhost:9000/biomart/martservice?query=%3C!DOCTYPE%20Query%3E%3CQuery%20client=%22biomartclient%22%20processor=%22TSV%22%20limit=%22-1%22%20header=%221%22%3E%3CDataset%20name=%22hsapiens_gene_ensembl%22%20config=%22gene_ensembl_config%22%3E%3CFilter%20name=%22uniprot_genename%22%20value=%22TP53%22%20filter_list=%22%22/%3E%3CFilter%20name=%22germ_line_variation_source%22%20value=%22dbSNP%22%20filter_list=%22%22/%3E%3CAttribute%20name=%22snp_ensembl_gene_id%22/%3E%3CAttribute%20name=%22snp_chromosome_name%22/%3E%3CAttribute%20name=%22snp_ensembl_transcript_id%22/%3E%3CAttribute%20name=%22snp_start_position%22/%3E%3CAttribute%20name=%22snp_ensembl_peptide_id%22/%3E%3CAttribute%20name=%22snp_end_position%22/%3E%3CAttribute%20name=%22snp_external_gene_name%22/%3E%3CAttribute%20name=%22snp_strand%22/%3E%3CAttribute%20name=%22source_description%22/%3E%3CAttribute%20name=%22germ_line_variation_source%22/%3E%3CAttribute%20name=%22allele%22/%3E%3CAttribute%20name=%22variation_name%22/%3E%3C/Dataset%3E%3C/Query%3E -# self.biomart_url = """http://134.2.9.124/biomart/martservice?query=""" - self.biomart_head = """ - <?xml version="1.0" encoding="UTF-8"?> - <!DOCTYPE Query> - <Query client="true" processor="TSV" limit="-1" header="1" uniqueRows = "1" > - <Dataset name="%s" config="%s"> - """.strip() - self.biomart_tail = """ - </Dataset> - </Query> - """.strip() - self.biomart_filter = """<Filter name="%s" value="%s" filter_list=""/>""" - self.biomart_attribute = """<Attribute name="%s"/>""" - - #TODO: refactor ... function based on old code -
[docs] def get_product_sequence(self, product_refseq, _db="hsapiens_gene_ensembl", _dataset='gene_ensembl_config'): - """ - fetches product sequence for the given id - :param product_refseq: given refseq id - :return: list of dictionaries of the requested sequence, the respective strand and the associated gene name - """ - - if product_refseq in self.sequence_proxy: - return self.sequence_proxy[product_refseq] - - if self.connection: - cur = self.connection.cursor() - #query = "SELECT * FROM sbs_ncbi_mrna WHERE id='%s';"%('5') - query = "SELECT refseq,seq FROM hg19_ucsc_annotation.refLink INNER JOIN sbs_ncbi_protein on protAcc=refseq WHERE mrnaAcc='%s';" % ( - product_refseq) # gives NP plus prot seq - #mysql -h genome-mysql.cse.ucsc.edu -u genome -D hg19 -N -A -e 'SELECT refseq,seq FROM hg19_ucsc_annotation.refLink INNER JOIN sbs_ncbi_protein on protAcc=refseq WHERE mrnaAcc='NM_002486';' - try: - cur.execute(query) - result = cur.fetchall() - if result: - product_refseq = result[0][0] - product_sequence = result[0][1] - else: - warnings.warn("An Error occured while executing query: " + query + "\n") - return None - except MySQLdb.Error, message: - warnings.warn( - "An Error occured while executing query: " + query + "\n" + "Error message: " + message[1]) - return None - self.sequence_proxy[product_refseq] = product_sequence - return [{product_refseq: product_sequence}] - else: - filter = None - if product_refseq.startswith('NP_'): - filter = "refseq_peptide" - elif product_refseq.startswith('XP_'): - filter = "refseq_peptide_predicted" - elif product_refseq.startswith('ENS'): - filter = "ensembl_peptide_id" - else: - warnings.warn("No correct product id: " + product_refseq) - return None - rq_n = self.biomart_head%(_db,_dataset) \ - + self.biomart_filter%(filter, str(product_refseq)) \ - + self.biomart_attribute%("peptide") \ - + self.biomart_attribute%(filter) \ - + self.biomart_attribute%("external_gene_id") \ - + self.biomart_attribute%("strand") \ - + self.biomart_tail - - logging.warn(rq_n) - - tsvreader = csv.DictReader(urllib2.urlopen(self.biomart_url+urllib2.quote(rq_n)).read().splitlines(), dialect='excel-tab') - tsvselect = [x for x in tsvreader] - if not tsvselect: - return None - self.sequence_proxy[product_refseq] = tsvselect[0]["Protein"] - return self.sequence_proxy[product_refseq] # TODO to SeqRecord - - #TODO: refactor ... function based on old code
-
[docs] def get_transcript_sequence(self, transcript_refseq, _db="hsapiens_gene_ensembl", _dataset='gene_ensembl_config'): - """ - Fetches transcript sequence for the given id - :param transcript_refseq: - :return: list of dictionary of the requested sequence, the respective strand and the associated gene name - """ - # TODO transcript_refseq to transcript_id, sniff which, query according - if transcript_refseq in self.sequence_proxy: - return self.sequence_proxy[transcript_refseq] - - if self.connection: - cur = self.connection.cursor() - #query = "SELECT * FROM sbs_ncbi_mrna WHERE id='%s';"%('5') - query = "SELECT refseq,seq FROM hg19_ucsc_annotation.sbs_ncbi_mrna WHERE refseq LIKE '" + transcript_refseq + "%'" - try: - cur.execute(query) - result = cur.fetchall() - if result: - transcript_refseq = result[0][0] - transcript_sequence = result[0][1] - if len(result) > 1: - warnings.warn("Ambiguous transcript refseq query: " + transcript_refseq + "\n") - else: - warnings.warn("An Error occured while executing query: " + query + "\n") - return None - except MySQLdb.Error, message: - warnings.warn("An Error occured while executing query: " + query + "\n" + "Error message: " + message[1]) - return None - self.sequence_proxy[transcript_refseq] = transcript_sequence - return [{transcript_refseq: transcript_sequence}] - else: - filter = None - if transcript_refseq.startswith('NM_'): - filter = "refseq_mrna" - elif transcript_refseq.startswith('XM_'): - filter = "refseq_mrna_predicted" - elif transcript_refseq.startswith('ENS'): - filter = "ensembl_transcript_id" - else: - warnings.warn("No correct transcript id: " + transcript_refseq) - return None - rq_n = self.biomart_head%(_db, _dataset) \ - + self.biomart_filter%(filter, str(transcript_refseq)) \ - + self.biomart_attribute%(filter) \ - + self.biomart_attribute%("coding") \ - + self.biomart_attribute%("external_gene_id") \ - + self.biomart_attribute%("strand") \ - + self.biomart_tail - - tsvreader = csv.DictReader(urllib2.urlopen(self.biomart_url+urllib2.quote(rq_n)).read().splitlines(), dialect='excel-tab') - tsvselect = [x for x in tsvreader] - self.sequence_proxy[transcript_refseq] = tsvselect[0]['Coding sequence'] # TODO to SeqRecord - return self.sequence_proxy[transcript_refseq] -
-
[docs] def get_transcript_information(self, transcript_refseq, _db="hsapiens_gene_ensembl", _dataset='gene_ensembl_config'): - """ - It also already uses the Field-Enum for DBAdapters - - Fetches transcript sequence for the given id - :param transcript_refseq: - :return: list of dictionary of the requested sequence, the respective strand and the associated gene name - """ - # TODO transcript_refseq to transcript_id, sniff which, query according - if transcript_refseq in self.sequence_proxy: - return self.sequence_proxy[transcript_refseq] - - if self.connection: - cur = self.connection.cursor() - #query = "SELECT * FROM sbs_ncbi_mrna WHERE id='%s';"%('5') - query = "SELECT refseq,seq FROM hg19_ucsc_annotation.sbs_ncbi_mrna WHERE refseq LIKE '" + transcript_refseq + "%'" - try: - cur.execute(query) - result = cur.fetchall() - if result: - transcript_refseq = result[0][0] - transcript_sequence = result[0][1] - if len(result) > 1: - warnings.warn("Ambiguous transcript refseq query: " + transcript_refseq + "\n") - else: - warnings.warn("An Error occured while executing query: " + query + "\n") - return None - except MySQLdb.Error, message: - warnings.warn("An Error occured while executing query: " + query + "\n" + "Error message: " + message[1]) - return None - self.ids_proxy[transcript_refseq] = transcript_sequence - return [{transcript_refseq: transcript_sequence}] - else: - filter = None - if transcript_refseq.startswith('NM_'): - filter = "refseq_mrna" - elif transcript_refseq.startswith('XM_'): - filter = "refseq_mrna_predicted" - elif transcript_refseq.startswith('ENS'): - filter = "ensembl_transcript_id" - else: - warnings.warn("No correct transcript id: " + transcript_refseq) - return None - rq_n = self.biomart_head%(_db, _dataset) \ - + self.biomart_filter%(filter, str(transcript_refseq)) \ - + self.biomart_attribute%(filter) \ - + self.biomart_attribute%("coding") \ - + self.biomart_attribute%("strand") \ - + self.biomart_tail - - print "Transcript information ",rq_n - tsvreader = csv.DictReader(urllib2.urlopen(self.biomart_url+urllib2.quote(rq_n)).read().splitlines(), dialect='excel-tab') - tsvselect = [x for x in tsvreader] - if not tsvselect: - warnings.warn("No entry found for ID %s"%transcript_refseq) - return None - - self.ids_proxy[transcript_refseq] = {EAdapterFields.SEQ: tsvselect[0]['Coding sequence'], - EAdapterFields.GENE: tsvselect[0].get('Associated Gene Name', ""), - EAdapterFields.STRAND: "-" if int(tsvselect[0]['Strand']) < 0 - else "+"} - return self.ids_proxy[transcript_refseq] - - #TODO: refactor ... function based on old code
-
[docs] def get_variant_gene(self, chrom, start, stop, _db="hsapiens_gene_ensembl", _dataset='gene_ensembl_config'): - """ - Fetches the important db ids and names for given chromosomal location - :param chrom: integer value of the chromosome in question - :param start: integer value of the variation start position on given chromosome - :param stop: integer value of the variation stop position on given chromosome - :return: The respective gene name, i.e. the first one reported - """ - if chrom + start + stop in self.gene_proxy: - return self.gene_proxy[chrom + start + stop] - - rq_n = self.biomart_head%(_db, _dataset) \ - + self.biomart_filter%("chromosome_name", str(chrom)) \ - + self.biomart_filter%("start", str(start)) \ - + self.biomart_filter%("end", str(stop)) \ - + self.biomart_attribute%("uniprot_genename") \ - + self.biomart_tail - - tsvreader = csv.DictReader((urllib2.urlopen(self.biomart_url+urllib2.quote(rq_n)).read()).splitlines(), dialect='excel-tab') - tsvselect = [x for x in tsvreader] - if tsvselect and tsvselect[0]: - self.gene_proxy[chrom + start + stop] = tsvselect[0]['UniProt Gene Name'] - return tsvselect[0]['UniProt Gene Name'] - else: - logging.warning(','.join([str(chrom), str(start), str(stop)]) + ' does not denote a known gene location') - return '' -
-
[docs] def get_transcript_information_from_protein_id(self, **kwargs): - """ - It also already uses the Field-Enum for DBAdapters - - Fetches transcript sequence for the given id - :param transcript_refseq: - :return: list of dictionary of the requested sequence, the respective strand and the associated gene name - """ - _db = kwargs.get("_db","hsapiens_gene_ensembl") - _dataset = kwargs.get("_dataset", "gene_ensembl_config") - filter = None - db_id = "" - if "refseq" in kwargs: - filter = "refseq_peptide" - db_id = kwargs["refseq"] - elif "ensemble" in kwargs: - filter = "ensembl_peptide_id" - db_id = kwargs["ensemble"] - elif "swiss_accid" in kwargs: - filter = "uniprot_swissprot_accession" - db_id = kwargs["swiss_accid"] - elif "swiss_gene" in kwargs: - filter= "uniprot_swissprot" - db_id = kwargs["swiss_gene"] - else: - warnings.warn("No correct transcript id") - return None - rq_n = self.biomart_head%(_db, _dataset) \ - + self.biomart_filter%(filter, str(db_id)) \ - + self.biomart_attribute%(filter) \ - + self.biomart_attribute%("coding") \ - + self.biomart_attribute%("external_gene_id") \ - + self.biomart_attribute%("strand") \ - + self.biomart_tail - - tsvreader = csv.DictReader(urllib2.urlopen(self.biomart_url+urllib2.quote(rq_n)).read().splitlines(), dialect='excel-tab') - tsvselect = [x for x in tsvreader] - if not tsvselect: - warnings.warn("No entry found for ID %s"%db_id) - return None - - self.ids_proxy[db_id] = {EAdapterFields.SEQ: tsvselect[0]['Coding sequence'], - EAdapterFields.GENE: tsvselect[0]['Associated Gene Name'], - EAdapterFields.STRAND: "-" if int(tsvselect[0]['Strand']) < 0 - else "+"} - return self.ids_proxy[db_id] -
-
[docs] def get_variant_id_from_protein_id(self, **kwargs): - """ - returns all information needed to instantiate a variation - - :param trans_id: A transcript ID (either ENSAMBLE (ENS) or RefSeq (NM, XN) - :return: list of dicts -- containing all information needed for a variant initialization - """ - _db = kwargs.get("_db","hsapiens_gene_ensembl") - _dataset = kwargs.get("_dataset", "gene_ensembl_config") - filter = None - db_id = "" - if "refseq" in kwargs: - filter = "refseq_peptide" - db_id = kwargs["refseq"] - elif "ensemble" in kwargs: - filter = "ensembl_peptide_id" - db_id = kwargs["ensemble"] - elif "swiss_accid" in kwargs: - filter = "uniprot_swissprot_accession" - db_id = kwargs["swiss_accid"] - elif "swiss_gene" in kwargs: - filter= "uniprot_swissprot" - db_id = kwargs["swiss_gene"] - else: - warnings.war - rq_n = self.biomart_head%(_db, _dataset) \ - + self.biomart_filter%(filter, str(db_id)) \ - + self.biomart_filter%("germ_line_variation_source", "dbSNP") \ - + self.biomart_attribute%("snp_ensembl_gene_id") \ - + self.biomart_attribute%("variation_name") \ - + self.biomart_attribute%("snp_chromosome_name") \ - + self.biomart_attribute%("chromosome_location") \ - + self.biomart_attribute%("allele") \ - + self.biomart_attribute%("snp_strand") \ - + self.biomart_attribute%("peptide_location") \ - + self.biomart_tail - tsvreader = csv.DictReader(urllib2.urlopen(self.new_biomart_url+urllib2.quote(rq_n)).read().splitlines(), dialect='excel-tab') - tsvselect = [x for x in tsvreader] - if not tsvselect: - warnings.warn("No entry found for ID %s"%db_id) - return None - - return tsvselect -
-
[docs] def get_variant_id_from_gene_id(self, **kwargs): - """ - returns all information needed to instantiate a variation - - :param trans_id: A transcript ID (either ENSAMBLE (ENS) or RefSeq (NM, XN) - :return: list of dicts -- containing all information needed for a variant initialization - """ - _db = kwargs.get("_db","hsapiens_gene_ensembl") - _dataset = kwargs.get("_dataset", "gene_ensembl_config") - filter = None - db_id = "" - if "hgnc_symbol" in kwargs: - filter = "hgnc_symbol" - db_id = kwargs["hgnc_symbol"] - elif "ensemble" in kwargs: - filter = "ensembl_gene_id" - db_id = kwargs["ensemble"] - elif "hgnc_id" in kwargs: - filter = "hgnc_id" - db_id = kwargs["hgnc_id"] - elif "swiss_gene" in kwargs: - filter = "uniprot_swissprot" - db_id = kwargs["swiss_gene"] - elif "external_gene_name" in kwargs: - filter = "external_gene_name" - db_id = kwargs["external_gene_name"] - else: - warnings.war - rq_n = self.biomart_head%(_db, _dataset) \ - + self.biomart_filter%(filter, str(db_id)) \ - + self.biomart_filter%("germ_line_variation_source", "dbSNP") \ - + self.biomart_attribute%("snp_ensembl_gene_id") \ - + self.biomart_attribute%("variation_name") \ - + self.biomart_attribute%("snp_chromosome_name") \ - + self.biomart_attribute%("chromosome_location") \ - + self.biomart_attribute%("allele") \ - + self.biomart_attribute%("snp_strand") \ - + self.biomart_attribute%("peptide_location") \ - + self.biomart_tail - tsvreader = csv.DictReader(urllib2.urlopen(self.new_biomart_url+urllib2.quote(rq_n)).read().splitlines(), dialect='excel-tab') - tsvselect = [x for x in tsvreader] - if not tsvselect: - warnings.warn("No entry found for ID %s"%db_id) - return None - - return tsvselect -
-
[docs] def get_protein_sequence_from_protein_id(self, **kwargs): - """ - Returns the protein sequence for a given protein ID that can either be refeseq, uniprot or ensamble id - - :param kwargs: - :return: - """ - filter = None - db_id = "" - - _db = kwargs.get("_db","hsapiens_gene_ensembl") - _dataset = kwargs.get("_dataset", "gene_ensembl_config") - if "refseq" in kwargs: - filter = "refseq_peptide" - db_id = kwargs["refseq"] - elif "ensemble" in kwargs: - filter = "ensembl_peptide_id" - db_id = kwargs["ensemble"] - elif "swiss_accid" in kwargs: - filter = "uniprot_swissprot_accession" - db_id = kwargs["swiss_accid"] - elif "swiss_gene" in kwargs: - filter= "uniprot_swissprot" - db_id = kwargs["swiss_gene"] - else: - warnings.warn("No correct transcript id") - return None - rq_n = self.biomart_head%(_db, _dataset) \ - + self.biomart_filter%(filter, str(db_id)) \ - + self.biomart_attribute%(filter) \ - + self.biomart_attribute%("peptide") \ - + self.biomart_tail - print rq_n - tsvreader = csv.DictReader(urllib2.urlopen(self.biomart_url+urllib2.quote(rq_n)).read().splitlines(), dialect='excel-tab') - tsvselect = [x for x in tsvreader] - print tsvselect - if not tsvselect: - warnings.warn("No entry found for ID %s"%db_id) - return None - - return {EAdapterFields.SEQ: tsvselect[0]['Coding sequence'], - EAdapterFields.GENE: tsvselect[0]['Associated Gene Name'], - EAdapterFields.STRAND: "-" if int(tsvselect[0]['Strand']) < 0 - else "+"} - - #TODO: refactor ... function based on old code
-
[docs] def get_all_variant_gene(self, locations,_db="hsapiens_gene_ensembl", _dataset='gene_ensembl_config'): - """ - Fetches the important db ids and names for given chromosomal location - :param chrom: integer value of the chromosome in question - :param start: integer value of the variation start position on given chromosome - :param stop: integer value of the variation stop position on given chromosome - :return: The respective gene name, i.e. the first one reported - """ - #TODO assert types - #<!DOCTYPE Query><Query client="true" processor="TSV" limit="-1" header="1"><Dataset name="hsapiens_gene_ensembl" config="gene_ensembl_config"><Filter name="chromosomal_region" value="1:40367114:40367114,1:40702744:40702744,1:40705023:40705023,1:40771399:40771399,1:40777210:40777210,1:40881015:40881015,1:41235036:41235036,1:42048927:42048927,1:43002232:43002232,1:43308758:43308758,1:43393391:43630154,1:43772617:43772617,1:43772834:43772834" filter_list=""/><Attribute name="uniprot_genename"/></Dataset></Query> - queries = [self.biomart_filter%("uniprot_genename", ','.join(kwargs['genes'][x:x+300])) for x in xrange(0, len(kwargs['genes']), 300)] - # if chrom + start + stop in self.gene_proxy: - # return self.gene_proxy[chrom + start + stop] - # - # rq_n = self.biomart_head \ - # + self.biomart_filter%("chromosome_name", str(chrom)) \ - # + self.biomart_filter%("start", str(start)) \ - # + self.biomart_filter%("end", str(stop)) \ - # + self.biomart_attribute%("uniprot_genename") \ - # + self.biomart_tail - # - # tsvreader = csv.DictReader((urllib2.urlopen(self.biomart_url+urllib2.quote(rq_n)).read()).splitlines(), dialect='excel-tab') - # tsvselect = [x for x in tsvreader] - # if tsvselect and tsvselect[0]: - # self.gene_proxy[chrom + start + stop] = tsvselect[0]['UniProt Gene Name'] - # return tsvselect[0]['UniProt Gene Name'] - # else: - # logging.warn(','.join([str(chrom), str(start), str(stop)]) + ' does not denote a known gene location') - # return '' - - #TODO: refactor ... function based on old code
-
[docs] def get_variant_ids(self, **kwargs): - """ - Fetches the important db ids and names for given gene _or_ chromosomal location. The former is recommended. - AResult is a list of dicts with either of the tree combinations: - - 'Ensembl Gene ID', 'Ensembl Transcript ID', 'Ensembl Protein ID' - - 'RefSeq Protein ID [e.g. NP_001005353]', 'RefSeq mRNA [e.g. NM_001195597]', first triplet - - 'RefSeq Predicted Protein ID [e.g. XP_001720922]', 'RefSeq mRNA predicted [e.g. XM_001125684]', first triplet - :keyword 'chrom': integer value of the chromosome in question - :keyword 'start': integer value of the variation start position on given chromosome - :keyword 'stop': integer value of the variation stop position on given chromosome - :keyword 'gene': string value of the gene of variation - :keyword 'transcript_id': string value of the gene of variation - :return: The list of dicts of entries with transcript and protein ids (either NM+NP or XM+XP) - """ - # TODO type assessment - _db = kwargs.get("_db","hsapiens_gene_ensembl") - _dataset = kwargs.get("_dataset", "gene_ensembl_config") - ensemble_only = False - query = None - if len(kwargs) == 4 and 'chrom' in kwargs and 'start' in kwargs and 'stop' in kwargs and 'ensemble_only' in kwargs: - ensemble_only = kwargs['ensemble_only'] - query = self.biomart_filter%("chromosome_name", kwargs['chrom']) \ - + self.biomart_filter%("start", kwargs['start']) \ - + self.biomart_filter%("end", kwargs['stop']) - if len(kwargs) == 3 and 'chrom' in kwargs and 'start' in kwargs and 'stop' in kwargs: - query = self.biomart_filter%("chromosome_name", kwargs['chrom']) \ - + self.biomart_filter%("start", kwargs['start']) \ - + self.biomart_filter%("end", kwargs['stop']) - elif len(kwargs) == 2 and 'gene' in kwargs and 'ensemble_only' in kwargs: - ensemble_only = kwargs['ensemble_only'] - query = self.biomart_filter%("uniprot_genename", kwargs['gene']) - elif len(kwargs) == 2 and 'transcript_id' in kwargs and 'ensemble_only' in kwargs: - ensemble_only = kwargs['ensemble_only'] - query = self.biomart_filter%("ensembl_transcript_id", kwargs['transcript_id']) - elif len(kwargs) == 1 and 'gene' in kwargs: - query = self.biomart_filter%("uniprot_genename", kwargs['gene']) - else: - warnings.warn("wrong arguments to get_variant_ids") - - rq_n = self.biomart_head%(_db, _dataset) \ - + query \ - + self.biomart_attribute%("uniprot_genename") \ - + self.biomart_attribute%("ensembl_gene_id") \ - + self.biomart_attribute%("ensembl_peptide_id") \ - + self.biomart_attribute%("ensembl_transcript_id") \ - + self.biomart_attribute%("strand") - if not ensemble_only: - rq_n += self.biomart_attribute%("refseq_mrna") \ - + self.biomart_attribute%("refseq_peptide") - rq_n += self.biomart_attribute%("uniprot_swissprot") + self.biomart_tail - - # logging.warning(rq_n) - - tsvreader = csv.DictReader((urllib2.urlopen(self.biomart_url+urllib2.quote(rq_n)).read()).splitlines(), dialect='excel-tab') - if ensemble_only: - result = {x['Ensembl Gene ID']+x['Ensembl Transcript ID']+x['Ensembl Protein ID']: x for x in tsvreader} - else: - result = {x['Ensembl Gene ID']+x['Ensembl Transcript ID']+x['Ensembl Protein ID']: x for x in tsvreader - if x['RefSeq Protein ID [e.g. NP_001005353]'] and x['RefSeq mRNA [e.g. NM_001195597]']} - - if not ensemble_only: - rq_x = self.biomart_head \ - + query \ - + self.biomart_attribute%("uniprot_genename") \ - + self.biomart_attribute%("ensembl_gene_id") \ - + self.biomart_attribute%("ensembl_peptide_id") \ - + self.biomart_attribute%("ensembl_transcript_id") \ - + self.biomart_attribute%("refseq_peptide_predicted") \ - + self.biomart_attribute%("refseq_mrna_predicted") \ - + self.biomart_attribute%("strand") \ - + self.biomart_tail - - tsvreader = csv.DictReader((urllib2.urlopen(self.biomart_url+urllib2.quote(rq_x)).read()).splitlines(), dialect='excel-tab') - - result2 = {x['Ensembl Gene ID']+x['Ensembl Transcript ID']+x['Ensembl Protein ID']: x for x in tsvreader - if (x['RefSeq Predicted Protein ID [e.g. XP_001720922]'] and x['RefSeq mRNA predicted [e.g. XM_001125684]']) - or (not x['RefSeq Predicted Protein ID [e.g. XP_001720922]'] and not x['RefSeq mRNA predicted [e.g. XM_001125684]'])} - result.update(result2) - - g = None - for k, v in result.iteritems(): - if 'uniprot_swissprot' in v: - g = v['uniprot_swissprot'] - self.ids_proxy[g] = result.values() - return result.values() - - #TODO: refactor ... function based on old code
-
[docs] def get_all_variant_ids(self, **kwargs): - """ - Fetches the important db ids and names for given gene _or_ chromosomal location. The former is recommended. - AResult is a list of dicts with either of the tree combinations: - - 'Ensembl Gene ID', 'Ensembl Transcript ID', 'Ensembl Protein ID' - - 'RefSeq Protein ID [e.g. NP_001005353]', 'RefSeq mRNA [e.g. NM_001195597]', first triplet - - 'RefSeq Predicted Protein ID [e.g. XP_001720922]', 'RefSeq mRNA predicted [e.g. XM_001125684]', first triplet - :keyword 'locations': list of locations as triplets of integer values representing (chrom, start, stop) - :keyword 'genes': list of genes as string value of the genes of variation - :return: The list of dicts of entries with transcript and protein ids (either NM+NP or XM+XP) - """ - _db = kwargs.get("_db","hsapiens_gene_ensembl") - _dataset = kwargs.get("_dataset", "gene_ensembl_config") - end_result = dict() - # TODO type assessment - ensemble_only = False - query = None - if 'ensemble_only' in kwargs: - ensemble_only = kwargs['ensemble_only'] - if 'locations' in kwargs: - pass - #TODO - # query = self.biomart_filter%("chromosome_name", kwargs['chrom']) \ - # + self.biomart_filter%("start", kwargs['start']) \ - # + self.biomart_filter%("end", kwargs['stop']) - elif 'genes' in kwargs: - queries = [self.biomart_filter%("uniprot_genename", ','.join(kwargs['genes'][x:x+250])) for x in xrange(0, len(kwargs['genes']), 250)] - logging.warning('***'+self.biomart_filter%("uniprot_genename", ','.join(kwargs['genes'][x:x+250])) for x in xrange(0, len(kwargs['genes']), 250)) - else: - logging.warning("wrong arguments to get_variant_ids") - for query in queries: - rq_n = self.biomart_head%(_db,_dataset) \ - + query \ - + self.biomart_attribute%("uniprot_genename") \ - + self.biomart_attribute%("ensembl_gene_id") \ - + self.biomart_attribute%("ensembl_peptide_id") \ - + self.biomart_attribute%("ensembl_transcript_id") \ - + self.biomart_attribute%("strand") - if not ensemble_only: - rq_n += self.biomart_attribute%("refseq_mrna") \ - + self.biomart_attribute%("refseq_peptide") - rq_n += self.biomart_tail - # rq_n += self.biomart_attribute%("uniprot_swissprot") + self.biomart_tail - - # logging.warning(rq_n) - - try: - tsvreader = csv.DictReader((urllib2.urlopen(self.biomart_url+urllib2.quote(rq_n)).read()).splitlines(), dialect='excel-tab') - if ensemble_only: - result = {x['Ensembl Gene ID']+x['Ensembl Transcript ID']+x['Ensembl Protein ID']: x for x in tsvreader} - else: - result = {x['Ensembl Gene ID']+x['Ensembl Transcript ID']+x['Ensembl Protein ID']: x for x in tsvreader - if x['RefSeq Protein ID [e.g. NP_001005353]'] and x['RefSeq mRNA [e.g. NM_001195597]']} - end_result.update(result) - except: - logging.error('Bad Mart Query: '+rq_n) - - if not ensemble_only: - rq_x = self.biomart_head%(_db, _dataset) \ - + query \ - + self.biomart_attribute%("uniprot_genename") \ - + self.biomart_attribute%("ensembl_gene_id") \ - + self.biomart_attribute%("ensembl_peptide_id") \ - + self.biomart_attribute%("ensembl_transcript_id") \ - + self.biomart_attribute%("refseq_peptide_predicted") \ - + self.biomart_attribute%("refseq_mrna_predicted") \ - + self.biomart_attribute%("strand") \ - + self.biomart_tail - - try: - tsvreader = csv.DictReader((urllib2.urlopen(self.biomart_url+urllib2.quote(rq_x)).read()).splitlines(), dialect='excel-tab') - - for x in tsvreader: - if (x['RefSeq Predicted Protein ID [e.g. XP_001720922]'] and x['RefSeq mRNA predicted [e.g. XM_001125684]']): - end_result.setdefault(x['Ensembl Gene ID']+x['Ensembl Transcript ID']+x['Ensembl Protein ID'], x) - # result2 = {x['Ensembl Gene ID']+x['Ensembl Transcript ID']+x['Ensembl Protein ID']: x for x in tsvreader - # if (x['RefSeq Predicted Protein ID [e.g. XP_001720922]'] and x['RefSeq mRNA predicted [e.g. XM_001125684]']) - # this line is a troublemaker and does not help or (not x['RefSeq Predicted Protein ID [e.g. XP_001720922]'] and not x['RefSeq mRNA predicted [e.g. XM_001125684]'])} - # end_result.setdefault(result2) - except: - logging.error('Bad Mart Query: '+rq_n) - - # g = None - # for k, v in result.iteritems(): - # if 'uniprot_swissprot' in v: - # g = v['uniprot_swissprot'] - # self.ids_proxy[g] = result.values() - return end_result.values()
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/IO/RefSeqAdapter.html b/Fred2/doc/_build/html/_modules/Fred2/IO/RefSeqAdapter.html deleted file mode 100644 index 4065f239..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/IO/RefSeqAdapter.html +++ /dev/null @@ -1,174 +0,0 @@ - - - - - - - - Fred2.IO.RefSeqAdapter — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.IO.RefSeqAdapter

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: IO.RefSeqAdapter
-   :synopsis: DB-Adapter class for RefSeq
-.. moduleauthor:: walzer
-"""
-
-import logging
-
-from Bio import SeqIO
-
-from Fred2.IO.ADBAdapter import ADBAdapter
-
-#TODO: refactor ... function based on old code
-
[docs]class RefSeqAdapter(ADBAdapter): - def __init__(self, prot_file=None, prot_vers=None, mrna_file=None, mrna_vers=None): - self.refseq_prot = self.load(prot_file) - self.vers_prot = prot_vers - self.refseq_mrna = self.load(mrna_file) - self.vers_mrna = mrna_vers - -
[docs] def load(self, filename): - refseq_records = dict() - with open(filename, "rU") as f: - for record in SeqIO.parse(f, "fasta"): - ridv = filter(None, record.id.split('|'))[-1] # NP_001639.1 - rid = ridv.split('.')[0] # NP_001639 - if rid not in refseq_records: - refseq_records[rid] = record - refseq_records[rid].dbxrefs.append(ridv) - refseq_records[rid].id = rid - else: - print 'claaaash!!' # TODO no clashes in v.66 but ever?! use logging.warning or something - return refseq_records -
-
[docs] def get_product_sequence(self, product_refseq): - """ - fetches product sequence for the given id - :param product_refseq: given refseq id - :return: list of dictionaries of the requested sequence, the respective strand and the associated gene name - """ - if self.refseq_prot: - if product_refseq in self.refseq_prot: - return self.refseq_prot[product_refseq] - else: - logging.warning('no such sequence') - else: - logging.warning('no sequences loaded') -
-
[docs] def get_transcript_sequence(self, transcript_refseq): - """ - Fetches transcript sequence for the given id - :param transcript_refseq: - :return: list of dictionary of the requested sequence, the respective strand and the associated gene name - """ - if self.refseq_mrna: - if transcript_refseq in self.refseq_mrna: - return self.refseq_mrna[transcript_refseq] - else: - logging.warning('no such sequence') - else: - logging.warning('no sequences loaded') -
-
[docs] def get_transcript_information(self, transcript_refseq): - pass - -# from Bio import Entrez -# >>> rec = Entrez.read(Entrez.esearch(db="protein", term="NP_001005218" )) -# /usr/local/lib/python2.7/dist-packages/biopython-1.64-py2.7-linux-x86_64.egg/Bio/Entrez/__init__.py:451: UserWarning: -# Email address is not specified. -# -# To make use of NCBI's E-utilities, NCBI requires you to specify your -# email address with each request. As an example, if your email address -# is A.N.Other@example.com, you can specify it as follows: -# from Bio import Entrez -# Entrez.email = 'A.N.Other@example.com' -# In case of excessive usage of the E-utilities, NCBI will attempt to contact -# a user at the email address provided before blocking access to the -# E-utilities. -# E-utilities.""", UserWarning) -# >>> fasta = Entrez.efetch(db="protein", id=rec["IdList"][0], rettype="fasta").read()
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/IO/UniProtAdapter.html b/Fred2/doc/_build/html/_modules/Fred2/IO/UniProtAdapter.html deleted file mode 100644 index ea3b0ba3..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/IO/UniProtAdapter.html +++ /dev/null @@ -1,255 +0,0 @@ - - - - - - - - Fred2.IO.UniProtAdapter — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.IO.UniProtAdapter

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: IO.niProtAdapter
-   :synopsis: DB-Adapter class for UniProt
-.. moduleauthor:: walzer
-"""
-
-import warnings
-import bisect
-
-from Bio import SeqIO
-
-#TODO: refactor ... function based on old code
-
[docs]class UniProtDB: - def __init__(self, name='fdb'): - """ - UniProtDB class to give quick access to entries (fast exact match searches) and convenient ways to produce - combined fasta files. Search is done with python's fast search based on a mix between boyer-moore and horspool - (http://svn.python.org/view/python/trunk/Objects/stringlib/fastsearch.h?revision=68811&view=markup) - - :param name: a name for the UniProtDB object - - Usage tutorials: - import UniProtDB - db = UniProtDB.UniProtDB('uniprot') #give it a name - db.read_seqs('/path/to/file.fasta') - l = list(SeqIO.parse(f, "fasta")) - d = SeqIO.to_dict(SeqIO.parse(f, "fasta")) - db = UniProtDB.UniProtDB('something') - db.read_seqs(l) - db.read_seqs(d) - """ - self.name = name - self.collection = {} # all the biopython seq records in a dict keyed by the id of the record - self.searchstring = '' # all sequences concatenated with a '#' - self.accs = list() # all accessions in respective order to searchstring - self.idx = list() # all indices of starting strings in the searchstring in respective order - -
[docs] def read_seqs(self, sequence_file): - """ - read sequences from uniprot files (.dat or .fasta) or from lists or dicts of BioPython SeqRecords - and make them available for fast search. Appending also with this function. - - :param sequence_file: uniprot files (.dat or .fasta) - :return: - """ - recs = sequence_file - if not isinstance(sequence_file, dict) and not isinstance(sequence_file, list): - try: - with open(sequence_file, 'rb') as f: - if sequence_file.endswith('.fa') or sequence_file.endswith('.fasta'): - recs = SeqIO.to_dict(SeqIO.parse(f, "fasta")) - else: # assume it is a dat file - recs = SeqIO.to_dict(SeqIO.parse(open(sequence_file), 'swiss')) - except: - warnings.warn("Could not read file", UserWarning) - return - if isinstance(sequence_file, list): - recs = SeqIO.to_dict(sequence_file) - if recs: - self.collection.update(recs) - self.searchstring = '#'.join([str(x.seq) for x in self.collection.values()]).decode('ascii') - self.accs = self.collection.keys() - self.idx = list() - self.idx.append(0) - for i, v in enumerate(self.collection.values()): - self.idx.append(1 + self.idx[-1] + len(self.collection.values()[i].seq)) - return -
-
[docs] def write_seqs(self, name): - """ - writes all fasta entries in the current object into one fasta file - - :param name: the complete path with file name where the fasta is going to be written - """ - with open(name, "w") as output: - SeqIO.write(self.collection.values(), output, "fasta") -
-
[docs] def exists(self, seq): - """ - fast check if given sequence exists (as subsequence) in one of the UniProtDB objects collection of sequences. - - :param seq: the subsequence to be searched for - :return: True, if it is found somewhere, False otherwise - """ - if isinstance(seq, str): - index = self.searchstring.find(seq) - if index >= 0: - return True - else: - return False - return None -
-
[docs] def search(self, seq): - """ - search for first occurrence of given sequence(s) in the UniProtDB objects collection returning (each) the fasta - header front part of the first occurrence. - - :param seq: a string interpreted as a single sequence or a list (of str) interpreted as a coll. of sequences - :return: a dictionary of sequences to lists (of ids, 'null' if n/a) - """ - if isinstance(seq, str): - ids = 'null' - index = self.searchstring.find(seq) - if index >= 0: - j = bisect.bisect(self.idx, index) - 1 - ids = self.accs[j] - return {seq: ids} - if isinstance(seq, list): - ids = list() - for i in seq: - ids.append('null') - for i, v in enumerate(seq): - index = self.searchstring.find(v) - if index >= 0: - j = bisect.bisect(self.idx, index) - 1 - ids[i] = self.accs[j] - return dict(zip(seq, ids)) - return None -
-
[docs] def search_all(self, seq): - """ - search for all occurrences of given sequence(s) in the UniProtDB objects collection returning (each) the - fasta header front part of all occurrences. - - :param seq: a string interpreted as a single sequence or a list (of str) interpreted as a coll. of sequences - :return: a dictionary of the given sequences to lists (of ids, 'null' if n/a) - """ - if isinstance(seq, str): - ids = 'null' - index = 0 - searchstring_length = len(seq) - while index < len(self.searchstring): - index = self.searchstring.find(seq, index) - if index == -1: - break - j = bisect.bisect(self.idx, index) - 1 - if ids == 'null': - ids = self.accs[j] - else: - ids = ids + ',' + self.accs[j] - index += searchstring_length - return {seq: ids} - if isinstance(seq, list): - ids = list() - for i in seq: - ids.append('null') - for i, v in enumerate(seq): - index = 0 - searchstring_length = len(v) - while index < len(self.searchstring): - index = self.searchstring.find(v, index) - if index == -1: - break - j = bisect.bisect(self.idx, index) - 1 - if ids[i] == 'null': - ids[i] = self.accs[j] - else: - ids[i] = ids[i] + ',' + self.accs[j] - index += searchstring_length - return dict(zip(seq, ids)) - return None
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/TAPPrediction.html b/Fred2/doc/_build/html/_modules/Fred2/TAPPrediction.html deleted file mode 100644 index d58a98c3..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/TAPPrediction.html +++ /dev/null @@ -1,141 +0,0 @@ - - - - - - - - Fred2.TAPPrediction — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.TAPPrediction

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: TAPPRediction
-   :synopsis: Base class for TAP prediction methods
-.. moduleauthor:: schubert
-"""
-from Fred2.Core.Base import ATAPPrediction
-from Fred2.TAPPrediction.SVM import *
-from Fred2.TAPPrediction.PSSM import *
-
-try:
-    from fred_plugin import *
-except ImportError:
-    pass
-
-
-
[docs]class TAPPredictorFactory(object): - class __metaclass__(type): - def __init__(cls, name, bases, nmspc): - type.__init__(cls, name, bases, nmspc) - - def __call__(self, _predictor, *args, **kwargs): - ''' - just as I think it works..... - - If a third person wants to write a new Epitope Predictior. He/She has to name the file fred_plugin and - inherit from AEpitopePrediction. That's it nothing more. - ''' - - version = str(kwargs["version"]).lower() if "version" in kwargs else None - try: - return ATAPPrediction[str(_predictor.lower()), version](*args) - except KeyError as e: - if version is None: - raise ValueError("Predictor %s is not known. Please verify that such an Predictor is "%_predictor + - "supported by FRED2 and inherits ATAPPrediction.") - else: - raise ValueError("Predictor %s version %s is not known. Please verify that such an Predictor is "%(_predictor, version) + - "supported by FRED2 and inherits ATAPPrediction.") - - @staticmethod -
[docs] def available_methods(): - """ - Returns a list of available TAP predictors - - :return: list of TAP predictors represented as string - """ - return {k:sorted(versions.iterkeys()) for k,versions in ATAPPrediction.registry.iteritems()}
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/TAPPrediction/PSSM.html b/Fred2/doc/_build/html/_modules/Fred2/TAPPrediction/PSSM.html deleted file mode 100644 index 95164ffd..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/TAPPrediction/PSSM.html +++ /dev/null @@ -1,235 +0,0 @@ - - - - - - - - Fred2.TAPPrediction.PSSM — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.TAPPrediction.PSSM

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: TAPPrediction.PSSM
-   :synopsis: This module contains all PSSM-based TAP prediction tools
-.. moduleauthor:: schubert
-
-"""
-
-import itertools
-import warnings
-
-from Fred2.Core.Peptide import Peptide
-from Fred2.Core.Base import ATAPPrediction
-from Fred2.Core.Result import TAPPredictionResult
-
-
-
[docs]class APSSMTAPPrediction(ATAPPrediction): - -
[docs] def predict(self, peptides, **kwargs): - - def __load_model(length): - model = "%s_%i"%(self.name, length) - return getattr( __import__("Fred2.Data.TAPPSSMMatrices", fromlist=[model]), model) - - - if isinstance(peptides, Peptide): - pep_seqs = {str(peptides):peptides} - else: - if any(not isinstance(p, Peptide) for p in peptides): - raise ValueError("Input is not of type Protein or Peptide") - pep_seqs = {str(p):p for p in peptides} - - result = {self.name:{}} - for length, peps in itertools.groupby(pep_seqs.iterkeys(), key= lambda x: len(x)): - try: - pssm = __load_model(length) - except ImportError: - warnings.warn("No model found for %s with length %i"%(self.name, length)) - continue - - for p in peps: - score = sum(pssm[i].get(aa, 0.0) for i, aa in enumerate(p))+pssm.get(-1,{}).get("con", 0) - result[self.name][pep_seqs[p]] = score - - if not result[self.name]: - raise ValueError("No predictions could be made for given input.") - df_result = TAPPredictionResult.from_dict(result) - - return df_result - -
-
[docs]class TAPDoytchinova(APSSMTAPPrediction): - """ - Implements the TAP prediction model from Doytchinova - - Doytchinova, I., Hemsley, S. and Flower, D. R. - Transporter associated with antigen processing preselection of peptides binding to the MHC: a bioinformatic evaluation. - J Immunol, 2004, 173, 6813-6819 - """ - - __name = "doytchinova" - __supported_length = frozenset([9]) - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def name(self): - return self.__name - - @property - def supportedLength(self): - return self.__supported_length - -
[docs] def predict(self, peptides, **kwargs): - return super(TAPDoytchinova, self).predict(peptides, **kwargs) - -
-
[docs]class SMMTAP(APSSMTAPPrediction): - """ - Implementation of - Peters, B., Bulik, S., Tampe, R., Van Endert, P. M., & Holzhuetter, H. G. (2003). Identifying MHC class I - epitopes by predicting the TAP transport efficiency of epitope precursors. The Journal of Immunology, - 171(4), 1741-1749. - """ - __name = "smmtap" - __supported_length = frozenset([9]) - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def name(self): - return self.__name - - @property - def supportedLength(self): - return self.__supported_length - -
[docs] def predict(self, peptides, **kwargs): - - def __load_model(length): - model = "%s_%i"%(self.name, length) - return getattr(__import__("Fred2.Data.TAPPSSMMatrices", fromlist=[model]), model) - - - if isinstance(peptides, Peptide): - pep_seqs = {str(peptides):peptides} - else: - if any(not isinstance(p, Peptide) for p in peptides): - raise ValueError("Input is not of type Protein or Peptide") - pep_seqs = {str(p):p for p in peptides} - - result = {self.name:{}} - for length, peps in itertools.groupby(pep_seqs.iterkeys(), key= lambda x: len(x)): - if length < 9: - warnings.warn("No model found for %s with length %i"%(self.name, length)) - continue - - try: - pssm = __load_model(9) - except ImportError: - warnings.warn("No model found for %s with length %i"%(self.name, length)) - continue - - for p in peps: - if length <= 9: - score = sum(pssm[i].get(aa, 0.0) for i, aa in enumerate(p)) - else: - score = sum(pssm[i].get(p[i], 0.0) for i in xrange(3))+pssm[8].get(p[-1], 0.0) - result[self.name][pep_seqs[p]] = score - - if not result[self.name]: - raise ValueError("No predictions could be made for given input.") - df_result = TAPPredictionResult.from_dict(result) - - return df_result
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/Fred2/TAPPrediction/SVM.html b/Fred2/doc/_build/html/_modules/Fred2/TAPPrediction/SVM.html deleted file mode 100644 index a3835699..00000000 --- a/Fred2/doc/_build/html/_modules/Fred2/TAPPrediction/SVM.html +++ /dev/null @@ -1,204 +0,0 @@ - - - - - - - - Fred2.TAPPrediction.SVM — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for Fred2.TAPPrediction.SVM

-# This code is part of the Fred2 distribution and governed by its
-# license.  Please see the LICENSE file that should have been included
-# as part of this package.
-"""
-.. module:: TAPPrediction.SVM
-   :synopsis: This module contains all SVM-based TAP prediction tools
-.. moduleauthor:: schubert
-
-"""
-
-import svmlight
-import collections
-import itertools
-import warnings
-import pkg_resources
-
-from Fred2.Core.Peptide import Peptide
-from Fred2.Core.Base import ATAPPrediction, ASVM
-from Fred2.Core.Result import TAPPredictionResult
-
-
-
[docs]class ASVMTAPPrediction(ATAPPrediction, ASVM): - -
[docs] def predict(self, peptides, **kwargs): - - if isinstance(peptides, Peptide): - pep_seqs = {str(peptides):peptides} - else: - if any(not isinstance(p, Peptide) for p in peptides): - raise ValueError("Input is not of type Protein or Peptide") - pep_seqs = {str(p):p for p in peptides} - - #group peptides by length and - - result = {self.name:{}} - for length, peps in itertools.groupby(pep_seqs.iterkeys(), key= lambda x: len(x)): - #load svm model - if length not in self.supportedLength: - warnings.warn("Peptide length of %i is not supported by %s"%(length,self.name)) - continue - - - encoding = self.encode(peps) - - model_path = pkg_resources.resource_filename("Fred2.Data.svms.%s"%self.name, "%s_%i"%(self.name, length)) - model = svmlight.read_model(model_path) - - pred = svmlight.classify(model, encoding.values()) - result[self.name] = {} - for pep, score in itertools.izip(encoding.keys(), pred): - result[self.name][pep_seqs[pep]] = score - - if not result[self.name]: - raise ValueError("No predictions could be made with "+self.name+" for given input.") - df_result = TAPPredictionResult.from_dict(result) - - return df_result - -
-
[docs]class SVMTAP(ASVMTAPPrediction): - """ - Implements SVMTAP prediction of Doeness et al. - - An SVM method for prediction of TAP affinities. - Doennes, P. and Kohlbacher, O. - Integrated modeling of the major events in the MHC class I antigen processing pathway. - Protein Sci, 2005 - """ - - __name = "svmtap" - __length = frozenset([9]) - __version = "1.0" - - @property - def version(self): - return self.__version - - @property - def name(self): - return self.__name - - @property - def supportedLength(self): - return self.__length - -
[docs] def encode(self, peptides): - """ - Here implements a binary sparse encoding of the peptide - - :param peptides: - :return: dict(peptide, (tuple(int, list(tuple(int,float)))) -- dictionary with peptide - as key and feature encoding as value (see svmlight encoding scheme http://svmlight.joachims.org/) - """ - AA = {'A': 1, 'C': 2, 'E': 4, 'D': 3, 'G': 6, 'F': 5, 'I': 8, 'H': 7, 'K': 9, 'M': 11, 'L': 10, 'N': 12, - 'Q': 14, 'P': 13, 'S': 16, 'R': 15, 'T': 17, 'W': 19, 'V': 18, 'Y': 20} - - def __encode(pep): - encoding = [] - offset = 0 - pep_str = str(pep) - for aa in pep_str: - encoding.append((AA[aa]+offset, 1)) - offset += 20 - return 0, encoding - - if isinstance(peptides, collections.Iterable): - return {p:__encode(p) for p in peptides} - else: - return {peptides:__encode(peptides)} -
-
[docs] def predict(self, peptides, **kwargs): - return super(SVMTAP, self).predict(peptides, **kwargs)
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/abc.html b/Fred2/doc/_build/html/_modules/abc.html deleted file mode 100644 index 52834db2..00000000 --- a/Fred2/doc/_build/html/_modules/abc.html +++ /dev/null @@ -1,276 +0,0 @@ - - - - - - - - abc — Fred2 documentation - - - - - - - - - - - - - - - - - - -
-
-
-
- -

Source code for abc

-# Copyright 2007 Google, Inc. All Rights Reserved.
-# Licensed to PSF under a Contributor Agreement.
-
-"""Abstract Base Classes (ABCs) according to PEP 3119."""
-
-import types
-
-from _weakrefset import WeakSet
-
-# Instance of old-style class
-class _C: pass
-_InstanceType = type(_C())
-
-
-def abstractmethod(funcobj):
-    """A decorator indicating abstract methods.
-
-    Requires that the metaclass is ABCMeta or derived from it.  A
-    class that has a metaclass derived from ABCMeta cannot be
-    instantiated unless all of its abstract methods are overridden.
-    The abstract methods can be called using any of the normal
-    'super' call mechanisms.
-
-    Usage:
-
-        class C:
-            __metaclass__ = ABCMeta
-            @abstractmethod
-            def my_abstract_method(self, ...):
-                ...
-    """
-    funcobj.__isabstractmethod__ = True
-    return funcobj
-
-
-class abstractproperty(property):
-    """A decorator indicating abstract properties.
-
-    Requires that the metaclass is ABCMeta or derived from it.  A
-    class that has a metaclass derived from ABCMeta cannot be
-    instantiated unless all of its abstract properties are overridden.
-    The abstract properties can be called using any of the normal
-    'super' call mechanisms.
-
-    Usage:
-
-        class C:
-            __metaclass__ = ABCMeta
-            @abstractproperty
-            def my_abstract_property(self):
-                ...
-
-    This defines a read-only property; you can also define a read-write
-    abstract property using the 'long' form of property declaration:
-
-        class C:
-            __metaclass__ = ABCMeta
-            def getx(self): ...
-            def setx(self, value): ...
-            x = abstractproperty(getx, setx)
-    """
-    __isabstractmethod__ = True
-
-
-class ABCMeta(type):
-
-    """Metaclass for defining Abstract Base Classes (ABCs).
-
-    Use this metaclass to create an ABC.  An ABC can be subclassed
-    directly, and then acts as a mix-in class.  You can also register
-    unrelated concrete classes (even built-in classes) and unrelated
-    ABCs as 'virtual subclasses' -- these and their descendants will
-    be considered subclasses of the registering ABC by the built-in
-    issubclass() function, but the registering ABC won't show up in
-    their MRO (Method Resolution Order) nor will method
-    implementations defined by the registering ABC be callable (not
-    even via super()).
-
-    """
-
-    # A global counter that is incremented each time a class is
-    # registered as a virtual subclass of anything.  It forces the
-    # negative cache to be cleared before its next use.
-    _abc_invalidation_counter = 0
-
-    def __new__(mcls, name, bases, namespace):
-        cls = super(ABCMeta, mcls).__new__(mcls, name, bases, namespace)
-        # Compute set of abstract method names
-        abstracts = set(name
-                     for name, value in namespace.items()
-                     if getattr(value, "__isabstractmethod__", False))
-        for base in bases:
-            for name in getattr(base, "__abstractmethods__", set()):
-                value = getattr(cls, name, None)
-                if getattr(value, "__isabstractmethod__", False):
-                    abstracts.add(name)
-        cls.__abstractmethods__ = frozenset(abstracts)
-        # Set up inheritance registry
-        cls._abc_registry = WeakSet()
-        cls._abc_cache = WeakSet()
-        cls._abc_negative_cache = WeakSet()
-        cls._abc_negative_cache_version = ABCMeta._abc_invalidation_counter
-        return cls
-
-    def register(cls, subclass):
-        """Register a virtual subclass of an ABC."""
-        if not isinstance(subclass, (type, types.ClassType)):
-            raise TypeError("Can only register classes")
-        if issubclass(subclass, cls):
-            return  # Already a subclass
-        # Subtle: test for cycles *after* testing for "already a subclass";
-        # this means we allow X.register(X) and interpret it as a no-op.
-        if issubclass(cls, subclass):
-            # This would create a cycle, which is bad for the algorithm below
-            raise RuntimeError("Refusing to create an inheritance cycle")
-        cls._abc_registry.add(subclass)
-        ABCMeta._abc_invalidation_counter += 1  # Invalidate negative cache
-
-    def _dump_registry(cls, file=None):
-        """Debug helper to print the ABC registry."""
-        print >> file, "Class: %s.%s" % (cls.__module__, cls.__name__)
-        print >> file, "Inv.counter: %s" % ABCMeta._abc_invalidation_counter
-        for name in sorted(cls.__dict__.keys()):
-            if name.startswith("_abc_"):
-                value = getattr(cls, name)
-                print >> file, "%s: %r" % (name, value)
-
-    def __instancecheck__(cls, instance):
-        """Override for isinstance(instance, cls)."""
-        # Inline the cache checking when it's simple.
-        subclass = getattr(instance, '__class__', None)
-        if subclass is not None and subclass in cls._abc_cache:
-            return True
-        subtype = type(instance)
-        # Old-style instances
-        if subtype is _InstanceType:
-            subtype = subclass
-        if subtype is subclass or subclass is None:
-            if (cls._abc_negative_cache_version ==
-                ABCMeta._abc_invalidation_counter and
-                subtype in cls._abc_negative_cache):
-                return False
-            # Fall back to the subclass check.
-            return cls.__subclasscheck__(subtype)
-        return (cls.__subclasscheck__(subclass) or
-                cls.__subclasscheck__(subtype))
-
-    def __subclasscheck__(cls, subclass):
-        """Override for issubclass(subclass, cls)."""
-        # Check cache
-        if subclass in cls._abc_cache:
-            return True
-        # Check negative cache; may have to invalidate
-        if cls._abc_negative_cache_version < ABCMeta._abc_invalidation_counter:
-            # Invalidate the negative cache
-            cls._abc_negative_cache = WeakSet()
-            cls._abc_negative_cache_version = ABCMeta._abc_invalidation_counter
-        elif subclass in cls._abc_negative_cache:
-            return False
-        # Check the subclass hook
-        ok = cls.__subclasshook__(subclass)
-        if ok is not NotImplemented:
-            assert isinstance(ok, bool)
-            if ok:
-                cls._abc_cache.add(subclass)
-            else:
-                cls._abc_negative_cache.add(subclass)
-            return ok
-        # Check if it's a direct subclass
-        if cls in getattr(subclass, '__mro__', ()):
-            cls._abc_cache.add(subclass)
-            return True
-        # Check if it's a subclass of a registered class (recursive)
-        for rcls in cls._abc_registry:
-            if issubclass(subclass, rcls):
-                cls._abc_cache.add(subclass)
-                return True
-        # Check if it's a subclass of a subclass (recursive)
-        for scls in cls.__subclasses__():
-            if issubclass(subclass, scls):
-                cls._abc_cache.add(subclass)
-                return True
-        # No dice; update negative cache
-        cls._abc_negative_cache.add(subclass)
-        return False
-
- -
-
-
- -
-
- - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_modules/index.html b/Fred2/doc/_build/html/_modules/index.html deleted file mode 100644 index 47228908..00000000 --- a/Fred2/doc/_build/html/_modules/index.html +++ /dev/null @@ -1,115 +0,0 @@ - - - - - - - - Overview: module code — Fred2 documentation - - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/Fred2/doc/_build/html/_sources/Fred2.CleavagePrediction.txt b/Fred2/doc/_build/html/_sources/Fred2.CleavagePrediction.txt deleted file mode 100644 index f4fd02d3..00000000 --- a/Fred2/doc/_build/html/_sources/Fred2.CleavagePrediction.txt +++ /dev/null @@ -1,30 +0,0 @@ -Fred2.CleavagePrediction package -================================ - -Submodules ----------- - -Fred2.CleavagePrediction.External module ----------------------------------------- - -.. automodule:: Fred2.CleavagePrediction.External - :members: - :undoc-members: - :show-inheritance: - -Fred2.CleavagePrediction.PSSM module ------------------------------------- - -.. automodule:: Fred2.CleavagePrediction.PSSM - :members: - :undoc-members: - :show-inheritance: - - -Module contents ---------------- - -.. automodule:: Fred2.CleavagePrediction - :members: - :undoc-members: - :show-inheritance: diff --git a/Fred2/doc/_build/html/_sources/Fred2.Core.txt b/Fred2/doc/_build/html/_sources/Fred2.Core.txt deleted file mode 100644 index bf88e1e4..00000000 --- a/Fred2/doc/_build/html/_sources/Fred2.Core.txt +++ /dev/null @@ -1,78 +0,0 @@ -Fred2.Core package -================== - -Submodules ----------- - -Fred2.Core.Allele module ------------------------- - -.. automodule:: Fred2.Core.Allele - :members: - :undoc-members: - :show-inheritance: - -Fred2.Core.Base module ----------------------- - -.. automodule:: Fred2.Core.Base - :members: - :undoc-members: - :show-inheritance: - -Fred2.Core.Generator module ---------------------------- - -.. automodule:: Fred2.Core.Generator - :members: - :undoc-members: - :show-inheritance: - -Fred2.Core.Peptide module -------------------------- - -.. automodule:: Fred2.Core.Peptide - :members: - :undoc-members: - :show-inheritance: - -Fred2.Core.Protein module -------------------------- - -.. automodule:: Fred2.Core.Protein - :members: - :undoc-members: - :show-inheritance: - -Fred2.Core.Result module ------------------------- - -.. automodule:: Fred2.Core.Result - :members: - :undoc-members: - :show-inheritance: - -Fred2.Core.Transcript module ----------------------------- - -.. automodule:: Fred2.Core.Transcript - :members: - :undoc-members: - :show-inheritance: - -Fred2.Core.Variant module -------------------------- - -.. automodule:: Fred2.Core.Variant - :members: - :undoc-members: - :show-inheritance: - - -Module contents ---------------- - -.. automodule:: Fred2.Core - :members: - :undoc-members: - :show-inheritance: diff --git a/Fred2/doc/_build/html/_sources/Fred2.Distance2Self.txt b/Fred2/doc/_build/html/_sources/Fred2.Distance2Self.txt deleted file mode 100644 index 3c631fbb..00000000 --- a/Fred2/doc/_build/html/_sources/Fred2.Distance2Self.txt +++ /dev/null @@ -1,30 +0,0 @@ -Fred2.Distance2Self package -=========================== - -Submodules ----------- - -Fred2.Distance2Self.Distance2Self module ----------------------------------------- - -.. automodule:: Fred2.Distance2Self.Distance2Self - :members: - :undoc-members: - :show-inheritance: - -Fred2.Distance2Self.DistanceMatrix module ------------------------------------------ - -.. automodule:: Fred2.Distance2Self.DistanceMatrix - :members: - :undoc-members: - :show-inheritance: - - -Module contents ---------------- - -.. automodule:: Fred2.Distance2Self - :members: - :undoc-members: - :show-inheritance: diff --git a/Fred2/doc/_build/html/_sources/Fred2.EpitopeAssembly.txt b/Fred2/doc/_build/html/_sources/Fred2.EpitopeAssembly.txt deleted file mode 100644 index e79510da..00000000 --- a/Fred2/doc/_build/html/_sources/Fred2.EpitopeAssembly.txt +++ /dev/null @@ -1,30 +0,0 @@ -Fred2.EpitopeAssembly package -============================= - -Submodules ----------- - -Fred2.EpitopeAssembly.EpitopeAssembly module --------------------------------------------- - -.. automodule:: Fred2.EpitopeAssembly.EpitopeAssembly - :members: - :undoc-members: - :show-inheritance: - -Fred2.EpitopeAssembly.MosaicVaccine module ------------------------------------------- - -.. automodule:: Fred2.EpitopeAssembly.MosaicVaccine - :members: - :undoc-members: - :show-inheritance: - - -Module contents ---------------- - -.. automodule:: Fred2.EpitopeAssembly - :members: - :undoc-members: - :show-inheritance: diff --git a/Fred2/doc/_build/html/_sources/Fred2.EpitopePrediction.txt b/Fred2/doc/_build/html/_sources/Fred2.EpitopePrediction.txt deleted file mode 100644 index 9d270a19..00000000 --- a/Fred2/doc/_build/html/_sources/Fred2.EpitopePrediction.txt +++ /dev/null @@ -1,38 +0,0 @@ -Fred2.EpitopePrediction package -=============================== - -Submodules ----------- - -Fred2.EpitopePrediction.External module ---------------------------------------- - -.. automodule:: Fred2.EpitopePrediction.External - :members: - :undoc-members: - :show-inheritance: - -Fred2.EpitopePrediction.PSSM module ------------------------------------ - -.. automodule:: Fred2.EpitopePrediction.PSSM - :members: - :undoc-members: - :show-inheritance: - -Fred2.EpitopePrediction.SVM module ----------------------------------- - -.. automodule:: Fred2.EpitopePrediction.SVM - :members: - :undoc-members: - :show-inheritance: - - -Module contents ---------------- - -.. automodule:: Fred2.EpitopePrediction - :members: - :undoc-members: - :show-inheritance: diff --git a/Fred2/doc/_build/html/_sources/Fred2.EpitopeSelection.txt b/Fred2/doc/_build/html/_sources/Fred2.EpitopeSelection.txt deleted file mode 100644 index 48813613..00000000 --- a/Fred2/doc/_build/html/_sources/Fred2.EpitopeSelection.txt +++ /dev/null @@ -1,22 +0,0 @@ -Fred2.EpitopeSelection package -============================== - -Submodules ----------- - -Fred2.EpitopeSelection.OptiTope module --------------------------------------- - -.. automodule:: Fred2.EpitopeSelection.OptiTope - :members: - :undoc-members: - :show-inheritance: - - -Module contents ---------------- - -.. automodule:: Fred2.EpitopeSelection - :members: - :undoc-members: - :show-inheritance: diff --git a/Fred2/doc/_build/html/_sources/Fred2.IO.txt b/Fred2/doc/_build/html/_sources/Fred2.IO.txt deleted file mode 100644 index 312a2243..00000000 --- a/Fred2/doc/_build/html/_sources/Fred2.IO.txt +++ /dev/null @@ -1,62 +0,0 @@ -Fred2.IO package -================ - -Submodules ----------- - -Fred2.IO.ADBAdapter module --------------------------- - -.. automodule:: Fred2.IO.ADBAdapter - :members: - :undoc-members: - :show-inheritance: - -Fred2.IO.EnsemblAdapter module ------------------------------- - -.. automodule:: Fred2.IO.EnsemblAdapter - :members: - :undoc-members: - :show-inheritance: - -Fred2.IO.FileReader module --------------------------- - -.. automodule:: Fred2.IO.FileReader - :members: - :undoc-members: - :show-inheritance: - -Fred2.IO.MartsAdapter module ----------------------------- - -.. automodule:: Fred2.IO.MartsAdapter - :members: - :undoc-members: - :show-inheritance: - -Fred2.IO.RefSeqAdapter module ------------------------------ - -.. automodule:: Fred2.IO.RefSeqAdapter - :members: - :undoc-members: - :show-inheritance: - -Fred2.IO.UniProtAdapter module ------------------------------- - -.. automodule:: Fred2.IO.UniProtAdapter - :members: - :undoc-members: - :show-inheritance: - - -Module contents ---------------- - -.. automodule:: Fred2.IO - :members: - :undoc-members: - :show-inheritance: diff --git a/Fred2/doc/_build/html/_sources/Fred2.TAPPrediction.txt b/Fred2/doc/_build/html/_sources/Fred2.TAPPrediction.txt deleted file mode 100644 index aac83786..00000000 --- a/Fred2/doc/_build/html/_sources/Fred2.TAPPrediction.txt +++ /dev/null @@ -1,30 +0,0 @@ -Fred2.TAPPrediction package -=========================== - -Submodules ----------- - -Fred2.TAPPrediction.PSSM module -------------------------------- - -.. automodule:: Fred2.TAPPrediction.PSSM - :members: - :undoc-members: - :show-inheritance: - -Fred2.TAPPrediction.SVM module ------------------------------- - -.. automodule:: Fred2.TAPPrediction.SVM - :members: - :undoc-members: - :show-inheritance: - - -Module contents ---------------- - -.. automodule:: Fred2.TAPPrediction - :members: - :undoc-members: - :show-inheritance: diff --git a/Fred2/doc/_build/html/_sources/Fred2.txt b/Fred2/doc/_build/html/_sources/Fred2.txt deleted file mode 100644 index 0761afa9..00000000 --- a/Fred2/doc/_build/html/_sources/Fred2.txt +++ /dev/null @@ -1,24 +0,0 @@ -Fred2 package -============= - -Subpackages ------------ - -.. toctree:: - - Fred2.CleavagePrediction - Fred2.Core - Fred2.Distance2Self - Fred2.EpitopeAssembly - Fred2.EpitopePrediction - Fred2.EpitopeSelection - Fred2.IO - Fred2.TAPPrediction - -Module contents ---------------- - -.. automodule:: Fred2 - :members: - :undoc-members: - :show-inheritance: diff --git a/Fred2/doc/_build/html/_sources/index.txt b/Fred2/doc/_build/html/_sources/index.txt deleted file mode 100644 index 9c0aa836..00000000 --- a/Fred2/doc/_build/html/_sources/index.txt +++ /dev/null @@ -1,23 +0,0 @@ -.. Fred2 documentation master file, created by - sphinx-quickstart on Fri Sep 11 13:22:00 2015. - You can adapt this file completely to your liking, but it should at least - contain the root `toctree` directive. - -Welcome to Fred2's documentation! -================================= - -Contents: - -.. toctree:: - :maxdepth: 4 - - Fred2 - - -Indices and tables -================== - -* :ref:`genindex` -* :ref:`modindex` -* :ref:`search` - diff --git a/Fred2/doc/_build/html/_static/ajax-loader.gif b/Fred2/doc/_build/html/_static/ajax-loader.gif deleted file mode 100644 index 61faf8cab23993bd3e1560bff0668bd628642330..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 673 zcmZ?wbhEHb6krfw_{6~Q|Nno%(3)e{?)x>&1u}A`t?OF7Z|1gRivOgXi&7IyQd1Pl zGfOfQ60;I3a`F>X^fL3(@);C=vM_KlFfb_o=k{|A33hf2a5d61U}gjg=>Rd%XaNQW zW@Cw{|b%Y*pl8F?4B9 zlo4Fz*0kZGJabY|>}Okf0}CCg{u4`zEPY^pV?j2@h+|igy0+Kz6p;@SpM4s6)XEMg z#3Y4GX>Hjlml5ftdH$4x0JGdn8~MX(U~_^d!Hi)=HU{V%g+mi8#UGbE-*ao8f#h+S z2a0-5+vc7MU$e-NhmBjLIC1v|)9+Im8x1yacJ7{^tLX(ZhYi^rpmXm0`@ku9b53aN zEXH@Y3JaztblgpxbJt{AtE1ad1Ca>{v$rwwvK(>{m~Gf_=-Ro7Fk{#;i~+{{>QtvI yb2P8Zac~?~=sRA>$6{!(^3;ZP0TPFR(G_-UDU(8Jl0?(IXu$~#4A!880|o%~Al1tN diff --git a/Fred2/doc/_build/html/_static/alabaster.css b/Fred2/doc/_build/html/_static/alabaster.css deleted file mode 100644 index 1b93bdeb..00000000 --- a/Fred2/doc/_build/html/_static/alabaster.css +++ /dev/null @@ -1,587 +0,0 @@ - - - - - - - - - - - - - - - - - - - - -@import url("basic.css"); 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(#13335) -// Support: Firefox 18+ -// - -var deletedIds = []; - -var slice = deletedIds.slice; - -var concat = deletedIds.concat; - -var push = deletedIds.push; - -var indexOf = deletedIds.indexOf; - -var class2type = {}; - -var toString = class2type.toString; - -var hasOwn = class2type.hasOwnProperty; - -var support = {}; - - - -var - version = "1.11.1", - - // Define a local copy of jQuery - jQuery = function( selector, context ) { - // The jQuery object is actually just the init constructor 'enhanced' - // Need init if jQuery is called (just allow error to be thrown if not included) - return new jQuery.fn.init( selector, context ); - }, - - // Support: Android<4.1, IE<9 - // Make sure we trim BOM and NBSP - rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g, - - // Matches dashed string for camelizing - rmsPrefix = /^-ms-/, - rdashAlpha = /-([\da-z])/gi, - - // Used by jQuery.camelCase as callback to replace() - fcamelCase = function( all, letter ) { - return letter.toUpperCase(); - }; - -jQuery.fn = jQuery.prototype = { - // The current version of jQuery being used - jquery: version, - - constructor: jQuery, - - // Start with an empty selector - selector: "", - - // The default length of a jQuery object is 0 - length: 0, - - toArray: function() { - return slice.call( this ); - }, - - // Get the Nth element in the matched element set OR - // Get the whole matched element set as a clean array - get: function( num ) { - return num != null ? - - // Return just the one element from the set - ( num < 0 ? this[ num + this.length ] : this[ num ] ) : - - // Return all the elements in a clean array - slice.call( this ); - }, - - // Take an array of elements and push it onto the stack - // (returning the new matched element set) - pushStack: function( elems ) { - - // Build a new jQuery matched element set - var ret = jQuery.merge( this.constructor(), elems ); - - // Add the old object onto the stack (as a reference) - ret.prevObject = this; - ret.context = this.context; - - // Return the newly-formed element set - return ret; - }, - - // Execute a callback for every element in the matched set. - // (You can seed the arguments with an array of args, but this is - // only used internally.) - each: function( callback, args ) { - return jQuery.each( this, callback, args ); - }, - - map: function( callback ) { - return this.pushStack( jQuery.map(this, function( elem, i ) { - return callback.call( elem, i, elem ); - })); - }, - - slice: function() { - return this.pushStack( slice.apply( this, arguments ) ); - }, - - first: function() { - return this.eq( 0 ); - }, - - last: function() { - return this.eq( -1 ); - }, - - eq: function( i ) { - var len = this.length, - j = +i + ( i < 0 ? len : 0 ); - return this.pushStack( j >= 0 && j < len ? [ this[j] ] : [] ); - }, - - end: function() { - return this.prevObject || this.constructor(null); - }, - - // For internal use only. - // Behaves like an Array's method, not like a jQuery method. - push: push, - sort: deletedIds.sort, - splice: deletedIds.splice -}; - -jQuery.extend = jQuery.fn.extend = function() { - var src, copyIsArray, copy, name, options, clone, - target = arguments[0] || {}, - i = 1, - length = arguments.length, - deep = false; - - // Handle a deep copy situation - if ( typeof target === "boolean" ) { - deep = target; - - // skip the boolean and the target - target = arguments[ i ] || {}; - i++; - } - - // Handle case when target is a string or something (possible in deep copy) - if ( typeof target !== "object" && !jQuery.isFunction(target) ) { - target = {}; - } - - // extend jQuery itself if only one argument is passed - if ( i === length ) { - target = this; - i--; - } - - for ( ; i < length; i++ ) { - // Only deal with non-null/undefined values - if ( (options = arguments[ i ]) != null ) { - // Extend the base object - for ( name in options ) { - src = target[ name ]; - copy = options[ name ]; - - // Prevent never-ending loop - if ( target === copy ) { - continue; - } - - // Recurse if we're merging plain objects or arrays - if ( deep && copy && ( jQuery.isPlainObject(copy) || (copyIsArray = jQuery.isArray(copy)) ) ) { - if ( copyIsArray ) { - copyIsArray = false; - clone = src && jQuery.isArray(src) ? src : []; - - } else { - clone = src && jQuery.isPlainObject(src) ? src : {}; - } - - // Never move original objects, clone them - target[ name ] = jQuery.extend( deep, clone, copy ); - - // Don't bring in undefined values - } else if ( copy !== undefined ) { - target[ name ] = copy; - } - } - } - } - - // Return the modified object - return target; -}; - -jQuery.extend({ - // Unique for each copy of jQuery on the page - expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ), - - // Assume jQuery is ready without the ready module - isReady: true, - - error: function( msg ) { - throw new Error( msg ); - }, - - noop: function() {}, - - // See test/unit/core.js for details concerning isFunction. - // Since version 1.3, DOM methods and functions like alert - // aren't supported. They return false on IE (#2968). - isFunction: function( obj ) { - return jQuery.type(obj) === "function"; - }, - - isArray: Array.isArray || function( obj ) { - return jQuery.type(obj) === "array"; - }, - - isWindow: function( obj ) { - /* jshint eqeqeq: false */ - return obj != null && obj == obj.window; - }, - - isNumeric: function( obj ) { - // parseFloat NaNs numeric-cast false positives (null|true|false|"") - // ...but misinterprets leading-number strings, particularly hex literals ("0x...") - // subtraction forces infinities to NaN - return !jQuery.isArray( obj ) && obj - parseFloat( obj ) >= 0; - }, - - isEmptyObject: function( obj ) { - var name; - for ( name in obj ) { - return false; - } - return true; - }, - - isPlainObject: function( obj ) { - var key; - - // Must be an Object. - // Because of IE, we also have to check the presence of the constructor property. - // Make sure that DOM nodes and window objects don't pass through, as well - if ( !obj || jQuery.type(obj) !== "object" || obj.nodeType || jQuery.isWindow( obj ) ) { - return false; - } - - try { - // Not own constructor property must be Object - if ( obj.constructor && - !hasOwn.call(obj, "constructor") && - !hasOwn.call(obj.constructor.prototype, "isPrototypeOf") ) { - return false; - } - } catch ( e ) { - // IE8,9 Will throw exceptions on certain host objects #9897 - return false; - } - - // Support: IE<9 - // Handle iteration over inherited properties before own properties. - if ( support.ownLast ) { - for ( key in obj ) { - return hasOwn.call( obj, key ); - } - } - - // Own properties are enumerated firstly, so to speed up, - // if last one is own, then all properties are own. - for ( key in obj ) {} - - return key === undefined || hasOwn.call( obj, key ); - }, - - type: function( obj ) { - if ( obj == null ) { - return obj + ""; - } - return typeof obj === "object" || typeof obj === "function" ? - class2type[ toString.call(obj) ] || "object" : - typeof obj; - }, - - // Evaluates a script in a global context - // Workarounds based on findings by Jim Driscoll - // http://weblogs.java.net/blog/driscoll/archive/2009/09/08/eval-javascript-global-context - globalEval: function( data ) { - if ( data && jQuery.trim( data ) ) { - // We use execScript on Internet Explorer - // We use an anonymous function so that context is window - // rather than jQuery in Firefox - ( window.execScript || function( data ) { - window[ "eval" ].call( window, data ); - } )( data ); - } - }, - - // Convert dashed to camelCase; used by the css and data modules - // Microsoft forgot to hump their vendor prefix (#9572) - camelCase: function( string ) { - return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase ); - }, - - nodeName: function( elem, name ) { - return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase(); - }, - - // args is for internal usage only - each: function( obj, callback, args ) { - var value, - i = 0, - length = obj.length, - isArray = isArraylike( obj ); - - if ( args ) { - if ( isArray ) { - for ( ; i < length; i++ ) { - value = callback.apply( obj[ i ], args ); - - if ( value === false ) { - break; - } - } - } else { - for ( i in obj ) { - value = callback.apply( obj[ i ], args ); - - if ( value === false ) { - break; - } - } - } - - // A special, fast, case for the most common use of each - } else { - if ( isArray ) { - for ( ; i < length; i++ ) { - value = callback.call( obj[ i ], i, obj[ i ] ); - - if ( value === false ) { - break; - } - } - } else { - for ( i in obj ) { - value = callback.call( obj[ i ], i, obj[ i ] ); - - if ( value === false ) { - break; - } - } - } - } - - return obj; - }, - - // Support: Android<4.1, IE<9 - trim: function( text ) { - return text == null ? - "" : - ( text + "" ).replace( rtrim, "" ); - }, - - // results is for internal usage only - makeArray: function( arr, results ) { - var ret = results || []; - - if ( arr != null ) { - if ( isArraylike( Object(arr) ) ) { - jQuery.merge( ret, - typeof arr === "string" ? - [ arr ] : arr - ); - } else { - push.call( ret, arr ); - } - } - - return ret; - }, - - inArray: function( elem, arr, i ) { - var len; - - if ( arr ) { - if ( indexOf ) { - return indexOf.call( arr, elem, i ); - } - - len = arr.length; - i = i ? i < 0 ? Math.max( 0, len + i ) : i : 0; - - for ( ; i < len; i++ ) { - // Skip accessing in sparse arrays - if ( i in arr && arr[ i ] === elem ) { - return i; - } - } - } - - return -1; - }, - - merge: function( first, second ) { - var len = +second.length, - j = 0, - i = first.length; - - while ( j < len ) { - first[ i++ ] = second[ j++ ]; - } - - // Support: IE<9 - // Workaround casting of .length to NaN on otherwise arraylike objects (e.g., NodeLists) - if ( len !== len ) { - while ( second[j] !== undefined ) { - first[ i++ ] = second[ j++ ]; - } - } - - first.length = i; - - return first; - }, - - grep: function( elems, callback, invert ) { - var callbackInverse, - matches = [], - i = 0, - length = elems.length, - callbackExpect = !invert; - - // Go through the array, only saving the items - // that pass the validator function - for ( ; i < length; i++ ) { - callbackInverse = !callback( elems[ i ], i ); - if ( callbackInverse !== callbackExpect ) { - matches.push( elems[ i ] ); - } - } - - return matches; - }, - - // arg is for internal usage only - map: function( elems, callback, arg ) { - var value, - i = 0, - length = elems.length, - isArray = isArraylike( elems ), - ret = []; - - // Go through the array, translating each of the items to their new values - if ( isArray ) { - for ( ; i < length; i++ ) { - value = callback( elems[ i ], i, arg ); - - if ( value != null ) { - ret.push( value ); - } - } - - // Go through every key on the object, - } else { - for ( i in elems ) { - value = callback( elems[ i ], i, arg ); - - if ( value != null ) { - ret.push( value ); - } - } - } - - // Flatten any nested arrays - return concat.apply( [], ret ); - }, - - // A global GUID counter for objects - guid: 1, - - // Bind a function to a context, optionally partially applying any - // arguments. - proxy: function( fn, context ) { - var args, proxy, tmp; - - if ( typeof context === "string" ) { - tmp = fn[ context ]; - context = fn; - fn = tmp; - } - - // Quick check to determine if target is callable, in the spec - // this throws a TypeError, but we will just return undefined. - if ( !jQuery.isFunction( fn ) ) { - return undefined; - } - - // Simulated bind - args = slice.call( arguments, 2 ); - proxy = function() { - return fn.apply( context || this, args.concat( slice.call( arguments ) ) ); - }; - - // Set the guid of unique handler to the same of original handler, so it can be removed - proxy.guid = fn.guid = fn.guid || jQuery.guid++; - - return proxy; - }, - - now: function() { - return +( new Date() ); - }, - - // jQuery.support is not used in Core but other projects attach their - // properties to it so it needs to exist. - support: support -}); - -// Populate the class2type map -jQuery.each("Boolean Number String Function Array Date RegExp Object Error".split(" "), function(i, name) { - class2type[ "[object " + name + "]" ] = name.toLowerCase(); -}); - -function isArraylike( obj ) { - var length = obj.length, - type = jQuery.type( obj ); - - if ( type === "function" || jQuery.isWindow( obj ) ) { - return false; - } - - if ( obj.nodeType === 1 && length ) { - return true; - } - - return type === "array" || length === 0 || - typeof length === "number" && length > 0 && ( length - 1 ) in obj; -} -var Sizzle = -/*! - * Sizzle CSS Selector Engine v1.10.19 - * http://sizzlejs.com/ - * - * Copyright 2013 jQuery Foundation, Inc. and other contributors - * Released under the MIT license - * http://jquery.org/license - * - * Date: 2014-04-18 - */ -(function( window ) { - -var i, - support, - Expr, - getText, - isXML, - tokenize, - compile, - select, - outermostContext, - sortInput, - hasDuplicate, - - // Local document vars - setDocument, - document, - docElem, - documentIsHTML, - rbuggyQSA, - rbuggyMatches, - matches, - contains, - - // Instance-specific data - expando = "sizzle" + -(new Date()), - preferredDoc = window.document, - dirruns = 0, - done = 0, - classCache = createCache(), - tokenCache = createCache(), - compilerCache = createCache(), - sortOrder = function( a, b ) { - if ( a === b ) { - hasDuplicate = true; - } - return 0; - }, - - // General-purpose constants - strundefined = typeof undefined, - MAX_NEGATIVE = 1 << 31, - - // Instance methods - hasOwn = ({}).hasOwnProperty, - arr = [], - pop = arr.pop, - push_native = arr.push, - push = arr.push, - slice = arr.slice, - // Use a stripped-down indexOf if we can't use a native one - indexOf = arr.indexOf || function( elem ) { - var i = 0, - len = this.length; - for ( ; i < len; i++ ) { - if ( this[i] === elem ) { - return i; - } - } - return -1; - }, - - booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped", - - // Regular expressions - - // Whitespace characters http://www.w3.org/TR/css3-selectors/#whitespace - whitespace = "[\\x20\\t\\r\\n\\f]", - // http://www.w3.org/TR/css3-syntax/#characters - characterEncoding = "(?:\\\\.|[\\w-]|[^\\x00-\\xa0])+", - - // Loosely modeled on CSS identifier characters - // An unquoted value should be a CSS identifier http://www.w3.org/TR/css3-selectors/#attribute-selectors - // Proper syntax: http://www.w3.org/TR/CSS21/syndata.html#value-def-identifier - identifier = characterEncoding.replace( "w", "w#" ), - - // Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors - attributes = "\\[" + whitespace + "*(" + characterEncoding + ")(?:" + whitespace + - // Operator (capture 2) - "*([*^$|!~]?=)" + whitespace + - // "Attribute values must be CSS identifiers [capture 5] or strings [capture 3 or capture 4]" - "*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" + whitespace + - "*\\]", - - pseudos = ":(" + characterEncoding + ")(?:\\((" + - // To reduce the number of selectors needing tokenize in the preFilter, prefer arguments: - // 1. quoted (capture 3; capture 4 or capture 5) - "('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" + - // 2. simple (capture 6) - "((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" + - // 3. anything else (capture 2) - ".*" + - ")\\)|)", - - // Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter - rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" + whitespace + "+$", "g" ), - - rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ), - rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace + "*" ), - - rattributeQuotes = new RegExp( "=" + whitespace + "*([^\\]'\"]*?)" + whitespace + "*\\]", "g" ), - - rpseudo = new RegExp( pseudos ), - ridentifier = new RegExp( "^" + identifier + "$" ), - - matchExpr = { - "ID": new RegExp( "^#(" + characterEncoding + ")" ), - "CLASS": new RegExp( "^\\.(" + characterEncoding + ")" ), - "TAG": new RegExp( "^(" + characterEncoding.replace( "w", "w*" ) + ")" ), - "ATTR": new RegExp( "^" + attributes ), - "PSEUDO": new RegExp( "^" + pseudos ), - "CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" + whitespace + - "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" + whitespace + - "*(\\d+)|))" + whitespace + "*\\)|)", "i" ), - "bool": new RegExp( "^(?:" + booleans + ")$", "i" ), - // For use in libraries implementing .is() - // We use this for POS matching in `select` - "needsContext": new RegExp( "^" + whitespace + "*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + - whitespace + "*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" ) - }, - - rinputs = /^(?:input|select|textarea|button)$/i, - rheader = /^h\d$/i, - - rnative = /^[^{]+\{\s*\[native \w/, - - // Easily-parseable/retrievable ID or TAG or CLASS selectors - rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/, - - rsibling = /[+~]/, - rescape = /'|\\/g, - - // CSS escapes http://www.w3.org/TR/CSS21/syndata.html#escaped-characters - runescape = new RegExp( "\\\\([\\da-f]{1,6}" + whitespace + "?|(" + whitespace + ")|.)", "ig" ), - funescape = function( _, escaped, escapedWhitespace ) { - var high = "0x" + escaped - 0x10000; - // NaN means non-codepoint - // Support: Firefox<24 - // Workaround erroneous numeric interpretation of +"0x" - return high !== high || escapedWhitespace ? - escaped : - high < 0 ? - // BMP codepoint - String.fromCharCode( high + 0x10000 ) : - // Supplemental Plane codepoint (surrogate pair) - String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 ); - }; - -// Optimize for push.apply( _, NodeList ) -try { - push.apply( - (arr = slice.call( preferredDoc.childNodes )), - preferredDoc.childNodes - ); - // Support: Android<4.0 - // Detect silently failing push.apply - arr[ preferredDoc.childNodes.length ].nodeType; -} catch ( e ) { - push = { apply: arr.length ? - - // Leverage slice if possible - function( target, els ) { - push_native.apply( target, slice.call(els) ); - } : - - // Support: IE<9 - // Otherwise append directly - function( target, els ) { - var j = target.length, - i = 0; - // Can't trust NodeList.length - while ( (target[j++] = els[i++]) ) {} - target.length = j - 1; - } - }; -} - -function Sizzle( selector, context, results, seed ) { - var match, elem, m, nodeType, - // QSA vars - i, groups, old, nid, newContext, newSelector; - - if ( ( context ? context.ownerDocument || context : preferredDoc ) !== document ) { - setDocument( context ); - } - - context = context || document; - results = results || []; - - if ( !selector || typeof selector !== "string" ) { - return results; - } - - if ( (nodeType = context.nodeType) !== 1 && nodeType !== 9 ) { - return []; - } - - if ( documentIsHTML && !seed ) { - - // Shortcuts - if ( (match = rquickExpr.exec( selector )) ) { - // Speed-up: Sizzle("#ID") - if ( (m = match[1]) ) { - if ( nodeType === 9 ) { - elem = context.getElementById( m ); - // Check parentNode to catch when Blackberry 4.6 returns - // nodes that are no longer in the document (jQuery #6963) - if ( elem && elem.parentNode ) { - // Handle the case where IE, Opera, and Webkit return items - // by name instead of ID - if ( elem.id === m ) { - results.push( elem ); - return results; - } - } else { - return results; - } - } else { - // Context is not a document - if ( context.ownerDocument && (elem = context.ownerDocument.getElementById( m )) && - contains( context, elem ) && elem.id === m ) { - results.push( elem ); - return results; - } - } - - // Speed-up: Sizzle("TAG") - } else if ( match[2] ) { - push.apply( results, context.getElementsByTagName( selector ) ); - return results; - - // Speed-up: Sizzle(".CLASS") - } else if ( (m = match[3]) && support.getElementsByClassName && context.getElementsByClassName ) { - push.apply( results, context.getElementsByClassName( m ) ); - return results; - } - } - - // QSA path - if ( support.qsa && (!rbuggyQSA || !rbuggyQSA.test( selector )) ) { - nid = old = expando; - newContext = context; - newSelector = nodeType === 9 && selector; - - // qSA works strangely on Element-rooted queries - // We can work around this by specifying an extra ID on the root - // and working up from there (Thanks to Andrew Dupont for the technique) - // IE 8 doesn't work on object elements - if ( nodeType === 1 && context.nodeName.toLowerCase() !== "object" ) { - groups = tokenize( selector ); - - if ( (old = context.getAttribute("id")) ) { - nid = old.replace( rescape, "\\$&" ); - } else { - context.setAttribute( "id", nid ); - } - nid = "[id='" + nid + "'] "; - - i = groups.length; - while ( i-- ) { - groups[i] = nid + toSelector( groups[i] ); - } - newContext = rsibling.test( selector ) && testContext( context.parentNode ) || context; - newSelector = groups.join(","); - } - - if ( newSelector ) { - try { - push.apply( results, - newContext.querySelectorAll( newSelector ) - ); - return results; - } catch(qsaError) { - } finally { - if ( !old ) { - context.removeAttribute("id"); - } - } - } - } - } - - // All others - return select( selector.replace( rtrim, "$1" ), context, results, seed ); -} - -/** - * Create key-value caches of limited size - * @returns {Function(string, Object)} Returns the Object data after storing it on itself with - * property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength) - * deleting the oldest entry - */ -function createCache() { - var keys = []; - - function cache( key, value ) { - // Use (key + " ") to avoid collision with native prototype properties (see Issue #157) - if ( keys.push( key + " " ) > Expr.cacheLength ) { - // Only keep the most recent entries - delete cache[ keys.shift() ]; - } - return (cache[ key + " " ] = value); - } - return cache; -} - -/** - * Mark a function for special use by Sizzle - * @param {Function} fn The function to mark - */ -function markFunction( fn ) { - fn[ expando ] = true; - return fn; -} - -/** - * Support testing using an element - * @param {Function} fn Passed the created div and expects a boolean result - */ -function assert( fn ) { - var div = document.createElement("div"); - - try { - return !!fn( div ); - } catch (e) { - return false; - } finally { - // Remove from its parent by default - if ( div.parentNode ) { - div.parentNode.removeChild( div ); - } - // release memory in IE - div = null; - } -} - -/** - * Adds the same handler for all of the specified attrs - * @param {String} attrs Pipe-separated list of attributes - * @param {Function} handler The method that will be applied - */ -function addHandle( attrs, handler ) { - var arr = attrs.split("|"), - i = attrs.length; - - while ( i-- ) { - Expr.attrHandle[ arr[i] ] = handler; - } -} - -/** - * Checks document order of two siblings - * @param {Element} a - * @param {Element} b - * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b - */ -function siblingCheck( a, b ) { - var cur = b && a, - diff = cur && a.nodeType === 1 && b.nodeType === 1 && - ( ~b.sourceIndex || MAX_NEGATIVE ) - - ( ~a.sourceIndex || MAX_NEGATIVE ); - - // Use IE sourceIndex if available on both nodes - if ( diff ) { - return diff; - } - - // Check if b follows a - if ( cur ) { - while ( (cur = cur.nextSibling) ) { - if ( cur === b ) { - return -1; - } - } - } - - return a ? 1 : -1; -} - -/** - * Returns a function to use in pseudos for input types - * @param {String} type - */ -function createInputPseudo( type ) { - return function( elem ) { - var name = elem.nodeName.toLowerCase(); - return name === "input" && elem.type === type; - }; -} - -/** - * Returns a function to use in pseudos for buttons - * @param {String} type - */ -function createButtonPseudo( type ) { - return function( elem ) { - var name = elem.nodeName.toLowerCase(); - return (name === "input" || name === "button") && elem.type === type; - }; -} - -/** - * Returns a function to use in pseudos for positionals - * @param {Function} fn - */ -function createPositionalPseudo( fn ) { - return markFunction(function( argument ) { - argument = +argument; - return markFunction(function( seed, matches ) { - var j, - matchIndexes = fn( [], seed.length, argument ), - i = matchIndexes.length; - - // Match elements found at the specified indexes - while ( i-- ) { - if ( seed[ (j = matchIndexes[i]) ] ) { - seed[j] = !(matches[j] = seed[j]); - } - } - }); - }); -} - -/** - * Checks a node for validity as a Sizzle context - * @param {Element|Object=} context - * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value - */ -function testContext( context ) { - return context && typeof context.getElementsByTagName !== strundefined && context; -} - -// Expose support vars for convenience -support = Sizzle.support = {}; - -/** - * Detects XML nodes - * @param {Element|Object} elem An element or a document - * @returns {Boolean} True iff elem is a non-HTML XML node - */ -isXML = Sizzle.isXML = function( elem ) { - // documentElement is verified for cases where it doesn't yet exist - // (such as loading iframes in IE - #4833) - var documentElement = elem && (elem.ownerDocument || elem).documentElement; - return documentElement ? documentElement.nodeName !== "HTML" : false; -}; - -/** - * Sets document-related variables once based on the current document - * @param {Element|Object} [doc] An element or document object to use to set the document - * @returns {Object} Returns the current document - */ -setDocument = Sizzle.setDocument = function( node ) { - var hasCompare, - doc = node ? node.ownerDocument || node : preferredDoc, - parent = doc.defaultView; - - // If no document and documentElement is available, return - if ( doc === document || doc.nodeType !== 9 || !doc.documentElement ) { - return document; - } - - // Set our document - document = doc; - docElem = doc.documentElement; - - // Support tests - documentIsHTML = !isXML( doc ); - - // Support: IE>8 - // If iframe document is assigned to "document" variable and if iframe has been reloaded, - // IE will throw "permission denied" error when accessing "document" variable, see jQuery #13936 - // IE6-8 do not support the defaultView property so parent will be undefined - if ( parent && parent !== parent.top ) { - // IE11 does not have attachEvent, so all must suffer - if ( parent.addEventListener ) { - parent.addEventListener( "unload", function() { - setDocument(); - }, false ); - } else if ( parent.attachEvent ) { - parent.attachEvent( "onunload", function() { - setDocument(); - }); - } - } - - /* Attributes - ---------------------------------------------------------------------- */ - - // Support: IE<8 - // Verify that getAttribute really returns attributes and not properties (excepting IE8 booleans) - support.attributes = assert(function( div ) { - div.className = "i"; - return !div.getAttribute("className"); - }); - - /* getElement(s)By* - ---------------------------------------------------------------------- */ - - // Check if getElementsByTagName("*") returns only elements - support.getElementsByTagName = assert(function( div ) { - div.appendChild( doc.createComment("") ); - return !div.getElementsByTagName("*").length; - }); - - // Check if getElementsByClassName can be trusted - support.getElementsByClassName = rnative.test( doc.getElementsByClassName ) && assert(function( div ) { - div.innerHTML = "

"; - - // Support: Safari<4 - // Catch class over-caching - div.firstChild.className = "i"; - // Support: Opera<10 - // Catch gEBCN failure to find non-leading classes - return div.getElementsByClassName("i").length === 2; - }); - - // Support: IE<10 - // Check if getElementById returns elements by name - // The broken getElementById methods don't pick up programatically-set names, - // so use a roundabout getElementsByName test - support.getById = assert(function( div ) { - docElem.appendChild( div ).id = expando; - return !doc.getElementsByName || !doc.getElementsByName( expando ).length; - }); - - // ID find and filter - if ( support.getById ) { - Expr.find["ID"] = function( id, context ) { - if ( typeof context.getElementById !== strundefined && documentIsHTML ) { - var m = context.getElementById( id ); - // Check parentNode to catch when Blackberry 4.6 returns - // nodes that are no longer in the document #6963 - return m && m.parentNode ? [ m ] : []; - } - }; - Expr.filter["ID"] = function( id ) { - var attrId = id.replace( runescape, funescape ); - return function( elem ) { - return elem.getAttribute("id") === attrId; - }; - }; - } else { - // Support: IE6/7 - // getElementById is not reliable as a find shortcut - delete Expr.find["ID"]; - - Expr.filter["ID"] = function( id ) { - var attrId = id.replace( runescape, funescape ); - return function( elem ) { - var node = typeof elem.getAttributeNode !== strundefined && elem.getAttributeNode("id"); - return node && node.value === attrId; - }; - }; - } - - // Tag - Expr.find["TAG"] = support.getElementsByTagName ? - function( tag, context ) { - if ( typeof context.getElementsByTagName !== strundefined ) { - return context.getElementsByTagName( tag ); - } - } : - function( tag, context ) { - var elem, - tmp = [], - i = 0, - results = context.getElementsByTagName( tag ); - - // Filter out possible comments - if ( tag === "*" ) { - while ( (elem = results[i++]) ) { - if ( elem.nodeType === 1 ) { - tmp.push( elem ); - } - } - - return tmp; - } - return results; - }; - - // Class - Expr.find["CLASS"] = support.getElementsByClassName && function( className, context ) { - if ( typeof context.getElementsByClassName !== strundefined && documentIsHTML ) { - return context.getElementsByClassName( className ); - } - }; - - /* QSA/matchesSelector - ---------------------------------------------------------------------- */ - - // QSA and matchesSelector support - - // matchesSelector(:active) reports false when true (IE9/Opera 11.5) - rbuggyMatches = []; - - // qSa(:focus) reports false when true (Chrome 21) - // We allow this because of a bug in IE8/9 that throws an error - // whenever `document.activeElement` is accessed on an iframe - // So, we allow :focus to pass through QSA all the time to avoid the IE error - // See http://bugs.jquery.com/ticket/13378 - rbuggyQSA = []; - - if ( (support.qsa = rnative.test( doc.querySelectorAll )) ) { - // Build QSA regex - // Regex strategy adopted from Diego Perini - assert(function( div ) { - // Select is set to empty string on purpose - // This is to test IE's treatment of not explicitly - // setting a boolean content attribute, - // since its presence should be enough - // http://bugs.jquery.com/ticket/12359 - div.innerHTML = ""; - - // Support: IE8, Opera 11-12.16 - // Nothing should be selected when empty strings follow ^= or $= or *= - // The test attribute must be unknown in Opera but "safe" for WinRT - // http://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section - if ( div.querySelectorAll("[msallowclip^='']").length ) { - rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" ); - } - - // Support: IE8 - // Boolean attributes and "value" are not treated correctly - if ( !div.querySelectorAll("[selected]").length ) { - rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" ); - } - - // Webkit/Opera - :checked should return selected option elements - // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked - // IE8 throws error here and will not see later tests - if ( !div.querySelectorAll(":checked").length ) { - rbuggyQSA.push(":checked"); - } - }); - - assert(function( div ) { - // Support: Windows 8 Native Apps - // The type and name attributes are restricted during .innerHTML assignment - var input = doc.createElement("input"); - input.setAttribute( "type", "hidden" ); - div.appendChild( input ).setAttribute( "name", "D" ); - - // Support: IE8 - // Enforce case-sensitivity of name attribute - if ( div.querySelectorAll("[name=d]").length ) { - rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" ); - } - - // FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled) - // IE8 throws error here and will not see later tests - if ( !div.querySelectorAll(":enabled").length ) { - rbuggyQSA.push( ":enabled", ":disabled" ); - } - - // Opera 10-11 does not throw on post-comma invalid pseudos - div.querySelectorAll("*,:x"); - rbuggyQSA.push(",.*:"); - }); - } - - if ( (support.matchesSelector = rnative.test( (matches = docElem.matches || - docElem.webkitMatchesSelector || - docElem.mozMatchesSelector || - docElem.oMatchesSelector || - docElem.msMatchesSelector) )) ) { - - assert(function( div ) { - // Check to see if it's possible to do matchesSelector - // on a disconnected node (IE 9) - support.disconnectedMatch = matches.call( div, "div" ); - - // This should fail with an exception - // Gecko does not error, returns false instead - matches.call( div, "[s!='']:x" ); - rbuggyMatches.push( "!=", pseudos ); - }); - } - - rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join("|") ); - rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join("|") ); - - /* Contains - ---------------------------------------------------------------------- */ - hasCompare = rnative.test( docElem.compareDocumentPosition ); - - // Element contains another - // Purposefully does not implement inclusive descendent - // As in, an element does not contain itself - contains = hasCompare || rnative.test( docElem.contains ) ? - function( a, b ) { - var adown = a.nodeType === 9 ? a.documentElement : a, - bup = b && b.parentNode; - return a === bup || !!( bup && bup.nodeType === 1 && ( - adown.contains ? - adown.contains( bup ) : - a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16 - )); - } : - function( a, b ) { - if ( b ) { - while ( (b = b.parentNode) ) { - if ( b === a ) { - return true; - } - } - } - return false; - }; - - /* Sorting - ---------------------------------------------------------------------- */ - - // Document order sorting - sortOrder = hasCompare ? - function( a, b ) { - - // Flag for duplicate removal - if ( a === b ) { - hasDuplicate = true; - return 0; - } - - // Sort on method existence if only one input has compareDocumentPosition - var compare = !a.compareDocumentPosition - !b.compareDocumentPosition; - if ( compare ) { - return compare; - } - - // Calculate position if both inputs belong to the same document - compare = ( a.ownerDocument || a ) === ( b.ownerDocument || b ) ? - a.compareDocumentPosition( b ) : - - // Otherwise we know they are disconnected - 1; - - // Disconnected nodes - if ( compare & 1 || - (!support.sortDetached && b.compareDocumentPosition( a ) === compare) ) { - - // Choose the first element that is related to our preferred document - if ( a === doc || a.ownerDocument === preferredDoc && contains(preferredDoc, a) ) { - return -1; - } - if ( b === doc || b.ownerDocument === preferredDoc && contains(preferredDoc, b) ) { - return 1; - } - - // Maintain original order - return sortInput ? - ( indexOf.call( sortInput, a ) - indexOf.call( sortInput, b ) ) : - 0; - } - - return compare & 4 ? -1 : 1; - } : - function( a, b ) { - // Exit early if the nodes are identical - if ( a === b ) { - hasDuplicate = true; - return 0; - } - - var cur, - i = 0, - aup = a.parentNode, - bup = b.parentNode, - ap = [ a ], - bp = [ b ]; - - // Parentless nodes are either documents or disconnected - if ( !aup || !bup ) { - return a === doc ? -1 : - b === doc ? 1 : - aup ? -1 : - bup ? 1 : - sortInput ? - ( indexOf.call( sortInput, a ) - indexOf.call( sortInput, b ) ) : - 0; - - // If the nodes are siblings, we can do a quick check - } else if ( aup === bup ) { - return siblingCheck( a, b ); - } - - // Otherwise we need full lists of their ancestors for comparison - cur = a; - while ( (cur = cur.parentNode) ) { - ap.unshift( cur ); - } - cur = b; - while ( (cur = cur.parentNode) ) { - bp.unshift( cur ); - } - - // Walk down the tree looking for a discrepancy - while ( ap[i] === bp[i] ) { - i++; - } - - return i ? - // Do a sibling check if the nodes have a common ancestor - siblingCheck( ap[i], bp[i] ) : - - // Otherwise nodes in our document sort first - ap[i] === preferredDoc ? -1 : - bp[i] === preferredDoc ? 1 : - 0; - }; - - return doc; -}; - -Sizzle.matches = function( expr, elements ) { - return Sizzle( expr, null, null, elements ); -}; - -Sizzle.matchesSelector = function( elem, expr ) { - // Set document vars if needed - if ( ( elem.ownerDocument || elem ) !== document ) { - setDocument( elem ); - } - - // Make sure that attribute selectors are quoted - expr = expr.replace( rattributeQuotes, "='$1']" ); - - if ( support.matchesSelector && documentIsHTML && - ( !rbuggyMatches || !rbuggyMatches.test( expr ) ) && - ( !rbuggyQSA || !rbuggyQSA.test( expr ) ) ) { - - try { - var ret = matches.call( elem, expr ); - - // IE 9's matchesSelector returns false on disconnected nodes - if ( ret || support.disconnectedMatch || - // As well, disconnected nodes are said to be in a document - // fragment in IE 9 - elem.document && elem.document.nodeType !== 11 ) { - return ret; - } - } catch(e) {} - } - - return Sizzle( expr, document, null, [ elem ] ).length > 0; -}; - -Sizzle.contains = function( context, elem ) { - // Set document vars if needed - if ( ( context.ownerDocument || context ) !== document ) { - setDocument( context ); - } - return contains( context, elem ); -}; - -Sizzle.attr = function( elem, name ) { - // Set document vars if needed - if ( ( elem.ownerDocument || elem ) !== document ) { - setDocument( elem ); - } - - var fn = Expr.attrHandle[ name.toLowerCase() ], - // Don't get fooled by Object.prototype properties (jQuery #13807) - val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ? - fn( elem, name, !documentIsHTML ) : - undefined; - - return val !== undefined ? - val : - support.attributes || !documentIsHTML ? - elem.getAttribute( name ) : - (val = elem.getAttributeNode(name)) && val.specified ? - val.value : - null; -}; - -Sizzle.error = function( msg ) { - throw new Error( "Syntax error, unrecognized expression: " + msg ); -}; - -/** - * Document sorting and removing duplicates - * @param {ArrayLike} results - */ -Sizzle.uniqueSort = function( results ) { - var elem, - duplicates = [], - j = 0, - i = 0; - - // Unless we *know* we can detect duplicates, assume their presence - hasDuplicate = !support.detectDuplicates; - sortInput = !support.sortStable && results.slice( 0 ); - results.sort( sortOrder ); - - if ( hasDuplicate ) { - while ( (elem = results[i++]) ) { - if ( elem === results[ i ] ) { - j = duplicates.push( i ); - } - } - while ( j-- ) { - results.splice( duplicates[ j ], 1 ); - } - } - - // Clear input after sorting to release objects - // See https://github.com/jquery/sizzle/pull/225 - sortInput = null; - - return results; -}; - -/** - * Utility function for retrieving the text value of an array of DOM nodes - * @param {Array|Element} elem - */ -getText = Sizzle.getText = function( elem ) { - var node, - ret = "", - i = 0, - nodeType = elem.nodeType; - - if ( !nodeType ) { - // If no nodeType, this is expected to be an array - while ( (node = elem[i++]) ) { - // Do not traverse comment nodes - ret += getText( node ); - } - } else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) { - // Use textContent for elements - // innerText usage removed for consistency of new lines (jQuery #11153) - if ( typeof elem.textContent === "string" ) { - return elem.textContent; - } else { - // Traverse its children - for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { - ret += getText( elem ); - } - } - } else if ( nodeType === 3 || nodeType === 4 ) { - return elem.nodeValue; - } - // Do not include comment or processing instruction nodes - - return ret; -}; - -Expr = Sizzle.selectors = { - - // Can be adjusted by the user - cacheLength: 50, - - createPseudo: markFunction, - - match: matchExpr, - - attrHandle: {}, - - find: {}, - - relative: { - ">": { dir: "parentNode", first: true }, - " ": { dir: "parentNode" }, - "+": { dir: "previousSibling", first: true }, - "~": { dir: "previousSibling" } - }, - - preFilter: { - "ATTR": function( match ) { - match[1] = match[1].replace( runescape, funescape ); - - // Move the given value to match[3] whether quoted or unquoted - match[3] = ( match[3] || match[4] || match[5] || "" ).replace( runescape, funescape ); - - if ( match[2] === "~=" ) { - match[3] = " " + match[3] + " "; - } - - return match.slice( 0, 4 ); - }, - - "CHILD": function( match ) { - /* matches from matchExpr["CHILD"] - 1 type (only|nth|...) - 2 what (child|of-type) - 3 argument (even|odd|\d*|\d*n([+-]\d+)?|...) - 4 xn-component of xn+y argument ([+-]?\d*n|) - 5 sign of xn-component - 6 x of xn-component - 7 sign of y-component - 8 y of y-component - */ - match[1] = match[1].toLowerCase(); - - if ( match[1].slice( 0, 3 ) === "nth" ) { - // nth-* requires argument - if ( !match[3] ) { - Sizzle.error( match[0] ); - } - - // numeric x and y parameters for Expr.filter.CHILD - // remember that false/true cast respectively to 0/1 - match[4] = +( match[4] ? match[5] + (match[6] || 1) : 2 * ( match[3] === "even" || match[3] === "odd" ) ); - match[5] = +( ( match[7] + match[8] ) || match[3] === "odd" ); - - // other types prohibit arguments - } else if ( match[3] ) { - Sizzle.error( match[0] ); - } - - return match; - }, - - "PSEUDO": function( match ) { - var excess, - unquoted = !match[6] && match[2]; - - if ( matchExpr["CHILD"].test( match[0] ) ) { - return null; - } - - // Accept quoted arguments as-is - if ( match[3] ) { - match[2] = match[4] || match[5] || ""; - - // Strip excess characters from unquoted arguments - } else if ( unquoted && rpseudo.test( unquoted ) && - // Get excess from tokenize (recursively) - (excess = tokenize( unquoted, true )) && - // advance to the next closing parenthesis - (excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length) ) { - - // excess is a negative index - match[0] = match[0].slice( 0, excess ); - match[2] = unquoted.slice( 0, excess ); - } - - // Return only captures needed by the pseudo filter method (type and argument) - return match.slice( 0, 3 ); - } - }, - - filter: { - - "TAG": function( nodeNameSelector ) { - var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase(); - return nodeNameSelector === "*" ? - function() { return true; } : - function( elem ) { - return elem.nodeName && elem.nodeName.toLowerCase() === nodeName; - }; - }, - - "CLASS": function( className ) { - var pattern = classCache[ className + " " ]; - - return pattern || - (pattern = new RegExp( "(^|" + whitespace + ")" + className + "(" + whitespace + "|$)" )) && - classCache( className, function( elem ) { - return pattern.test( typeof elem.className === "string" && elem.className || typeof elem.getAttribute !== strundefined && elem.getAttribute("class") || "" ); - }); - }, - - "ATTR": function( name, operator, check ) { - return function( elem ) { - var result = Sizzle.attr( elem, name ); - - if ( result == null ) { - return operator === "!="; - } - if ( !operator ) { - return true; - } - - result += ""; - - return operator === "=" ? result === check : - operator === "!=" ? result !== check : - operator === "^=" ? check && result.indexOf( check ) === 0 : - operator === "*=" ? check && result.indexOf( check ) > -1 : - operator === "$=" ? check && result.slice( -check.length ) === check : - operator === "~=" ? ( " " + result + " " ).indexOf( check ) > -1 : - operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" : - false; - }; - }, - - "CHILD": function( type, what, argument, first, last ) { - var simple = type.slice( 0, 3 ) !== "nth", - forward = type.slice( -4 ) !== "last", - ofType = what === "of-type"; - - return first === 1 && last === 0 ? - - // Shortcut for :nth-*(n) - function( elem ) { - return !!elem.parentNode; - } : - - function( elem, context, xml ) { - var cache, outerCache, node, diff, nodeIndex, start, - dir = simple !== forward ? "nextSibling" : "previousSibling", - parent = elem.parentNode, - name = ofType && elem.nodeName.toLowerCase(), - useCache = !xml && !ofType; - - if ( parent ) { - - // :(first|last|only)-(child|of-type) - if ( simple ) { - while ( dir ) { - node = elem; - while ( (node = node[ dir ]) ) { - if ( ofType ? node.nodeName.toLowerCase() === name : node.nodeType === 1 ) { - return false; - } - } - // Reverse direction for :only-* (if we haven't yet done so) - start = dir = type === "only" && !start && "nextSibling"; - } - return true; - } - - start = [ forward ? parent.firstChild : parent.lastChild ]; - - // non-xml :nth-child(...) stores cache data on `parent` - if ( forward && useCache ) { - // Seek `elem` from a previously-cached index - outerCache = parent[ expando ] || (parent[ expando ] = {}); - cache = outerCache[ type ] || []; - nodeIndex = cache[0] === dirruns && cache[1]; - diff = cache[0] === dirruns && cache[2]; - node = nodeIndex && parent.childNodes[ nodeIndex ]; - - while ( (node = ++nodeIndex && node && node[ dir ] || - - // Fallback to seeking `elem` from the start - (diff = nodeIndex = 0) || start.pop()) ) { - - // When found, cache indexes on `parent` and break - if ( node.nodeType === 1 && ++diff && node === elem ) { - outerCache[ type ] = [ dirruns, nodeIndex, diff ]; - break; - } - } - - // Use previously-cached element index if available - } else if ( useCache && (cache = (elem[ expando ] || (elem[ expando ] = {}))[ type ]) && cache[0] === dirruns ) { - diff = cache[1]; - - // xml :nth-child(...) or :nth-last-child(...) or :nth(-last)?-of-type(...) - } else { - // Use the same loop as above to seek `elem` from the start - while ( (node = ++nodeIndex && node && node[ dir ] || - (diff = nodeIndex = 0) || start.pop()) ) { - - if ( ( ofType ? node.nodeName.toLowerCase() === name : node.nodeType === 1 ) && ++diff ) { - // Cache the index of each encountered element - if ( useCache ) { - (node[ expando ] || (node[ expando ] = {}))[ type ] = [ dirruns, diff ]; - } - - if ( node === elem ) { - break; - } - } - } - } - - // Incorporate the offset, then check against cycle size - diff -= last; - return diff === first || ( diff % first === 0 && diff / first >= 0 ); - } - }; - }, - - "PSEUDO": function( pseudo, argument ) { - // pseudo-class names are case-insensitive - // http://www.w3.org/TR/selectors/#pseudo-classes - // Prioritize by case sensitivity in case custom pseudos are added with uppercase letters - // Remember that setFilters inherits from pseudos - var args, - fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] || - Sizzle.error( "unsupported pseudo: " + pseudo ); - - // The user may use createPseudo to indicate that - // arguments are needed to create the filter function - // just as Sizzle does - if ( fn[ expando ] ) { - return fn( argument ); - } - - // But maintain support for old signatures - if ( fn.length > 1 ) { - args = [ pseudo, pseudo, "", argument ]; - return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ? - markFunction(function( seed, matches ) { - var idx, - matched = fn( seed, argument ), - i = matched.length; - while ( i-- ) { - idx = indexOf.call( seed, matched[i] ); - seed[ idx ] = !( matches[ idx ] = matched[i] ); - } - }) : - function( elem ) { - return fn( elem, 0, args ); - }; - } - - return fn; - } - }, - - pseudos: { - // Potentially complex pseudos - "not": markFunction(function( selector ) { - // Trim the selector passed to compile - // to avoid treating leading and trailing - // spaces as combinators - var input = [], - results = [], - matcher = compile( selector.replace( rtrim, "$1" ) ); - - return matcher[ expando ] ? - markFunction(function( seed, matches, context, xml ) { - var elem, - unmatched = matcher( seed, null, xml, [] ), - i = seed.length; - - // Match elements unmatched by `matcher` - while ( i-- ) { - if ( (elem = unmatched[i]) ) { - seed[i] = !(matches[i] = elem); - } - } - }) : - function( elem, context, xml ) { - input[0] = elem; - matcher( input, null, xml, results ); - return !results.pop(); - }; - }), - - "has": markFunction(function( selector ) { - return function( elem ) { - return Sizzle( selector, elem ).length > 0; - }; - }), - - "contains": markFunction(function( text ) { - return function( elem ) { - return ( elem.textContent || elem.innerText || getText( elem ) ).indexOf( text ) > -1; - }; - }), - - // "Whether an element is represented by a :lang() selector - // is based solely on the element's language value - // being equal to the identifier C, - // or beginning with the identifier C immediately followed by "-". - // The matching of C against the element's language value is performed case-insensitively. - // The identifier C does not have to be a valid language name." - // http://www.w3.org/TR/selectors/#lang-pseudo - "lang": markFunction( function( lang ) { - // lang value must be a valid identifier - if ( !ridentifier.test(lang || "") ) { - Sizzle.error( "unsupported lang: " + lang ); - } - lang = lang.replace( runescape, funescape ).toLowerCase(); - return function( elem ) { - var elemLang; - do { - if ( (elemLang = documentIsHTML ? - elem.lang : - elem.getAttribute("xml:lang") || elem.getAttribute("lang")) ) { - - elemLang = elemLang.toLowerCase(); - return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0; - } - } while ( (elem = elem.parentNode) && elem.nodeType === 1 ); - return false; - }; - }), - - // Miscellaneous - "target": function( elem ) { - var hash = window.location && window.location.hash; - return hash && hash.slice( 1 ) === elem.id; - }, - - "root": function( elem ) { - return elem === docElem; - }, - - "focus": function( elem ) { - return elem === document.activeElement && (!document.hasFocus || document.hasFocus()) && !!(elem.type || elem.href || ~elem.tabIndex); - }, - - // Boolean properties - "enabled": function( elem ) { - return elem.disabled === false; - }, - - "disabled": function( elem ) { - return elem.disabled === true; - }, - - "checked": function( elem ) { - // In CSS3, :checked should return both checked and selected elements - // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked - var nodeName = elem.nodeName.toLowerCase(); - return (nodeName === "input" && !!elem.checked) || (nodeName === "option" && !!elem.selected); - }, - - "selected": function( elem ) { - // Accessing this property makes selected-by-default - // options in Safari work properly - if ( elem.parentNode ) { - elem.parentNode.selectedIndex; - } - - return elem.selected === true; - }, - - // Contents - "empty": function( elem ) { - // http://www.w3.org/TR/selectors/#empty-pseudo - // :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5), - // but not by others (comment: 8; processing instruction: 7; etc.) - // nodeType < 6 works because attributes (2) do not appear as children - for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { - if ( elem.nodeType < 6 ) { - return false; - } - } - return true; - }, - - "parent": function( elem ) { - return !Expr.pseudos["empty"]( elem ); - }, - - // Element/input types - "header": function( elem ) { - return rheader.test( elem.nodeName ); - }, - - "input": function( elem ) { - return rinputs.test( elem.nodeName ); - }, - - "button": function( elem ) { - var name = elem.nodeName.toLowerCase(); - return name === "input" && elem.type === "button" || name === "button"; - }, - - "text": function( elem ) { - var attr; - return elem.nodeName.toLowerCase() === "input" && - elem.type === "text" && - - // Support: IE<8 - // New HTML5 attribute values (e.g., "search") appear with elem.type === "text" - ( (attr = elem.getAttribute("type")) == null || attr.toLowerCase() === "text" ); - }, - - // Position-in-collection - "first": createPositionalPseudo(function() { - return [ 0 ]; - }), - - "last": createPositionalPseudo(function( matchIndexes, length ) { - return [ length - 1 ]; - }), - - "eq": createPositionalPseudo(function( matchIndexes, length, argument ) { - return [ argument < 0 ? argument + length : argument ]; - }), - - "even": createPositionalPseudo(function( matchIndexes, length ) { - var i = 0; - for ( ; i < length; i += 2 ) { - matchIndexes.push( i ); - } - return matchIndexes; - }), - - "odd": createPositionalPseudo(function( matchIndexes, length ) { - var i = 1; - for ( ; i < length; i += 2 ) { - matchIndexes.push( i ); - } - return matchIndexes; - }), - - "lt": createPositionalPseudo(function( matchIndexes, length, argument ) { - var i = argument < 0 ? argument + length : argument; - for ( ; --i >= 0; ) { - matchIndexes.push( i ); - } - return matchIndexes; - }), - - "gt": createPositionalPseudo(function( matchIndexes, length, argument ) { - var i = argument < 0 ? argument + length : argument; - for ( ; ++i < length; ) { - matchIndexes.push( i ); - } - return matchIndexes; - }) - } -}; - -Expr.pseudos["nth"] = Expr.pseudos["eq"]; - -// Add button/input type pseudos -for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) { - Expr.pseudos[ i ] = createInputPseudo( i ); -} -for ( i in { submit: true, reset: true } ) { - Expr.pseudos[ i ] = createButtonPseudo( i ); -} - -// Easy API for creating new setFilters -function setFilters() {} -setFilters.prototype = Expr.filters = Expr.pseudos; -Expr.setFilters = new setFilters(); - -tokenize = Sizzle.tokenize = function( selector, parseOnly ) { - var matched, match, tokens, type, - soFar, groups, preFilters, - cached = tokenCache[ selector + " " ]; - - if ( cached ) { - return parseOnly ? 0 : cached.slice( 0 ); - } - - soFar = selector; - groups = []; - preFilters = Expr.preFilter; - - while ( soFar ) { - - // Comma and first run - if ( !matched || (match = rcomma.exec( soFar )) ) { - if ( match ) { - // Don't consume trailing commas as valid - soFar = soFar.slice( match[0].length ) || soFar; - } - groups.push( (tokens = []) ); - } - - matched = false; - - // Combinators - if ( (match = rcombinators.exec( soFar )) ) { - matched = match.shift(); - tokens.push({ - value: matched, - // Cast descendant combinators to space - type: match[0].replace( rtrim, " " ) - }); - soFar = soFar.slice( matched.length ); - } - - // Filters - for ( type in Expr.filter ) { - if ( (match = matchExpr[ type ].exec( soFar )) && (!preFilters[ type ] || - (match = preFilters[ type ]( match ))) ) { - matched = match.shift(); - tokens.push({ - value: matched, - type: type, - matches: match - }); - soFar = soFar.slice( matched.length ); - } - } - - if ( !matched ) { - break; - } - } - - // Return the length of the invalid excess - // if we're just parsing - // Otherwise, throw an error or return tokens - return parseOnly ? - soFar.length : - soFar ? - Sizzle.error( selector ) : - // Cache the tokens - tokenCache( selector, groups ).slice( 0 ); -}; - -function toSelector( tokens ) { - var i = 0, - len = tokens.length, - selector = ""; - for ( ; i < len; i++ ) { - selector += tokens[i].value; - } - return selector; -} - -function addCombinator( matcher, combinator, base ) { - var dir = combinator.dir, - checkNonElements = base && dir === "parentNode", - doneName = done++; - - return combinator.first ? - // Check against closest ancestor/preceding element - function( elem, context, xml ) { - while ( (elem = elem[ dir ]) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - return matcher( elem, context, xml ); - } - } - } : - - // Check against all ancestor/preceding elements - function( elem, context, xml ) { - var oldCache, outerCache, - newCache = [ dirruns, doneName ]; - - // We can't set arbitrary data on XML nodes, so they don't benefit from dir caching - if ( xml ) { - while ( (elem = elem[ dir ]) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - if ( matcher( elem, context, xml ) ) { - return true; - } - } - } - } else { - while ( (elem = elem[ dir ]) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - outerCache = elem[ expando ] || (elem[ expando ] = {}); - if ( (oldCache = outerCache[ dir ]) && - oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) { - - // Assign to newCache so results back-propagate to previous elements - return (newCache[ 2 ] = oldCache[ 2 ]); - } else { - // Reuse newcache so results back-propagate to previous elements - outerCache[ dir ] = newCache; - - // A match means we're done; a fail means we have to keep checking - if ( (newCache[ 2 ] = matcher( elem, context, xml )) ) { - return true; - } - } - } - } - } - }; -} - -function elementMatcher( matchers ) { - return matchers.length > 1 ? - function( elem, context, xml ) { - var i = matchers.length; - while ( i-- ) { - if ( !matchers[i]( elem, context, xml ) ) { - return false; - } - } - return true; - } : - matchers[0]; -} - -function multipleContexts( selector, contexts, results ) { - var i = 0, - len = contexts.length; - for ( ; i < len; i++ ) { - Sizzle( selector, contexts[i], results ); - } - return results; -} - -function condense( unmatched, map, filter, context, xml ) { - var elem, - newUnmatched = [], - i = 0, - len = unmatched.length, - mapped = map != null; - - for ( ; i < len; i++ ) { - if ( (elem = unmatched[i]) ) { - if ( !filter || filter( elem, context, xml ) ) { - newUnmatched.push( elem ); - if ( mapped ) { - map.push( i ); - } - } - } - } - - return newUnmatched; -} - -function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) { - if ( postFilter && !postFilter[ expando ] ) { - postFilter = setMatcher( postFilter ); - } - if ( postFinder && !postFinder[ expando ] ) { - postFinder = setMatcher( postFinder, postSelector ); - } - return markFunction(function( seed, results, context, xml ) { - var temp, i, elem, - preMap = [], - postMap = [], - preexisting = results.length, - - // Get initial elements from seed or context - elems = seed || multipleContexts( selector || "*", context.nodeType ? [ context ] : context, [] ), - - // Prefilter to get matcher input, preserving a map for seed-results synchronization - matcherIn = preFilter && ( seed || !selector ) ? - condense( elems, preMap, preFilter, context, xml ) : - elems, - - matcherOut = matcher ? - // If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results, - postFinder || ( seed ? preFilter : preexisting || postFilter ) ? - - // ...intermediate processing is necessary - [] : - - // ...otherwise use results directly - results : - matcherIn; - - // Find primary matches - if ( matcher ) { - matcher( matcherIn, matcherOut, context, xml ); - } - - // Apply postFilter - if ( postFilter ) { - temp = condense( matcherOut, postMap ); - postFilter( temp, [], context, xml ); - - // Un-match failing elements by moving them back to matcherIn - i = temp.length; - while ( i-- ) { - if ( (elem = temp[i]) ) { - matcherOut[ postMap[i] ] = !(matcherIn[ postMap[i] ] = elem); - } - } - } - - if ( seed ) { - if ( postFinder || preFilter ) { - if ( postFinder ) { - // Get the final matcherOut by condensing this intermediate into postFinder contexts - temp = []; - i = matcherOut.length; - while ( i-- ) { - if ( (elem = matcherOut[i]) ) { - // Restore matcherIn since elem is not yet a final match - temp.push( (matcherIn[i] = elem) ); - } - } - postFinder( null, (matcherOut = []), temp, xml ); - } - - // Move matched elements from seed to results to keep them synchronized - i = matcherOut.length; - while ( i-- ) { - if ( (elem = matcherOut[i]) && - (temp = postFinder ? indexOf.call( seed, elem ) : preMap[i]) > -1 ) { - - seed[temp] = !(results[temp] = elem); - } - } - } - - // Add elements to results, through postFinder if defined - } else { - matcherOut = condense( - matcherOut === results ? - matcherOut.splice( preexisting, matcherOut.length ) : - matcherOut - ); - if ( postFinder ) { - postFinder( null, results, matcherOut, xml ); - } else { - push.apply( results, matcherOut ); - } - } - }); -} - -function matcherFromTokens( tokens ) { - var checkContext, matcher, j, - len = tokens.length, - leadingRelative = Expr.relative[ tokens[0].type ], - implicitRelative = leadingRelative || Expr.relative[" "], - i = leadingRelative ? 1 : 0, - - // The foundational matcher ensures that elements are reachable from top-level context(s) - matchContext = addCombinator( function( elem ) { - return elem === checkContext; - }, implicitRelative, true ), - matchAnyContext = addCombinator( function( elem ) { - return indexOf.call( checkContext, elem ) > -1; - }, implicitRelative, true ), - matchers = [ function( elem, context, xml ) { - return ( !leadingRelative && ( xml || context !== outermostContext ) ) || ( - (checkContext = context).nodeType ? - matchContext( elem, context, xml ) : - matchAnyContext( elem, context, xml ) ); - } ]; - - for ( ; i < len; i++ ) { - if ( (matcher = Expr.relative[ tokens[i].type ]) ) { - matchers = [ addCombinator(elementMatcher( matchers ), matcher) ]; - } else { - matcher = Expr.filter[ tokens[i].type ].apply( null, tokens[i].matches ); - - // Return special upon seeing a positional matcher - if ( matcher[ expando ] ) { - // Find the next relative operator (if any) for proper handling - j = ++i; - for ( ; j < len; j++ ) { - if ( Expr.relative[ tokens[j].type ] ) { - break; - } - } - return setMatcher( - i > 1 && elementMatcher( matchers ), - i > 1 && toSelector( - // If the preceding token was a descendant combinator, insert an implicit any-element `*` - tokens.slice( 0, i - 1 ).concat({ value: tokens[ i - 2 ].type === " " ? "*" : "" }) - ).replace( rtrim, "$1" ), - matcher, - i < j && matcherFromTokens( tokens.slice( i, j ) ), - j < len && matcherFromTokens( (tokens = tokens.slice( j )) ), - j < len && toSelector( tokens ) - ); - } - matchers.push( matcher ); - } - } - - return elementMatcher( matchers ); -} - -function matcherFromGroupMatchers( elementMatchers, setMatchers ) { - var bySet = setMatchers.length > 0, - byElement = elementMatchers.length > 0, - superMatcher = function( seed, context, xml, results, outermost ) { - var elem, j, matcher, - matchedCount = 0, - i = "0", - unmatched = seed && [], - setMatched = [], - contextBackup = outermostContext, - // We must always have either seed elements or outermost context - elems = seed || byElement && Expr.find["TAG"]( "*", outermost ), - // Use integer dirruns iff this is the outermost matcher - dirrunsUnique = (dirruns += contextBackup == null ? 1 : Math.random() || 0.1), - len = elems.length; - - if ( outermost ) { - outermostContext = context !== document && context; - } - - // Add elements passing elementMatchers directly to results - // Keep `i` a string if there are no elements so `matchedCount` will be "00" below - // Support: IE<9, Safari - // Tolerate NodeList properties (IE: "length"; Safari: ) matching elements by id - for ( ; i !== len && (elem = elems[i]) != null; i++ ) { - if ( byElement && elem ) { - j = 0; - while ( (matcher = elementMatchers[j++]) ) { - if ( matcher( elem, context, xml ) ) { - results.push( elem ); - break; - } - } - if ( outermost ) { - dirruns = dirrunsUnique; - } - } - - // Track unmatched elements for set filters - if ( bySet ) { - // They will have gone through all possible matchers - if ( (elem = !matcher && elem) ) { - matchedCount--; - } - - // Lengthen the array for every element, matched or not - if ( seed ) { - unmatched.push( elem ); - } - } - } - - // Apply set filters to unmatched elements - matchedCount += i; - if ( bySet && i !== matchedCount ) { - j = 0; - while ( (matcher = setMatchers[j++]) ) { - matcher( unmatched, setMatched, context, xml ); - } - - if ( seed ) { - // Reintegrate element matches to eliminate the need for sorting - if ( matchedCount > 0 ) { - while ( i-- ) { - if ( !(unmatched[i] || setMatched[i]) ) { - setMatched[i] = pop.call( results ); - } - } - } - - // Discard index placeholder values to get only actual matches - setMatched = condense( setMatched ); - } - - // Add matches to results - push.apply( results, setMatched ); - - // Seedless set matches succeeding multiple successful matchers stipulate sorting - if ( outermost && !seed && setMatched.length > 0 && - ( matchedCount + setMatchers.length ) > 1 ) { - - Sizzle.uniqueSort( results ); - } - } - - // Override manipulation of globals by nested matchers - if ( outermost ) { - dirruns = dirrunsUnique; - outermostContext = contextBackup; - } - - return unmatched; - }; - - return bySet ? - markFunction( superMatcher ) : - superMatcher; -} - -compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) { - var i, - setMatchers = [], - elementMatchers = [], - cached = compilerCache[ selector + " " ]; - - if ( !cached ) { - // Generate a function of recursive functions that can be used to check each element - if ( !match ) { - match = tokenize( selector ); - } - i = match.length; - while ( i-- ) { - cached = matcherFromTokens( match[i] ); - if ( cached[ expando ] ) { - setMatchers.push( cached ); - } else { - elementMatchers.push( cached ); - } - } - - // Cache the compiled function - cached = compilerCache( selector, matcherFromGroupMatchers( elementMatchers, setMatchers ) ); - - // Save selector and tokenization - cached.selector = selector; - } - return cached; -}; - -/** - * A low-level selection function that works with Sizzle's compiled - * selector functions - * @param {String|Function} selector A selector or a pre-compiled - * selector function built with Sizzle.compile - * @param {Element} context - * @param {Array} [results] - * @param {Array} [seed] A set of elements to match against - */ -select = Sizzle.select = function( selector, context, results, seed ) { - var i, tokens, token, type, find, - compiled = typeof selector === "function" && selector, - match = !seed && tokenize( (selector = compiled.selector || selector) ); - - results = results || []; - - // Try to minimize operations if there is no seed and only one group - if ( match.length === 1 ) { - - // Take a shortcut and set the context if the root selector is an ID - tokens = match[0] = match[0].slice( 0 ); - if ( tokens.length > 2 && (token = tokens[0]).type === "ID" && - support.getById && context.nodeType === 9 && documentIsHTML && - Expr.relative[ tokens[1].type ] ) { - - context = ( Expr.find["ID"]( token.matches[0].replace(runescape, funescape), context ) || [] )[0]; - if ( !context ) { - return results; - - // Precompiled matchers will still verify ancestry, so step up a level - } else if ( compiled ) { - context = context.parentNode; - } - - selector = selector.slice( tokens.shift().value.length ); - } - - // Fetch a seed set for right-to-left matching - i = matchExpr["needsContext"].test( selector ) ? 0 : tokens.length; - while ( i-- ) { - token = tokens[i]; - - // Abort if we hit a combinator - if ( Expr.relative[ (type = token.type) ] ) { - break; - } - if ( (find = Expr.find[ type ]) ) { - // Search, expanding context for leading sibling combinators - if ( (seed = find( - token.matches[0].replace( runescape, funescape ), - rsibling.test( tokens[0].type ) && testContext( context.parentNode ) || context - )) ) { - - // If seed is empty or no tokens remain, we can return early - tokens.splice( i, 1 ); - selector = seed.length && toSelector( tokens ); - if ( !selector ) { - push.apply( results, seed ); - return results; - } - - break; - } - } - } - } - - // Compile and execute a filtering function if one is not provided - // Provide `match` to avoid retokenization if we modified the selector above - ( compiled || compile( selector, match ) )( - seed, - context, - !documentIsHTML, - results, - rsibling.test( selector ) && testContext( context.parentNode ) || context - ); - return results; -}; - -// One-time assignments - -// Sort stability -support.sortStable = expando.split("").sort( sortOrder ).join("") === expando; - -// Support: Chrome<14 -// Always assume duplicates if they aren't passed to the comparison function -support.detectDuplicates = !!hasDuplicate; - -// Initialize against the default document -setDocument(); - -// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27) -// Detached nodes confoundingly follow *each other* -support.sortDetached = assert(function( div1 ) { - // Should return 1, but returns 4 (following) - return div1.compareDocumentPosition( document.createElement("div") ) & 1; -}); - -// Support: IE<8 -// Prevent attribute/property "interpolation" -// http://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx -if ( !assert(function( div ) { - div.innerHTML = ""; - return div.firstChild.getAttribute("href") === "#" ; -}) ) { - addHandle( "type|href|height|width", function( elem, name, isXML ) { - if ( !isXML ) { - return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 ); - } - }); -} - -// Support: IE<9 -// Use defaultValue in place of getAttribute("value") -if ( !support.attributes || !assert(function( div ) { - div.innerHTML = ""; - div.firstChild.setAttribute( "value", "" ); - return div.firstChild.getAttribute( "value" ) === ""; -}) ) { - addHandle( "value", function( elem, name, isXML ) { - if ( !isXML && elem.nodeName.toLowerCase() === "input" ) { - return elem.defaultValue; - } - }); -} - -// Support: IE<9 -// Use getAttributeNode to fetch booleans when getAttribute lies -if ( !assert(function( div ) { - return div.getAttribute("disabled") == null; -}) ) { - addHandle( booleans, function( elem, name, isXML ) { - var val; - if ( !isXML ) { - return elem[ name ] === true ? name.toLowerCase() : - (val = elem.getAttributeNode( name )) && val.specified ? - val.value : - null; - } - }); -} - -return Sizzle; - -})( window ); - - - -jQuery.find = Sizzle; -jQuery.expr = Sizzle.selectors; -jQuery.expr[":"] = jQuery.expr.pseudos; -jQuery.unique = Sizzle.uniqueSort; -jQuery.text = Sizzle.getText; -jQuery.isXMLDoc = Sizzle.isXML; -jQuery.contains = Sizzle.contains; - - - -var rneedsContext = jQuery.expr.match.needsContext; - -var rsingleTag = (/^<(\w+)\s*\/?>(?:<\/\1>|)$/); - - - -var risSimple = /^.[^:#\[\.,]*$/; - -// Implement the identical functionality for filter and not -function winnow( elements, qualifier, not ) { - if ( jQuery.isFunction( qualifier ) ) { - return jQuery.grep( elements, function( elem, i ) { - /* jshint -W018 */ - return !!qualifier.call( elem, i, elem ) !== not; - }); - - } - - if ( qualifier.nodeType ) { - return jQuery.grep( elements, function( elem ) { - return ( elem === qualifier ) !== not; - }); - - } - - if ( typeof qualifier === "string" ) { - if ( risSimple.test( qualifier ) ) { - return jQuery.filter( qualifier, elements, not ); - } - - qualifier = jQuery.filter( qualifier, elements ); - } - - return jQuery.grep( elements, function( elem ) { - return ( jQuery.inArray( elem, qualifier ) >= 0 ) !== not; - }); -} - -jQuery.filter = function( expr, elems, not ) { - var elem = elems[ 0 ]; - - if ( not ) { - expr = ":not(" + expr + ")"; - } - - return elems.length === 1 && elem.nodeType === 1 ? - jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : [] : - jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) { - return elem.nodeType === 1; - })); -}; - -jQuery.fn.extend({ - find: function( selector ) { - var i, - ret = [], - self = this, - len = self.length; - - if ( typeof selector !== "string" ) { - return this.pushStack( jQuery( selector ).filter(function() { - for ( i = 0; i < len; i++ ) { - if ( jQuery.contains( self[ i ], this ) ) { - return true; - } - } - }) ); - } - - for ( i = 0; i < len; i++ ) { - jQuery.find( selector, self[ i ], ret ); - } - - // Needed because $( selector, context ) becomes $( context ).find( selector ) - ret = this.pushStack( len > 1 ? jQuery.unique( ret ) : ret ); - ret.selector = this.selector ? this.selector + " " + selector : selector; - return ret; - }, - filter: function( selector ) { - return this.pushStack( winnow(this, selector || [], false) ); - }, - not: function( selector ) { - return this.pushStack( winnow(this, selector || [], true) ); - }, - is: function( selector ) { - return !!winnow( - this, - - // If this is a positional/relative selector, check membership in the returned set - // so $("p:first").is("p:last") won't return true for a doc with two "p". - typeof selector === "string" && rneedsContext.test( selector ) ? - jQuery( selector ) : - selector || [], - false - ).length; - } -}); - - -// Initialize a jQuery object - - -// A central reference to the root jQuery(document) -var rootjQuery, - - // Use the correct document accordingly with window argument (sandbox) - document = window.document, - - // A simple way to check for HTML strings - // Prioritize #id over to avoid XSS via location.hash (#9521) - // Strict HTML recognition (#11290: must start with <) - rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]*))$/, - - init = jQuery.fn.init = function( selector, context ) { - var match, elem; - - // HANDLE: $(""), $(null), $(undefined), $(false) - if ( !selector ) { - return this; - } - - // Handle HTML strings - if ( typeof selector === "string" ) { - if ( selector.charAt(0) === "<" && selector.charAt( selector.length - 1 ) === ">" && selector.length >= 3 ) { - // Assume that strings that start and end with <> are HTML and skip the regex check - match = [ null, selector, null ]; - - } else { - match = rquickExpr.exec( selector ); - } - - // Match html or make sure no context is specified for #id - if ( match && (match[1] || !context) ) { - - // HANDLE: $(html) -> $(array) - if ( match[1] ) { - context = context instanceof jQuery ? context[0] : context; - - // scripts is true for back-compat - // Intentionally let the error be thrown if parseHTML is not present - jQuery.merge( this, jQuery.parseHTML( - match[1], - context && context.nodeType ? context.ownerDocument || context : document, - true - ) ); - - // HANDLE: $(html, props) - if ( rsingleTag.test( match[1] ) && jQuery.isPlainObject( context ) ) { - for ( match in context ) { - // Properties of context are called as methods if possible - if ( jQuery.isFunction( this[ match ] ) ) { - this[ match ]( context[ match ] ); - - // ...and otherwise set as attributes - } else { - this.attr( match, context[ match ] ); - } - } - } - - return this; - - // HANDLE: $(#id) - } else { - elem = document.getElementById( match[2] ); - - // Check parentNode to catch when Blackberry 4.6 returns - // nodes that are no longer in the document #6963 - if ( elem && elem.parentNode ) { - // Handle the case where IE and Opera return items - // by name instead of ID - if ( elem.id !== match[2] ) { - return rootjQuery.find( selector ); - } - - // Otherwise, we inject the element directly into the jQuery object - this.length = 1; - this[0] = elem; - } - - this.context = document; - this.selector = selector; - return this; - } - - // HANDLE: $(expr, $(...)) - } else if ( !context || context.jquery ) { - return ( context || rootjQuery ).find( selector ); - - // HANDLE: $(expr, context) - // (which is just equivalent to: $(context).find(expr) - } else { - return this.constructor( context ).find( selector ); - } - - // HANDLE: $(DOMElement) - } else if ( selector.nodeType ) { - this.context = this[0] = selector; - this.length = 1; - return this; - - // HANDLE: $(function) - // Shortcut for document ready - } else if ( jQuery.isFunction( selector ) ) { - return typeof rootjQuery.ready !== "undefined" ? - rootjQuery.ready( selector ) : - // Execute immediately if ready is not present - selector( jQuery ); - } - - if ( selector.selector !== undefined ) { - this.selector = selector.selector; - this.context = selector.context; - } - - return jQuery.makeArray( selector, this ); - }; - -// Give the init function the jQuery prototype for later instantiation -init.prototype = jQuery.fn; - -// Initialize central reference -rootjQuery = jQuery( document ); - - -var rparentsprev = /^(?:parents|prev(?:Until|All))/, - // methods guaranteed to produce a unique set when starting from a unique set - guaranteedUnique = { - children: true, - contents: true, - next: true, - prev: true - }; - -jQuery.extend({ - dir: function( elem, dir, until ) { - var matched = [], - cur = elem[ dir ]; - - while ( cur && cur.nodeType !== 9 && (until === undefined || cur.nodeType !== 1 || !jQuery( cur ).is( until )) ) { - if ( cur.nodeType === 1 ) { - matched.push( cur ); - } - cur = cur[dir]; - } - return matched; - }, - - sibling: function( n, elem ) { - var r = []; - - for ( ; n; n = n.nextSibling ) { - if ( n.nodeType === 1 && n !== elem ) { - r.push( n ); - } - } - - return r; - } -}); - -jQuery.fn.extend({ - has: function( target ) { - var i, - targets = jQuery( target, this ), - len = targets.length; - - return this.filter(function() { - for ( i = 0; i < len; i++ ) { - if ( jQuery.contains( this, targets[i] ) ) { - return true; - } - } - }); - }, - - closest: function( selectors, context ) { - var cur, - i = 0, - l = this.length, - matched = [], - pos = rneedsContext.test( selectors ) || typeof selectors !== "string" ? - jQuery( selectors, context || this.context ) : - 0; - - for ( ; i < l; i++ ) { - for ( cur = this[i]; cur && cur !== context; cur = cur.parentNode ) { - // Always skip document fragments - if ( cur.nodeType < 11 && (pos ? - pos.index(cur) > -1 : - - // Don't pass non-elements to Sizzle - cur.nodeType === 1 && - jQuery.find.matchesSelector(cur, selectors)) ) { - - matched.push( cur ); - break; - } - } - } - - return this.pushStack( matched.length > 1 ? jQuery.unique( matched ) : matched ); - }, - - // Determine the position of an element within - // the matched set of elements - index: function( elem ) { - - // No argument, return index in parent - if ( !elem ) { - return ( this[0] && this[0].parentNode ) ? this.first().prevAll().length : -1; - } - - // index in selector - if ( typeof elem === "string" ) { - return jQuery.inArray( this[0], jQuery( elem ) ); - } - - // Locate the position of the desired element - return jQuery.inArray( - // If it receives a jQuery object, the first element is used - elem.jquery ? elem[0] : elem, this ); - }, - - add: function( selector, context ) { - return this.pushStack( - jQuery.unique( - jQuery.merge( this.get(), jQuery( selector, context ) ) - ) - ); - }, - - addBack: function( selector ) { - return this.add( selector == null ? - this.prevObject : this.prevObject.filter(selector) - ); - } -}); - -function sibling( cur, dir ) { - do { - cur = cur[ dir ]; - } while ( cur && cur.nodeType !== 1 ); - - return cur; -} - -jQuery.each({ - parent: function( elem ) { - var parent = elem.parentNode; - return parent && parent.nodeType !== 11 ? parent : null; - }, - parents: function( elem ) { - return jQuery.dir( elem, "parentNode" ); - }, - parentsUntil: function( elem, i, until ) { - return jQuery.dir( elem, "parentNode", until ); - }, - next: function( elem ) { - return sibling( elem, "nextSibling" ); - }, - prev: function( elem ) { - return sibling( elem, "previousSibling" ); - }, - nextAll: function( elem ) { - return jQuery.dir( elem, "nextSibling" ); - }, - prevAll: function( elem ) { - return jQuery.dir( elem, "previousSibling" ); - }, - nextUntil: function( elem, i, until ) { - return jQuery.dir( elem, "nextSibling", until ); - }, - prevUntil: function( elem, i, until ) { - return jQuery.dir( elem, "previousSibling", until ); - }, - siblings: function( elem ) { - return jQuery.sibling( ( elem.parentNode || {} ).firstChild, elem ); - }, - children: function( elem ) { - return jQuery.sibling( elem.firstChild ); - }, - contents: function( elem ) { - return jQuery.nodeName( elem, "iframe" ) ? - elem.contentDocument || elem.contentWindow.document : - jQuery.merge( [], elem.childNodes ); - } -}, function( name, fn ) { - jQuery.fn[ name ] = function( until, selector ) { - var ret = jQuery.map( this, fn, until ); - - if ( name.slice( -5 ) !== "Until" ) { - selector = until; - } - - if ( selector && typeof selector === "string" ) { - ret = jQuery.filter( selector, ret ); - } - - if ( this.length > 1 ) { - // Remove duplicates - if ( !guaranteedUnique[ name ] ) { - ret = jQuery.unique( ret ); - } - - // Reverse order for parents* and prev-derivatives - if ( rparentsprev.test( name ) ) { - ret = ret.reverse(); - } - } - - return this.pushStack( ret ); - }; -}); -var rnotwhite = (/\S+/g); - - - -// String to Object options format cache -var optionsCache = {}; - -// Convert String-formatted options into Object-formatted ones and store in cache -function createOptions( options ) { - var object = optionsCache[ options ] = {}; - jQuery.each( options.match( rnotwhite ) || [], function( _, flag ) { - object[ flag ] = true; - }); - return object; -} - -/* - * Create a callback list using the following parameters: - * - * options: an optional list of space-separated options that will change how - * the callback list behaves or a more traditional option object - * - * By default a callback list will act like an event callback list and can be - * "fired" multiple times. - * - * Possible options: - * - * once: will ensure the callback list can only be fired once (like a Deferred) - * - * memory: will keep track of previous values and will call any callback added - * after the list has been fired right away with the latest "memorized" - * values (like a Deferred) - * - * unique: will ensure a callback can only be added once (no duplicate in the list) - * - * stopOnFalse: interrupt callings when a callback returns false - * - */ -jQuery.Callbacks = function( options ) { - - // Convert options from String-formatted to Object-formatted if needed - // (we check in cache first) - options = typeof options === "string" ? - ( optionsCache[ options ] || createOptions( options ) ) : - jQuery.extend( {}, options ); - - var // Flag to know if list is currently firing - firing, - // Last fire value (for non-forgettable lists) - memory, - // Flag to know if list was already fired - fired, - // End of the loop when firing - firingLength, - // Index of currently firing callback (modified by remove if needed) - firingIndex, - // First callback to fire (used internally by add and fireWith) - firingStart, - // Actual callback list - list = [], - // Stack of fire calls for repeatable lists - stack = !options.once && [], - // Fire callbacks - fire = function( data ) { - memory = options.memory && data; - fired = true; - firingIndex = firingStart || 0; - firingStart = 0; - firingLength = list.length; - firing = true; - for ( ; list && firingIndex < firingLength; firingIndex++ ) { - if ( list[ firingIndex ].apply( data[ 0 ], data[ 1 ] ) === false && options.stopOnFalse ) { - memory = false; // To prevent further calls using add - break; - } - } - firing = false; - if ( list ) { - if ( stack ) { - if ( stack.length ) { - fire( stack.shift() ); - } - } else if ( memory ) { - list = []; - } else { - self.disable(); - } - } - }, - // Actual Callbacks object - self = { - // Add a callback or a collection of callbacks to the list - add: function() { - if ( list ) { - // First, we save the current length - var start = list.length; - (function add( args ) { - jQuery.each( args, function( _, arg ) { - var type = jQuery.type( arg ); - if ( type === "function" ) { - if ( !options.unique || !self.has( arg ) ) { - list.push( arg ); - } - } else if ( arg && arg.length && type !== "string" ) { - // Inspect recursively - add( arg ); - } - }); - })( arguments ); - // Do we need to add the callbacks to the - // current firing batch? - if ( firing ) { - firingLength = list.length; - // With memory, if we're not firing then - // we should call right away - } else if ( memory ) { - firingStart = start; - fire( memory ); - } - } - return this; - }, - // Remove a callback from the list - remove: function() { - if ( list ) { - jQuery.each( arguments, function( _, arg ) { - var index; - while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) { - list.splice( index, 1 ); - // Handle firing indexes - if ( firing ) { - if ( index <= firingLength ) { - firingLength--; - } - if ( index <= firingIndex ) { - firingIndex--; - } - } - } - }); - } - return this; - }, - // Check if a given callback is in the list. - // If no argument is given, return whether or not list has callbacks attached. - has: function( fn ) { - return fn ? jQuery.inArray( fn, list ) > -1 : !!( list && list.length ); - }, - // Remove all callbacks from the list - empty: function() { - list = []; - firingLength = 0; - return this; - }, - // Have the list do nothing anymore - disable: function() { - list = stack = memory = undefined; - return this; - }, - // Is it disabled? - disabled: function() { - return !list; - }, - // Lock the list in its current state - lock: function() { - stack = undefined; - if ( !memory ) { - self.disable(); - } - return this; - }, - // Is it locked? - locked: function() { - return !stack; - }, - // Call all callbacks with the given context and arguments - fireWith: function( context, args ) { - if ( list && ( !fired || stack ) ) { - args = args || []; - args = [ context, args.slice ? args.slice() : args ]; - if ( firing ) { - stack.push( args ); - } else { - fire( args ); - } - } - return this; - }, - // Call all the callbacks with the given arguments - fire: function() { - self.fireWith( this, arguments ); - return this; - }, - // To know if the callbacks have already been called at least once - fired: function() { - return !!fired; - } - }; - - return self; -}; - - -jQuery.extend({ - - Deferred: function( func ) { - var tuples = [ - // action, add listener, listener list, final state - [ "resolve", "done", jQuery.Callbacks("once memory"), "resolved" ], - [ "reject", "fail", jQuery.Callbacks("once memory"), "rejected" ], - [ "notify", "progress", jQuery.Callbacks("memory") ] - ], - state = "pending", - promise = { - state: function() { - return state; - }, - always: function() { - deferred.done( arguments ).fail( arguments ); - return this; - }, - then: function( /* fnDone, fnFail, fnProgress */ ) { - var fns = arguments; - return jQuery.Deferred(function( newDefer ) { - jQuery.each( tuples, function( i, tuple ) { - var fn = jQuery.isFunction( fns[ i ] ) && fns[ i ]; - // deferred[ done | fail | progress ] for forwarding actions to newDefer - deferred[ tuple[1] ](function() { - var returned = fn && fn.apply( this, arguments ); - if ( returned && jQuery.isFunction( returned.promise ) ) { - returned.promise() - .done( newDefer.resolve ) - .fail( newDefer.reject ) - .progress( newDefer.notify ); - } else { - newDefer[ tuple[ 0 ] + "With" ]( this === promise ? newDefer.promise() : this, fn ? [ returned ] : arguments ); - } - }); - }); - fns = null; - }).promise(); - }, - // Get a promise for this deferred - // If obj is provided, the promise aspect is added to the object - promise: function( obj ) { - return obj != null ? jQuery.extend( obj, promise ) : promise; - } - }, - deferred = {}; - - // Keep pipe for back-compat - promise.pipe = promise.then; - - // Add list-specific methods - jQuery.each( tuples, function( i, tuple ) { - var list = tuple[ 2 ], - stateString = tuple[ 3 ]; - - // promise[ done | fail | progress ] = list.add - promise[ tuple[1] ] = list.add; - - // Handle state - if ( stateString ) { - list.add(function() { - // state = [ resolved | rejected ] - state = stateString; - - // [ reject_list | resolve_list ].disable; progress_list.lock - }, tuples[ i ^ 1 ][ 2 ].disable, tuples[ 2 ][ 2 ].lock ); - } - - // deferred[ resolve | reject | notify ] - deferred[ tuple[0] ] = function() { - deferred[ tuple[0] + "With" ]( this === deferred ? promise : this, arguments ); - return this; - }; - deferred[ tuple[0] + "With" ] = list.fireWith; - }); - - // Make the deferred a promise - promise.promise( deferred ); - - // Call given func if any - if ( func ) { - func.call( deferred, deferred ); - } - - // All done! - return deferred; - }, - - // Deferred helper - when: function( subordinate /* , ..., subordinateN */ ) { - var i = 0, - resolveValues = slice.call( arguments ), - length = resolveValues.length, - - // the count of uncompleted subordinates - remaining = length !== 1 || ( subordinate && jQuery.isFunction( subordinate.promise ) ) ? length : 0, - - // the master Deferred. If resolveValues consist of only a single Deferred, just use that. - deferred = remaining === 1 ? subordinate : jQuery.Deferred(), - - // Update function for both resolve and progress values - updateFunc = function( i, contexts, values ) { - return function( value ) { - contexts[ i ] = this; - values[ i ] = arguments.length > 1 ? slice.call( arguments ) : value; - if ( values === progressValues ) { - deferred.notifyWith( contexts, values ); - - } else if ( !(--remaining) ) { - deferred.resolveWith( contexts, values ); - } - }; - }, - - progressValues, progressContexts, resolveContexts; - - // add listeners to Deferred subordinates; treat others as resolved - if ( length > 1 ) { - progressValues = new Array( length ); - progressContexts = new Array( length ); - resolveContexts = new Array( length ); - for ( ; i < length; i++ ) { - if ( resolveValues[ i ] && jQuery.isFunction( resolveValues[ i ].promise ) ) { - resolveValues[ i ].promise() - .done( updateFunc( i, resolveContexts, resolveValues ) ) - .fail( deferred.reject ) - .progress( updateFunc( i, progressContexts, progressValues ) ); - } else { - --remaining; - } - } - } - - // if we're not waiting on anything, resolve the master - if ( !remaining ) { - deferred.resolveWith( resolveContexts, resolveValues ); - } - - return deferred.promise(); - } -}); - - -// The deferred used on DOM ready -var readyList; - -jQuery.fn.ready = function( fn ) { - // Add the callback - jQuery.ready.promise().done( fn ); - - return this; -}; - -jQuery.extend({ - // Is the DOM ready to be used? Set to true once it occurs. - isReady: false, - - // A counter to track how many items to wait for before - // the ready event fires. See #6781 - readyWait: 1, - - // Hold (or release) the ready event - holdReady: function( hold ) { - if ( hold ) { - jQuery.readyWait++; - } else { - jQuery.ready( true ); - } - }, - - // Handle when the DOM is ready - ready: function( wait ) { - - // Abort if there are pending holds or we're already ready - if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) { - return; - } - - // Make sure body exists, at least, in case IE gets a little overzealous (ticket #5443). - if ( !document.body ) { - return setTimeout( jQuery.ready ); - } - - // Remember that the DOM is ready - jQuery.isReady = true; - - // If a normal DOM Ready event fired, decrement, and wait if need be - if ( wait !== true && --jQuery.readyWait > 0 ) { - return; - } - - // If there are functions bound, to execute - readyList.resolveWith( document, [ jQuery ] ); - - // Trigger any bound ready events - if ( jQuery.fn.triggerHandler ) { - jQuery( document ).triggerHandler( "ready" ); - jQuery( document ).off( "ready" ); - } - } -}); - -/** - * Clean-up method for dom ready events - */ -function detach() { - if ( document.addEventListener ) { - document.removeEventListener( "DOMContentLoaded", completed, false ); - window.removeEventListener( "load", completed, false ); - - } else { - document.detachEvent( "onreadystatechange", completed ); - window.detachEvent( "onload", completed ); - } -} - -/** - * The ready event handler and self cleanup method - */ -function completed() { - // readyState === "complete" is good enough for us to call the dom ready in oldIE - if ( document.addEventListener || event.type === "load" || document.readyState === "complete" ) { - detach(); - jQuery.ready(); - } -} - -jQuery.ready.promise = function( obj ) { - if ( !readyList ) { - - readyList = jQuery.Deferred(); - - // Catch cases where $(document).ready() is called after the browser event has already occurred. - // we once tried to use readyState "interactive" here, but it caused issues like the one - // discovered by ChrisS here: http://bugs.jquery.com/ticket/12282#comment:15 - if ( document.readyState === "complete" ) { - // Handle it asynchronously to allow scripts the opportunity to delay ready - setTimeout( jQuery.ready ); - - // Standards-based browsers support DOMContentLoaded - } else if ( document.addEventListener ) { - // Use the handy event callback - document.addEventListener( "DOMContentLoaded", completed, false ); - - // A fallback to window.onload, that will always work - window.addEventListener( "load", completed, false ); - - // If IE event model is used - } else { - // Ensure firing before onload, maybe late but safe also for iframes - document.attachEvent( "onreadystatechange", completed ); - - // A fallback to window.onload, that will always work - window.attachEvent( "onload", completed ); - - // If IE and not a frame - // continually check to see if the document is ready - var top = false; - - try { - top = window.frameElement == null && document.documentElement; - } catch(e) {} - - if ( top && top.doScroll ) { - (function doScrollCheck() { - if ( !jQuery.isReady ) { - - try { - // Use the trick by Diego Perini - // http://javascript.nwbox.com/IEContentLoaded/ - top.doScroll("left"); - } catch(e) { - return setTimeout( doScrollCheck, 50 ); - } - - // detach all dom ready events - detach(); - - // and execute any waiting functions - jQuery.ready(); - } - })(); - } - } - } - return readyList.promise( obj ); -}; - - -var strundefined = typeof undefined; - - - -// Support: IE<9 -// Iteration over object's inherited properties before its own -var i; -for ( i in jQuery( support ) ) { - break; -} -support.ownLast = i !== "0"; - -// Note: most support tests are defined in their respective modules. -// false until the test is run -support.inlineBlockNeedsLayout = false; - -// Execute ASAP in case we need to set body.style.zoom -jQuery(function() { - // Minified: var a,b,c,d - var val, div, body, container; - - body = document.getElementsByTagName( "body" )[ 0 ]; - if ( !body || !body.style ) { - // Return for frameset docs that don't have a body - return; - } - - // Setup - div = document.createElement( "div" ); - container = document.createElement( "div" ); - container.style.cssText = "position:absolute;border:0;width:0;height:0;top:0;left:-9999px"; - body.appendChild( container ).appendChild( div ); - - if ( typeof div.style.zoom !== strundefined ) { - // Support: IE<8 - // Check if natively block-level elements act like inline-block - // elements when setting their display to 'inline' and giving - // them layout - div.style.cssText = "display:inline;margin:0;border:0;padding:1px;width:1px;zoom:1"; - - support.inlineBlockNeedsLayout = val = div.offsetWidth === 3; - if ( val ) { - // Prevent IE 6 from affecting layout for positioned elements #11048 - // Prevent IE from shrinking the body in IE 7 mode #12869 - // Support: IE<8 - body.style.zoom = 1; - } - } - - body.removeChild( container ); -}); - - - - -(function() { - var div = document.createElement( "div" ); - - // Execute the test only if not already executed in another module. - if (support.deleteExpando == null) { - // Support: IE<9 - support.deleteExpando = true; - try { - delete div.test; - } catch( e ) { - support.deleteExpando = false; - } - } - - // Null elements to avoid leaks in IE. - div = null; -})(); - - -/** - * Determines whether an object can have data - */ -jQuery.acceptData = function( elem ) { - var noData = jQuery.noData[ (elem.nodeName + " ").toLowerCase() ], - nodeType = +elem.nodeType || 1; - - // Do not set data on non-element DOM nodes because it will not be cleared (#8335). - return nodeType !== 1 && nodeType !== 9 ? - false : - - // Nodes accept data unless otherwise specified; rejection can be conditional - !noData || noData !== true && elem.getAttribute("classid") === noData; -}; - - -var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/, - rmultiDash = /([A-Z])/g; - -function dataAttr( elem, key, data ) { - // If nothing was found internally, try to fetch any - // data from the HTML5 data-* attribute - if ( data === undefined && elem.nodeType === 1 ) { - - var name = "data-" + key.replace( rmultiDash, "-$1" ).toLowerCase(); - - data = elem.getAttribute( name ); - - if ( typeof data === "string" ) { - try { - data = data === "true" ? true : - data === "false" ? false : - data === "null" ? null : - // Only convert to a number if it doesn't change the string - +data + "" === data ? +data : - rbrace.test( data ) ? jQuery.parseJSON( data ) : - data; - } catch( e ) {} - - // Make sure we set the data so it isn't changed later - jQuery.data( elem, key, data ); - - } else { - data = undefined; - } - } - - return data; -} - -// checks a cache object for emptiness -function isEmptyDataObject( obj ) { - var name; - for ( name in obj ) { - - // if the public data object is empty, the private is still empty - if ( name === "data" && jQuery.isEmptyObject( obj[name] ) ) { - continue; - } - if ( name !== "toJSON" ) { - return false; - } - } - - return true; -} - -function internalData( elem, name, data, pvt /* Internal Use Only */ ) { - if ( !jQuery.acceptData( elem ) ) { - return; - } - - var ret, thisCache, - internalKey = jQuery.expando, - - // We have to handle DOM nodes and JS objects differently because IE6-7 - // can't GC object references properly across the DOM-JS boundary - isNode = elem.nodeType, - - // Only DOM nodes need the global jQuery cache; JS object data is - // attached directly to the object so GC can occur automatically - cache = isNode ? jQuery.cache : elem, - - // Only defining an ID for JS objects if its cache already exists allows - // the code to shortcut on the same path as a DOM node with no cache - id = isNode ? elem[ internalKey ] : elem[ internalKey ] && internalKey; - - // Avoid doing any more work than we need to when trying to get data on an - // object that has no data at all - if ( (!id || !cache[id] || (!pvt && !cache[id].data)) && data === undefined && typeof name === "string" ) { - return; - } - - if ( !id ) { - // Only DOM nodes need a new unique ID for each element since their data - // ends up in the global cache - if ( isNode ) { - id = elem[ internalKey ] = deletedIds.pop() || jQuery.guid++; - } else { - id = internalKey; - } - } - - if ( !cache[ id ] ) { - // Avoid exposing jQuery metadata on plain JS objects when the object - // is serialized using JSON.stringify - cache[ id ] = isNode ? {} : { toJSON: jQuery.noop }; - } - - // An object can be passed to jQuery.data instead of a key/value pair; this gets - // shallow copied over onto the existing cache - if ( typeof name === "object" || typeof name === "function" ) { - if ( pvt ) { - cache[ id ] = jQuery.extend( cache[ id ], name ); - } else { - cache[ id ].data = jQuery.extend( cache[ id ].data, name ); - } - } - - thisCache = cache[ id ]; - - // jQuery data() is stored in a separate object inside the object's internal data - // cache in order to avoid key collisions between internal data and user-defined - // data. - if ( !pvt ) { - if ( !thisCache.data ) { - thisCache.data = {}; - } - - thisCache = thisCache.data; - } - - if ( data !== undefined ) { - thisCache[ jQuery.camelCase( name ) ] = data; - } - - // Check for both converted-to-camel and non-converted data property names - // If a data property was specified - if ( typeof name === "string" ) { - - // First Try to find as-is property data - ret = thisCache[ name ]; - - // Test for null|undefined property data - if ( ret == null ) { - - // Try to find the camelCased property - ret = thisCache[ jQuery.camelCase( name ) ]; - } - } else { - ret = thisCache; - } - - return ret; -} - -function internalRemoveData( elem, name, pvt ) { - if ( !jQuery.acceptData( elem ) ) { - return; - } - - var thisCache, i, - isNode = elem.nodeType, - - // See jQuery.data for more information - cache = isNode ? jQuery.cache : elem, - id = isNode ? elem[ jQuery.expando ] : jQuery.expando; - - // If there is already no cache entry for this object, there is no - // purpose in continuing - if ( !cache[ id ] ) { - return; - } - - if ( name ) { - - thisCache = pvt ? cache[ id ] : cache[ id ].data; - - if ( thisCache ) { - - // Support array or space separated string names for data keys - if ( !jQuery.isArray( name ) ) { - - // try the string as a key before any manipulation - if ( name in thisCache ) { - name = [ name ]; - } else { - - // split the camel cased version by spaces unless a key with the spaces exists - name = jQuery.camelCase( name ); - if ( name in thisCache ) { - name = [ name ]; - } else { - name = name.split(" "); - } - } - } else { - // If "name" is an array of keys... - // When data is initially created, via ("key", "val") signature, - // keys will be converted to camelCase. - // Since there is no way to tell _how_ a key was added, remove - // both plain key and camelCase key. #12786 - // This will only penalize the array argument path. - name = name.concat( jQuery.map( name, jQuery.camelCase ) ); - } - - i = name.length; - while ( i-- ) { - delete thisCache[ name[i] ]; - } - - // If there is no data left in the cache, we want to continue - // and let the cache object itself get destroyed - if ( pvt ? !isEmptyDataObject(thisCache) : !jQuery.isEmptyObject(thisCache) ) { - return; - } - } - } - - // See jQuery.data for more information - if ( !pvt ) { - delete cache[ id ].data; - - // Don't destroy the parent cache unless the internal data object - // had been the only thing left in it - if ( !isEmptyDataObject( cache[ id ] ) ) { - return; - } - } - - // Destroy the cache - if ( isNode ) { - jQuery.cleanData( [ elem ], true ); - - // Use delete when supported for expandos or `cache` is not a window per isWindow (#10080) - /* jshint eqeqeq: false */ - } else if ( support.deleteExpando || cache != cache.window ) { - /* jshint eqeqeq: true */ - delete cache[ id ]; - - // When all else fails, null - } else { - cache[ id ] = null; - } -} - -jQuery.extend({ - cache: {}, - - // The following elements (space-suffixed to avoid Object.prototype collisions) - // throw uncatchable exceptions if you attempt to set expando properties - noData: { - "applet ": true, - "embed ": true, - // ...but Flash objects (which have this classid) *can* handle expandos - "object ": "clsid:D27CDB6E-AE6D-11cf-96B8-444553540000" - }, - - hasData: function( elem ) { - elem = elem.nodeType ? jQuery.cache[ elem[jQuery.expando] ] : elem[ jQuery.expando ]; - return !!elem && !isEmptyDataObject( elem ); - }, - - data: function( elem, name, data ) { - return internalData( elem, name, data ); - }, - - removeData: function( elem, name ) { - return internalRemoveData( elem, name ); - }, - - // For internal use only. - _data: function( elem, name, data ) { - return internalData( elem, name, data, true ); - }, - - _removeData: function( elem, name ) { - return internalRemoveData( elem, name, true ); - } -}); - -jQuery.fn.extend({ - data: function( key, value ) { - var i, name, data, - elem = this[0], - attrs = elem && elem.attributes; - - // Special expections of .data basically thwart jQuery.access, - // so implement the relevant behavior ourselves - - // Gets all values - if ( key === undefined ) { - if ( this.length ) { - data = jQuery.data( elem ); - - if ( elem.nodeType === 1 && !jQuery._data( elem, "parsedAttrs" ) ) { - i = attrs.length; - while ( i-- ) { - - // Support: IE11+ - // The attrs elements can be null (#14894) - if ( attrs[ i ] ) { - name = attrs[ i ].name; - if ( name.indexOf( "data-" ) === 0 ) { - name = jQuery.camelCase( name.slice(5) ); - dataAttr( elem, name, data[ name ] ); - } - } - } - jQuery._data( elem, "parsedAttrs", true ); - } - } - - return data; - } - - // Sets multiple values - if ( typeof key === "object" ) { - return this.each(function() { - jQuery.data( this, key ); - }); - } - - return arguments.length > 1 ? - - // Sets one value - this.each(function() { - jQuery.data( this, key, value ); - }) : - - // Gets one value - // Try to fetch any internally stored data first - elem ? dataAttr( elem, key, jQuery.data( elem, key ) ) : undefined; - }, - - removeData: function( key ) { - return this.each(function() { - jQuery.removeData( this, key ); - }); - } -}); - - -jQuery.extend({ - queue: function( elem, type, data ) { - var queue; - - if ( elem ) { - type = ( type || "fx" ) + "queue"; - queue = jQuery._data( elem, type ); - - // Speed up dequeue by getting out quickly if this is just a lookup - if ( data ) { - if ( !queue || jQuery.isArray(data) ) { - queue = jQuery._data( elem, type, jQuery.makeArray(data) ); - } else { - queue.push( data ); - } - } - return queue || []; - } - }, - - dequeue: function( elem, type ) { - type = type || "fx"; - - var queue = jQuery.queue( elem, type ), - startLength = queue.length, - fn = queue.shift(), - hooks = jQuery._queueHooks( elem, type ), - next = function() { - jQuery.dequeue( elem, type ); - }; - - // If the fx queue is dequeued, always remove the progress sentinel - if ( fn === "inprogress" ) { - fn = queue.shift(); - startLength--; - } - - if ( fn ) { - - // Add a progress sentinel to prevent the fx queue from being - // automatically dequeued - if ( type === "fx" ) { - queue.unshift( "inprogress" ); - } - - // clear up the last queue stop function - delete hooks.stop; - fn.call( elem, next, hooks ); - } - - if ( !startLength && hooks ) { - hooks.empty.fire(); - } - }, - - // not intended for public consumption - generates a queueHooks object, or returns the current one - _queueHooks: function( elem, type ) { - var key = type + "queueHooks"; - return jQuery._data( elem, key ) || jQuery._data( elem, key, { - empty: jQuery.Callbacks("once memory").add(function() { - jQuery._removeData( elem, type + "queue" ); - jQuery._removeData( elem, key ); - }) - }); - } -}); - -jQuery.fn.extend({ - queue: function( type, data ) { - var setter = 2; - - if ( typeof type !== "string" ) { - data = type; - type = "fx"; - setter--; - } - - if ( arguments.length < setter ) { - return jQuery.queue( this[0], type ); - } - - return data === undefined ? - this : - this.each(function() { - var queue = jQuery.queue( this, type, data ); - - // ensure a hooks for this queue - jQuery._queueHooks( this, type ); - - if ( type === "fx" && queue[0] !== "inprogress" ) { - jQuery.dequeue( this, type ); - } - }); - }, - dequeue: function( type ) { - return this.each(function() { - jQuery.dequeue( this, type ); - }); - }, - clearQueue: function( type ) { - return this.queue( type || "fx", [] ); - }, - // Get a promise resolved when queues of a certain type - // are emptied (fx is the type by default) - promise: function( type, obj ) { - var tmp, - count = 1, - defer = jQuery.Deferred(), - elements = this, - i = this.length, - resolve = function() { - if ( !( --count ) ) { - defer.resolveWith( elements, [ elements ] ); - } - }; - - if ( typeof type !== "string" ) { - obj = type; - type = undefined; - } - type = type || "fx"; - - while ( i-- ) { - tmp = jQuery._data( elements[ i ], type + "queueHooks" ); - if ( tmp && tmp.empty ) { - count++; - tmp.empty.add( resolve ); - } - } - resolve(); - return defer.promise( obj ); - } -}); -var pnum = (/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/).source; - -var cssExpand = [ "Top", "Right", "Bottom", "Left" ]; - -var isHidden = function( elem, el ) { - // isHidden might be called from jQuery#filter function; - // in that case, element will be second argument - elem = el || elem; - return jQuery.css( elem, "display" ) === "none" || !jQuery.contains( elem.ownerDocument, elem ); - }; - - - -// Multifunctional method to get and set values of a collection -// The value/s can optionally be executed if it's a function -var access = jQuery.access = function( elems, fn, key, value, chainable, emptyGet, raw ) { - var i = 0, - length = elems.length, - bulk = key == null; - - // Sets many values - if ( jQuery.type( key ) === "object" ) { - chainable = true; - for ( i in key ) { - jQuery.access( elems, fn, i, key[i], true, emptyGet, raw ); - } - - // Sets one value - } else if ( value !== undefined ) { - chainable = true; - - if ( !jQuery.isFunction( value ) ) { - raw = true; - } - - if ( bulk ) { - // Bulk operations run against the entire set - if ( raw ) { - fn.call( elems, value ); - fn = null; - - // ...except when executing function values - } else { - bulk = fn; - fn = function( elem, key, value ) { - return bulk.call( jQuery( elem ), value ); - }; - } - } - - if ( fn ) { - for ( ; i < length; i++ ) { - fn( elems[i], key, raw ? value : value.call( elems[i], i, fn( elems[i], key ) ) ); - } - } - } - - return chainable ? - elems : - - // Gets - bulk ? - fn.call( elems ) : - length ? fn( elems[0], key ) : emptyGet; -}; -var rcheckableType = (/^(?:checkbox|radio)$/i); - - - -(function() { - // Minified: var a,b,c - var input = document.createElement( "input" ), - div = document.createElement( "div" ), - fragment = document.createDocumentFragment(); - - // Setup - div.innerHTML = "
a"; - - // IE strips leading whitespace when .innerHTML is used - support.leadingWhitespace = div.firstChild.nodeType === 3; - - // Make sure that tbody elements aren't automatically inserted - // IE will insert them into empty tables - support.tbody = !div.getElementsByTagName( "tbody" ).length; - - // Make sure that link elements get serialized correctly by innerHTML - // This requires a wrapper element in IE - support.htmlSerialize = !!div.getElementsByTagName( "link" ).length; - - // Makes sure cloning an html5 element does not cause problems - // Where outerHTML is undefined, this still works - support.html5Clone = - document.createElement( "nav" ).cloneNode( true ).outerHTML !== "<:nav>"; - - // Check if a disconnected checkbox will retain its checked - // value of true after appended to the DOM (IE6/7) - input.type = "checkbox"; - input.checked = true; - fragment.appendChild( input ); - support.appendChecked = input.checked; - - // Make sure textarea (and checkbox) defaultValue is properly cloned - // Support: IE6-IE11+ - div.innerHTML = ""; - support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue; - - // #11217 - WebKit loses check when the name is after the checked attribute - fragment.appendChild( div ); - div.innerHTML = ""; - - // Support: Safari 5.1, iOS 5.1, Android 4.x, Android 2.3 - // old WebKit doesn't clone checked state correctly in fragments - support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked; - - // Support: IE<9 - // Opera does not clone events (and typeof div.attachEvent === undefined). - // IE9-10 clones events bound via attachEvent, but they don't trigger with .click() - support.noCloneEvent = true; - if ( div.attachEvent ) { - div.attachEvent( "onclick", function() { - support.noCloneEvent = false; - }); - - div.cloneNode( true ).click(); - } - - // Execute the test only if not already executed in another module. - if (support.deleteExpando == null) { - // Support: IE<9 - support.deleteExpando = true; - try { - delete div.test; - } catch( e ) { - support.deleteExpando = false; - } - } -})(); - - -(function() { - var i, eventName, - div = document.createElement( "div" ); - - // Support: IE<9 (lack submit/change bubble), Firefox 23+ (lack focusin event) - for ( i in { submit: true, change: true, focusin: true }) { - eventName = "on" + i; - - if ( !(support[ i + "Bubbles" ] = eventName in window) ) { - // Beware of CSP restrictions (https://developer.mozilla.org/en/Security/CSP) - div.setAttribute( eventName, "t" ); - support[ i + "Bubbles" ] = div.attributes[ eventName ].expando === false; - } - } - - // Null elements to avoid leaks in IE. - div = null; -})(); - - -var rformElems = /^(?:input|select|textarea)$/i, - rkeyEvent = /^key/, - rmouseEvent = /^(?:mouse|pointer|contextmenu)|click/, - rfocusMorph = /^(?:focusinfocus|focusoutblur)$/, - rtypenamespace = /^([^.]*)(?:\.(.+)|)$/; - -function returnTrue() { - return true; -} - -function returnFalse() { - return false; -} - -function safeActiveElement() { - try { - return document.activeElement; - } catch ( err ) { } -} - -/* - * Helper functions for managing events -- not part of the public interface. - * Props to Dean Edwards' addEvent library for many of the ideas. - */ -jQuery.event = { - - global: {}, - - add: function( elem, types, handler, data, selector ) { - var tmp, events, t, handleObjIn, - special, eventHandle, handleObj, - handlers, type, namespaces, origType, - elemData = jQuery._data( elem ); - - // Don't attach events to noData or text/comment nodes (but allow plain objects) - if ( !elemData ) { - return; - } - - // Caller can pass in an object of custom data in lieu of the handler - if ( handler.handler ) { - handleObjIn = handler; - handler = handleObjIn.handler; - selector = handleObjIn.selector; - } - - // Make sure that the handler has a unique ID, used to find/remove it later - if ( !handler.guid ) { - handler.guid = jQuery.guid++; - } - - // Init the element's event structure and main handler, if this is the first - if ( !(events = elemData.events) ) { - events = elemData.events = {}; - } - if ( !(eventHandle = elemData.handle) ) { - eventHandle = elemData.handle = function( e ) { - // Discard the second event of a jQuery.event.trigger() and - // when an event is called after a page has unloaded - return typeof jQuery !== strundefined && (!e || jQuery.event.triggered !== e.type) ? - jQuery.event.dispatch.apply( eventHandle.elem, arguments ) : - undefined; - }; - // Add elem as a property of the handle fn to prevent a memory leak with IE non-native events - eventHandle.elem = elem; - } - - // Handle multiple events separated by a space - types = ( types || "" ).match( rnotwhite ) || [ "" ]; - t = types.length; - while ( t-- ) { - tmp = rtypenamespace.exec( types[t] ) || []; - type = origType = tmp[1]; - namespaces = ( tmp[2] || "" ).split( "." ).sort(); - - // There *must* be a type, no attaching namespace-only handlers - if ( !type ) { - continue; - } - - // If event changes its type, use the special event handlers for the changed type - special = jQuery.event.special[ type ] || {}; - - // If selector defined, determine special event api type, otherwise given type - type = ( selector ? special.delegateType : special.bindType ) || type; - - // Update special based on newly reset type - special = jQuery.event.special[ type ] || {}; - - // handleObj is passed to all event handlers - handleObj = jQuery.extend({ - type: type, - origType: origType, - data: data, - handler: handler, - guid: handler.guid, - selector: selector, - needsContext: selector && jQuery.expr.match.needsContext.test( selector ), - namespace: namespaces.join(".") - }, handleObjIn ); - - // Init the event handler queue if we're the first - if ( !(handlers = events[ type ]) ) { - handlers = events[ type ] = []; - handlers.delegateCount = 0; - - // Only use addEventListener/attachEvent if the special events handler returns false - if ( !special.setup || special.setup.call( elem, data, namespaces, eventHandle ) === false ) { - // Bind the global event handler to the element - if ( elem.addEventListener ) { - elem.addEventListener( type, eventHandle, false ); - - } else if ( elem.attachEvent ) { - elem.attachEvent( "on" + type, eventHandle ); - } - } - } - - if ( special.add ) { - special.add.call( elem, handleObj ); - - if ( !handleObj.handler.guid ) { - handleObj.handler.guid = handler.guid; - } - } - - // Add to the element's handler list, delegates in front - if ( selector ) { - handlers.splice( handlers.delegateCount++, 0, handleObj ); - } else { - handlers.push( handleObj ); - } - - // Keep track of which events have ever been used, for event optimization - jQuery.event.global[ type ] = true; - } - - // Nullify elem to prevent memory leaks in IE - elem = null; - }, - - // Detach an event or set of events from an element - remove: function( elem, types, handler, selector, mappedTypes ) { - var j, handleObj, tmp, - origCount, t, events, - special, handlers, type, - namespaces, origType, - elemData = jQuery.hasData( elem ) && jQuery._data( elem ); - - if ( !elemData || !(events = elemData.events) ) { - return; - } - - // Once for each type.namespace in types; type may be omitted - types = ( types || "" ).match( rnotwhite ) || [ "" ]; - t = types.length; - while ( t-- ) { - tmp = rtypenamespace.exec( types[t] ) || []; - type = origType = tmp[1]; - namespaces = ( tmp[2] || "" ).split( "." ).sort(); - - // Unbind all events (on this namespace, if provided) for the element - if ( !type ) { - for ( type in events ) { - jQuery.event.remove( elem, type + types[ t ], handler, selector, true ); - } - continue; - } - - special = jQuery.event.special[ type ] || {}; - type = ( selector ? special.delegateType : special.bindType ) || type; - handlers = events[ type ] || []; - tmp = tmp[2] && new RegExp( "(^|\\.)" + namespaces.join("\\.(?:.*\\.|)") + "(\\.|$)" ); - - // Remove matching events - origCount = j = handlers.length; - while ( j-- ) { - handleObj = handlers[ j ]; - - if ( ( mappedTypes || origType === handleObj.origType ) && - ( !handler || handler.guid === handleObj.guid ) && - ( !tmp || tmp.test( handleObj.namespace ) ) && - ( !selector || selector === handleObj.selector || selector === "**" && handleObj.selector ) ) { - handlers.splice( j, 1 ); - - if ( handleObj.selector ) { - handlers.delegateCount--; - } - if ( special.remove ) { - special.remove.call( elem, handleObj ); - } - } - } - - // Remove generic event handler if we removed something and no more handlers exist - // (avoids potential for endless recursion during removal of special event handlers) - if ( origCount && !handlers.length ) { - if ( !special.teardown || special.teardown.call( elem, namespaces, elemData.handle ) === false ) { - jQuery.removeEvent( elem, type, elemData.handle ); - } - - delete events[ type ]; - } - } - - // Remove the expando if it's no longer used - if ( jQuery.isEmptyObject( events ) ) { - delete elemData.handle; - - // removeData also checks for emptiness and clears the expando if empty - // so use it instead of delete - jQuery._removeData( elem, "events" ); - } - }, - - trigger: function( event, data, elem, onlyHandlers ) { - var handle, ontype, cur, - bubbleType, special, tmp, i, - eventPath = [ elem || document ], - type = hasOwn.call( event, "type" ) ? event.type : event, - namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split(".") : []; - - cur = tmp = elem = elem || document; - - // Don't do events on text and comment nodes - if ( elem.nodeType === 3 || elem.nodeType === 8 ) { - return; - } - - // focus/blur morphs to focusin/out; ensure we're not firing them right now - if ( rfocusMorph.test( type + jQuery.event.triggered ) ) { - return; - } - - if ( type.indexOf(".") >= 0 ) { - // Namespaced trigger; create a regexp to match event type in handle() - namespaces = type.split("."); - type = namespaces.shift(); - namespaces.sort(); - } - ontype = type.indexOf(":") < 0 && "on" + type; - - // Caller can pass in a jQuery.Event object, Object, or just an event type string - event = event[ jQuery.expando ] ? - event : - new jQuery.Event( type, typeof event === "object" && event ); - - // Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true) - event.isTrigger = onlyHandlers ? 2 : 3; - event.namespace = namespaces.join("."); - event.namespace_re = event.namespace ? - new RegExp( "(^|\\.)" + namespaces.join("\\.(?:.*\\.|)") + "(\\.|$)" ) : - null; - - // Clean up the event in case it is being reused - event.result = undefined; - if ( !event.target ) { - event.target = elem; - } - - // Clone any incoming data and prepend the event, creating the handler arg list - data = data == null ? - [ event ] : - jQuery.makeArray( data, [ event ] ); - - // Allow special events to draw outside the lines - special = jQuery.event.special[ type ] || {}; - if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) { - return; - } - - // Determine event propagation path in advance, per W3C events spec (#9951) - // Bubble up to document, then to window; watch for a global ownerDocument var (#9724) - if ( !onlyHandlers && !special.noBubble && !jQuery.isWindow( elem ) ) { - - bubbleType = special.delegateType || type; - if ( !rfocusMorph.test( bubbleType + type ) ) { - cur = cur.parentNode; - } - for ( ; cur; cur = cur.parentNode ) { - eventPath.push( cur ); - tmp = cur; - } - - // Only add window if we got to document (e.g., not plain obj or detached DOM) - if ( tmp === (elem.ownerDocument || document) ) { - eventPath.push( tmp.defaultView || tmp.parentWindow || window ); - } - } - - // Fire handlers on the event path - i = 0; - while ( (cur = eventPath[i++]) && !event.isPropagationStopped() ) { - - event.type = i > 1 ? - bubbleType : - special.bindType || type; - - // jQuery handler - handle = ( jQuery._data( cur, "events" ) || {} )[ event.type ] && jQuery._data( cur, "handle" ); - if ( handle ) { - handle.apply( cur, data ); - } - - // Native handler - handle = ontype && cur[ ontype ]; - if ( handle && handle.apply && jQuery.acceptData( cur ) ) { - event.result = handle.apply( cur, data ); - if ( event.result === false ) { - event.preventDefault(); - } - } - } - event.type = type; - - // If nobody prevented the default action, do it now - if ( !onlyHandlers && !event.isDefaultPrevented() ) { - - if ( (!special._default || special._default.apply( eventPath.pop(), data ) === false) && - jQuery.acceptData( elem ) ) { - - // Call a native DOM method on the target with the same name name as the event. - // Can't use an .isFunction() check here because IE6/7 fails that test. - // Don't do default actions on window, that's where global variables be (#6170) - if ( ontype && elem[ type ] && !jQuery.isWindow( elem ) ) { - - // Don't re-trigger an onFOO event when we call its FOO() method - tmp = elem[ ontype ]; - - if ( tmp ) { - elem[ ontype ] = null; - } - - // Prevent re-triggering of the same event, since we already bubbled it above - jQuery.event.triggered = type; - try { - elem[ type ](); - } catch ( e ) { - // IE<9 dies on focus/blur to hidden element (#1486,#12518) - // only reproducible on winXP IE8 native, not IE9 in IE8 mode - } - jQuery.event.triggered = undefined; - - if ( tmp ) { - elem[ ontype ] = tmp; - } - } - } - } - - return event.result; - }, - - dispatch: function( event ) { - - // Make a writable jQuery.Event from the native event object - event = jQuery.event.fix( event ); - - var i, ret, handleObj, matched, j, - handlerQueue = [], - args = slice.call( arguments ), - handlers = ( jQuery._data( this, "events" ) || {} )[ event.type ] || [], - special = jQuery.event.special[ event.type ] || {}; - - // Use the fix-ed jQuery.Event rather than the (read-only) native event - args[0] = event; - event.delegateTarget = this; - - // Call the preDispatch hook for the mapped type, and let it bail if desired - if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) { - return; - } - - // Determine handlers - handlerQueue = jQuery.event.handlers.call( this, event, handlers ); - - // Run delegates first; they may want to stop propagation beneath us - i = 0; - while ( (matched = handlerQueue[ i++ ]) && !event.isPropagationStopped() ) { - event.currentTarget = matched.elem; - - j = 0; - while ( (handleObj = matched.handlers[ j++ ]) && !event.isImmediatePropagationStopped() ) { - - // Triggered event must either 1) have no namespace, or - // 2) have namespace(s) a subset or equal to those in the bound event (both can have no namespace). - if ( !event.namespace_re || event.namespace_re.test( handleObj.namespace ) ) { - - event.handleObj = handleObj; - event.data = handleObj.data; - - ret = ( (jQuery.event.special[ handleObj.origType ] || {}).handle || handleObj.handler ) - .apply( matched.elem, args ); - - if ( ret !== undefined ) { - if ( (event.result = ret) === false ) { - event.preventDefault(); - event.stopPropagation(); - } - } - } - } - } - - // Call the postDispatch hook for the mapped type - if ( special.postDispatch ) { - special.postDispatch.call( this, event ); - } - - return event.result; - }, - - handlers: function( event, handlers ) { - var sel, handleObj, matches, i, - handlerQueue = [], - delegateCount = handlers.delegateCount, - cur = event.target; - - // Find delegate handlers - // Black-hole SVG instance trees (#13180) - // Avoid non-left-click bubbling in Firefox (#3861) - if ( delegateCount && cur.nodeType && (!event.button || event.type !== "click") ) { - - /* jshint eqeqeq: false */ - for ( ; cur != this; cur = cur.parentNode || this ) { - /* jshint eqeqeq: true */ - - // Don't check non-elements (#13208) - // Don't process clicks on disabled elements (#6911, #8165, #11382, #11764) - if ( cur.nodeType === 1 && (cur.disabled !== true || event.type !== "click") ) { - matches = []; - for ( i = 0; i < delegateCount; i++ ) { - handleObj = handlers[ i ]; - - // Don't conflict with Object.prototype properties (#13203) - sel = handleObj.selector + " "; - - if ( matches[ sel ] === undefined ) { - matches[ sel ] = handleObj.needsContext ? - jQuery( sel, this ).index( cur ) >= 0 : - jQuery.find( sel, this, null, [ cur ] ).length; - } - if ( matches[ sel ] ) { - matches.push( handleObj ); - } - } - if ( matches.length ) { - handlerQueue.push({ elem: cur, handlers: matches }); - } - } - } - } - - // Add the remaining (directly-bound) handlers - if ( delegateCount < handlers.length ) { - handlerQueue.push({ elem: this, handlers: handlers.slice( delegateCount ) }); - } - - return handlerQueue; - }, - - fix: function( event ) { - if ( event[ jQuery.expando ] ) { - return event; - } - - // Create a writable copy of the event object and normalize some properties - var i, prop, copy, - type = event.type, - originalEvent = event, - fixHook = this.fixHooks[ type ]; - - if ( !fixHook ) { - this.fixHooks[ type ] = fixHook = - rmouseEvent.test( type ) ? this.mouseHooks : - rkeyEvent.test( type ) ? this.keyHooks : - {}; - } - copy = fixHook.props ? this.props.concat( fixHook.props ) : this.props; - - event = new jQuery.Event( originalEvent ); - - i = copy.length; - while ( i-- ) { - prop = copy[ i ]; - event[ prop ] = originalEvent[ prop ]; - } - - // Support: IE<9 - // Fix target property (#1925) - if ( !event.target ) { - event.target = originalEvent.srcElement || document; - } - - // Support: Chrome 23+, Safari? - // Target should not be a text node (#504, #13143) - if ( event.target.nodeType === 3 ) { - event.target = event.target.parentNode; - } - - // Support: IE<9 - // For mouse/key events, metaKey==false if it's undefined (#3368, #11328) - event.metaKey = !!event.metaKey; - - return fixHook.filter ? fixHook.filter( event, originalEvent ) : event; - }, - - // Includes some event props shared by KeyEvent and MouseEvent - props: "altKey bubbles cancelable ctrlKey currentTarget eventPhase metaKey relatedTarget shiftKey target timeStamp view which".split(" "), - - fixHooks: {}, - - keyHooks: { - props: "char charCode key keyCode".split(" "), - filter: function( event, original ) { - - // Add which for key events - if ( event.which == null ) { - event.which = original.charCode != null ? original.charCode : original.keyCode; - } - - return event; - } - }, - - mouseHooks: { - props: "button buttons clientX clientY fromElement offsetX offsetY pageX pageY screenX screenY toElement".split(" "), - filter: function( event, original ) { - var body, eventDoc, doc, - button = original.button, - fromElement = original.fromElement; - - // Calculate pageX/Y if missing and clientX/Y available - if ( event.pageX == null && original.clientX != null ) { - eventDoc = event.target.ownerDocument || document; - doc = eventDoc.documentElement; - body = eventDoc.body; - - event.pageX = original.clientX + ( doc && doc.scrollLeft || body && body.scrollLeft || 0 ) - ( doc && doc.clientLeft || body && body.clientLeft || 0 ); - event.pageY = original.clientY + ( doc && doc.scrollTop || body && body.scrollTop || 0 ) - ( doc && doc.clientTop || body && body.clientTop || 0 ); - } - - // Add relatedTarget, if necessary - if ( !event.relatedTarget && fromElement ) { - event.relatedTarget = fromElement === event.target ? original.toElement : fromElement; - } - - // Add which for click: 1 === left; 2 === middle; 3 === right - // Note: button is not normalized, so don't use it - if ( !event.which && button !== undefined ) { - event.which = ( button & 1 ? 1 : ( button & 2 ? 3 : ( button & 4 ? 2 : 0 ) ) ); - } - - return event; - } - }, - - special: { - load: { - // Prevent triggered image.load events from bubbling to window.load - noBubble: true - }, - focus: { - // Fire native event if possible so blur/focus sequence is correct - trigger: function() { - if ( this !== safeActiveElement() && this.focus ) { - try { - this.focus(); - return false; - } catch ( e ) { - // Support: IE<9 - // If we error on focus to hidden element (#1486, #12518), - // let .trigger() run the handlers - } - } - }, - delegateType: "focusin" - }, - blur: { - trigger: function() { - if ( this === safeActiveElement() && this.blur ) { - this.blur(); - return false; - } - }, - delegateType: "focusout" - }, - click: { - // For checkbox, fire native event so checked state will be right - trigger: function() { - if ( jQuery.nodeName( this, "input" ) && this.type === "checkbox" && this.click ) { - this.click(); - return false; - } - }, - - // For cross-browser consistency, don't fire native .click() on links - _default: function( event ) { - return jQuery.nodeName( event.target, "a" ); - } - }, - - beforeunload: { - postDispatch: function( event ) { - - // Support: Firefox 20+ - // Firefox doesn't alert if the returnValue field is not set. - if ( event.result !== undefined && event.originalEvent ) { - event.originalEvent.returnValue = event.result; - } - } - } - }, - - simulate: function( type, elem, event, bubble ) { - // Piggyback on a donor event to simulate a different one. - // Fake originalEvent to avoid donor's stopPropagation, but if the - // simulated event prevents default then we do the same on the donor. - var e = jQuery.extend( - new jQuery.Event(), - event, - { - type: type, - isSimulated: true, - originalEvent: {} - } - ); - if ( bubble ) { - jQuery.event.trigger( e, null, elem ); - } else { - jQuery.event.dispatch.call( elem, e ); - } - if ( e.isDefaultPrevented() ) { - event.preventDefault(); - } - } -}; - -jQuery.removeEvent = document.removeEventListener ? - function( elem, type, handle ) { - if ( elem.removeEventListener ) { - elem.removeEventListener( type, handle, false ); - } - } : - function( elem, type, handle ) { - var name = "on" + type; - - if ( elem.detachEvent ) { - - // #8545, #7054, preventing memory leaks for custom events in IE6-8 - // detachEvent needed property on element, by name of that event, to properly expose it to GC - if ( typeof elem[ name ] === strundefined ) { - elem[ name ] = null; - } - - elem.detachEvent( name, handle ); - } - }; - -jQuery.Event = function( src, props ) { - // Allow instantiation without the 'new' keyword - if ( !(this instanceof jQuery.Event) ) { - return new jQuery.Event( src, props ); - } - - // Event object - if ( src && src.type ) { - this.originalEvent = src; - this.type = src.type; - - // Events bubbling up the document may have been marked as prevented - // by a handler lower down the tree; reflect the correct value. - this.isDefaultPrevented = src.defaultPrevented || - src.defaultPrevented === undefined && - // Support: IE < 9, Android < 4.0 - src.returnValue === false ? - returnTrue : - returnFalse; - - // Event type - } else { - this.type = src; - } - - // Put explicitly provided properties onto the event object - if ( props ) { - jQuery.extend( this, props ); - } - - // Create a timestamp if incoming event doesn't have one - this.timeStamp = src && src.timeStamp || jQuery.now(); - - // Mark it as fixed - this[ jQuery.expando ] = true; -}; - -// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding -// http://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html -jQuery.Event.prototype = { - isDefaultPrevented: returnFalse, - isPropagationStopped: returnFalse, - isImmediatePropagationStopped: returnFalse, - - preventDefault: function() { - var e = this.originalEvent; - - this.isDefaultPrevented = returnTrue; - if ( !e ) { - return; - } - - // If preventDefault exists, run it on the original event - if ( e.preventDefault ) { - e.preventDefault(); - - // Support: IE - // Otherwise set the returnValue property of the original event to false - } else { - e.returnValue = false; - } - }, - stopPropagation: function() { - var e = this.originalEvent; - - this.isPropagationStopped = returnTrue; - if ( !e ) { - return; - } - // If stopPropagation exists, run it on the original event - if ( e.stopPropagation ) { - e.stopPropagation(); - } - - // Support: IE - // Set the cancelBubble property of the original event to true - e.cancelBubble = true; - }, - stopImmediatePropagation: function() { - var e = this.originalEvent; - - this.isImmediatePropagationStopped = returnTrue; - - if ( e && e.stopImmediatePropagation ) { - e.stopImmediatePropagation(); - } - - this.stopPropagation(); - } -}; - -// Create mouseenter/leave events using mouseover/out and event-time checks -jQuery.each({ - mouseenter: "mouseover", - mouseleave: "mouseout", - pointerenter: "pointerover", - pointerleave: "pointerout" -}, function( orig, fix ) { - jQuery.event.special[ orig ] = { - delegateType: fix, - bindType: fix, - - handle: function( event ) { - var ret, - target = this, - related = event.relatedTarget, - handleObj = event.handleObj; - - // For mousenter/leave call the handler if related is outside the target. - // NB: No relatedTarget if the mouse left/entered the browser window - if ( !related || (related !== target && !jQuery.contains( target, related )) ) { - event.type = handleObj.origType; - ret = handleObj.handler.apply( this, arguments ); - event.type = fix; - } - return ret; - } - }; -}); - -// IE submit delegation -if ( !support.submitBubbles ) { - - jQuery.event.special.submit = { - setup: function() { - // Only need this for delegated form submit events - if ( jQuery.nodeName( this, "form" ) ) { - return false; - } - - // Lazy-add a submit handler when a descendant form may potentially be submitted - jQuery.event.add( this, "click._submit keypress._submit", function( e ) { - // Node name check avoids a VML-related crash in IE (#9807) - var elem = e.target, - form = jQuery.nodeName( elem, "input" ) || jQuery.nodeName( elem, "button" ) ? elem.form : undefined; - if ( form && !jQuery._data( form, "submitBubbles" ) ) { - jQuery.event.add( form, "submit._submit", function( event ) { - event._submit_bubble = true; - }); - jQuery._data( form, "submitBubbles", true ); - } - }); - // return undefined since we don't need an event listener - }, - - postDispatch: function( event ) { - // If form was submitted by the user, bubble the event up the tree - if ( event._submit_bubble ) { - delete event._submit_bubble; - if ( this.parentNode && !event.isTrigger ) { - jQuery.event.simulate( "submit", this.parentNode, event, true ); - } - } - }, - - teardown: function() { - // Only need this for delegated form submit events - if ( jQuery.nodeName( this, "form" ) ) { - return false; - } - - // Remove delegated handlers; cleanData eventually reaps submit handlers attached above - jQuery.event.remove( this, "._submit" ); - } - }; -} - -// IE change delegation and checkbox/radio fix -if ( !support.changeBubbles ) { - - jQuery.event.special.change = { - - setup: function() { - - if ( rformElems.test( this.nodeName ) ) { - // IE doesn't fire change on a check/radio until blur; trigger it on click - // after a propertychange. Eat the blur-change in special.change.handle. - // This still fires onchange a second time for check/radio after blur. - if ( this.type === "checkbox" || this.type === "radio" ) { - jQuery.event.add( this, "propertychange._change", function( event ) { - if ( event.originalEvent.propertyName === "checked" ) { - this._just_changed = true; - } - }); - jQuery.event.add( this, "click._change", function( event ) { - if ( this._just_changed && !event.isTrigger ) { - this._just_changed = false; - } - // Allow triggered, simulated change events (#11500) - jQuery.event.simulate( "change", this, event, true ); - }); - } - return false; - } - // Delegated event; lazy-add a change handler on descendant inputs - jQuery.event.add( this, "beforeactivate._change", function( e ) { - var elem = e.target; - - if ( rformElems.test( elem.nodeName ) && !jQuery._data( elem, "changeBubbles" ) ) { - jQuery.event.add( elem, "change._change", function( event ) { - if ( this.parentNode && !event.isSimulated && !event.isTrigger ) { - jQuery.event.simulate( "change", this.parentNode, event, true ); - } - }); - jQuery._data( elem, "changeBubbles", true ); - } - }); - }, - - handle: function( event ) { - var elem = event.target; - - // Swallow native change events from checkbox/radio, we already triggered them above - if ( this !== elem || event.isSimulated || event.isTrigger || (elem.type !== "radio" && elem.type !== "checkbox") ) { - return event.handleObj.handler.apply( this, arguments ); - } - }, - - teardown: function() { - jQuery.event.remove( this, "._change" ); - - return !rformElems.test( this.nodeName ); - } - }; -} - -// Create "bubbling" focus and blur events -if ( !support.focusinBubbles ) { - jQuery.each({ focus: "focusin", blur: "focusout" }, function( orig, fix ) { - - // Attach a single capturing handler on the document while someone wants focusin/focusout - var handler = function( event ) { - jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ), true ); - }; - - jQuery.event.special[ fix ] = { - setup: function() { - var doc = this.ownerDocument || this, - attaches = jQuery._data( doc, fix ); - - if ( !attaches ) { - doc.addEventListener( orig, handler, true ); - } - jQuery._data( doc, fix, ( attaches || 0 ) + 1 ); - }, - teardown: function() { - var doc = this.ownerDocument || this, - attaches = jQuery._data( doc, fix ) - 1; - - if ( !attaches ) { - doc.removeEventListener( orig, handler, true ); - jQuery._removeData( doc, fix ); - } else { - jQuery._data( doc, fix, attaches ); - } - } - }; - }); -} - -jQuery.fn.extend({ - - on: function( types, selector, data, fn, /*INTERNAL*/ one ) { - var type, origFn; - - // Types can be a map of types/handlers - if ( typeof types === "object" ) { - // ( types-Object, selector, data ) - if ( typeof selector !== "string" ) { - // ( types-Object, data ) - data = data || selector; - selector = undefined; - } - for ( type in types ) { - this.on( type, selector, data, types[ type ], one ); - } - return this; - } - - if ( data == null && fn == null ) { - // ( types, fn ) - fn = selector; - data = selector = undefined; - } else if ( fn == null ) { - if ( typeof selector === "string" ) { - // ( types, selector, fn ) - fn = data; - data = undefined; - } else { - // ( types, data, fn ) - fn = data; - data = selector; - selector = undefined; - } - } - if ( fn === false ) { - fn = returnFalse; - } else if ( !fn ) { - return this; - } - - if ( one === 1 ) { - origFn = fn; - fn = function( event ) { - // Can use an empty set, since event contains the info - jQuery().off( event ); - return origFn.apply( this, arguments ); - }; - // Use same guid so caller can remove using origFn - fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ ); - } - return this.each( function() { - jQuery.event.add( this, types, fn, data, selector ); - }); - }, - one: function( types, selector, data, fn ) { - return this.on( types, selector, data, fn, 1 ); - }, - off: function( types, selector, fn ) { - var handleObj, type; - if ( types && types.preventDefault && types.handleObj ) { - // ( event ) dispatched jQuery.Event - handleObj = types.handleObj; - jQuery( types.delegateTarget ).off( - handleObj.namespace ? handleObj.origType + "." + handleObj.namespace : handleObj.origType, - handleObj.selector, - handleObj.handler - ); - return this; - } - if ( typeof types === "object" ) { - // ( types-object [, selector] ) - for ( type in types ) { - this.off( type, selector, types[ type ] ); - } - return this; - } - if ( selector === false || typeof selector === "function" ) { - // ( types [, fn] ) - fn = selector; - selector = undefined; - } - if ( fn === false ) { - fn = returnFalse; - } - return this.each(function() { - jQuery.event.remove( this, types, fn, selector ); - }); - }, - - trigger: function( type, data ) { - return this.each(function() { - jQuery.event.trigger( type, data, this ); - }); - }, - triggerHandler: function( type, data ) { - var elem = this[0]; - if ( elem ) { - return jQuery.event.trigger( type, data, elem, true ); - } - } -}); - - -function createSafeFragment( document ) { - var list = nodeNames.split( "|" ), - safeFrag = document.createDocumentFragment(); - - if ( safeFrag.createElement ) { - while ( list.length ) { - safeFrag.createElement( - list.pop() - ); - } - } - return safeFrag; -} - -var nodeNames = "abbr|article|aside|audio|bdi|canvas|data|datalist|details|figcaption|figure|footer|" + - "header|hgroup|mark|meter|nav|output|progress|section|summary|time|video", - rinlinejQuery = / jQuery\d+="(?:null|\d+)"/g, - rnoshimcache = new RegExp("<(?:" + nodeNames + ")[\\s/>]", "i"), - rleadingWhitespace = /^\s+/, - rxhtmlTag = /<(?!area|br|col|embed|hr|img|input|link|meta|param)(([\w:]+)[^>]*)\/>/gi, - rtagName = /<([\w:]+)/, - rtbody = /\s*$/g, - - // We have to close these tags to support XHTML (#13200) - wrapMap = { - option: [ 1, "" ], - legend: [ 1, "
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" ], - - // IE6-8 can't serialize link, script, style, or any html5 (NoScope) tags, - // unless wrapped in a div with non-breaking characters in front of it. - _default: support.htmlSerialize ? [ 0, "", "" ] : [ 1, "X
", "
" ] - }, - safeFragment = createSafeFragment( document ), - fragmentDiv = safeFragment.appendChild( document.createElement("div") ); - -wrapMap.optgroup = wrapMap.option; -wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead; -wrapMap.th = wrapMap.td; - -function getAll( context, tag ) { - var elems, elem, - i = 0, - found = typeof context.getElementsByTagName !== strundefined ? context.getElementsByTagName( tag || "*" ) : - typeof context.querySelectorAll !== strundefined ? context.querySelectorAll( tag || "*" ) : - undefined; - - if ( !found ) { - for ( found = [], elems = context.childNodes || context; (elem = elems[i]) != null; i++ ) { - if ( !tag || jQuery.nodeName( elem, tag ) ) { - found.push( elem ); - } else { - jQuery.merge( found, getAll( elem, tag ) ); - } - } - } - - return tag === undefined || tag && jQuery.nodeName( context, tag ) ? - jQuery.merge( [ context ], found ) : - found; -} - -// Used in buildFragment, fixes the defaultChecked property -function fixDefaultChecked( elem ) { - if ( rcheckableType.test( elem.type ) ) { - elem.defaultChecked = elem.checked; - } -} - -// Support: IE<8 -// Manipulating tables requires a tbody -function manipulationTarget( elem, content ) { - return jQuery.nodeName( elem, "table" ) && - jQuery.nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ? - - elem.getElementsByTagName("tbody")[0] || - elem.appendChild( elem.ownerDocument.createElement("tbody") ) : - elem; -} - -// Replace/restore the type attribute of script elements for safe DOM manipulation -function disableScript( elem ) { - elem.type = (jQuery.find.attr( elem, "type" ) !== null) + "/" + elem.type; - return elem; -} -function restoreScript( elem ) { - var match = rscriptTypeMasked.exec( elem.type ); - if ( match ) { - elem.type = match[1]; - } else { - elem.removeAttribute("type"); - } - return elem; -} - -// Mark scripts as having already been evaluated -function setGlobalEval( elems, refElements ) { - var elem, - i = 0; - for ( ; (elem = elems[i]) != null; i++ ) { - jQuery._data( elem, "globalEval", !refElements || jQuery._data( refElements[i], "globalEval" ) ); - } -} - -function cloneCopyEvent( src, dest ) { - - if ( dest.nodeType !== 1 || !jQuery.hasData( src ) ) { - return; - } - - var type, i, l, - oldData = jQuery._data( src ), - curData = jQuery._data( dest, oldData ), - events = oldData.events; - - if ( events ) { - delete curData.handle; - curData.events = {}; - - for ( type in events ) { - for ( i = 0, l = events[ type ].length; i < l; i++ ) { - jQuery.event.add( dest, type, events[ type ][ i ] ); - } - } - } - - // make the cloned public data object a copy from the original - if ( curData.data ) { - curData.data = jQuery.extend( {}, curData.data ); - } -} - -function fixCloneNodeIssues( src, dest ) { - var nodeName, e, data; - - // We do not need to do anything for non-Elements - if ( dest.nodeType !== 1 ) { - return; - } - - nodeName = dest.nodeName.toLowerCase(); - - // IE6-8 copies events bound via attachEvent when using cloneNode. - if ( !support.noCloneEvent && dest[ jQuery.expando ] ) { - data = jQuery._data( dest ); - - for ( e in data.events ) { - jQuery.removeEvent( dest, e, data.handle ); - } - - // Event data gets referenced instead of copied if the expando gets copied too - dest.removeAttribute( jQuery.expando ); - } - - // IE blanks contents when cloning scripts, and tries to evaluate newly-set text - if ( nodeName === "script" && dest.text !== src.text ) { - disableScript( dest ).text = src.text; - restoreScript( dest ); - - // IE6-10 improperly clones children of object elements using classid. - // IE10 throws NoModificationAllowedError if parent is null, #12132. - } else if ( nodeName === "object" ) { - if ( dest.parentNode ) { - dest.outerHTML = src.outerHTML; - } - - // This path appears unavoidable for IE9. When cloning an object - // element in IE9, the outerHTML strategy above is not sufficient. - // If the src has innerHTML and the destination does not, - // copy the src.innerHTML into the dest.innerHTML. #10324 - if ( support.html5Clone && ( src.innerHTML && !jQuery.trim(dest.innerHTML) ) ) { - dest.innerHTML = src.innerHTML; - } - - } else if ( nodeName === "input" && rcheckableType.test( src.type ) ) { - // IE6-8 fails to persist the checked state of a cloned checkbox - // or radio button. Worse, IE6-7 fail to give the cloned element - // a checked appearance if the defaultChecked value isn't also set - - dest.defaultChecked = dest.checked = src.checked; - - // IE6-7 get confused and end up setting the value of a cloned - // checkbox/radio button to an empty string instead of "on" - if ( dest.value !== src.value ) { - dest.value = src.value; - } - - // IE6-8 fails to return the selected option to the default selected - // state when cloning options - } else if ( nodeName === "option" ) { - dest.defaultSelected = dest.selected = src.defaultSelected; - - // IE6-8 fails to set the defaultValue to the correct value when - // cloning other types of input fields - } else if ( nodeName === "input" || nodeName === "textarea" ) { - dest.defaultValue = src.defaultValue; - } -} - -jQuery.extend({ - clone: function( elem, dataAndEvents, deepDataAndEvents ) { - var destElements, node, clone, i, srcElements, - inPage = jQuery.contains( elem.ownerDocument, elem ); - - if ( support.html5Clone || jQuery.isXMLDoc(elem) || !rnoshimcache.test( "<" + elem.nodeName + ">" ) ) { - clone = elem.cloneNode( true ); - - // IE<=8 does not properly clone detached, unknown element nodes - } else { - fragmentDiv.innerHTML = elem.outerHTML; - fragmentDiv.removeChild( clone = fragmentDiv.firstChild ); - } - - if ( (!support.noCloneEvent || !support.noCloneChecked) && - (elem.nodeType === 1 || elem.nodeType === 11) && !jQuery.isXMLDoc(elem) ) { - - // We eschew Sizzle here for performance reasons: http://jsperf.com/getall-vs-sizzle/2 - destElements = getAll( clone ); - srcElements = getAll( elem ); - - // Fix all IE cloning issues - for ( i = 0; (node = srcElements[i]) != null; ++i ) { - // Ensure that the destination node is not null; Fixes #9587 - if ( destElements[i] ) { - fixCloneNodeIssues( node, destElements[i] ); - } - } - } - - // Copy the events from the original to the clone - if ( dataAndEvents ) { - if ( deepDataAndEvents ) { - srcElements = srcElements || getAll( elem ); - destElements = destElements || getAll( clone ); - - for ( i = 0; (node = srcElements[i]) != null; i++ ) { - cloneCopyEvent( node, destElements[i] ); - } - } else { - cloneCopyEvent( elem, clone ); - } - } - - // Preserve script evaluation history - destElements = getAll( clone, "script" ); - if ( destElements.length > 0 ) { - setGlobalEval( destElements, !inPage && getAll( elem, "script" ) ); - } - - destElements = srcElements = node = null; - - // Return the cloned set - return clone; - }, - - buildFragment: function( elems, context, scripts, selection ) { - var j, elem, contains, - tmp, tag, tbody, wrap, - l = elems.length, - - // Ensure a safe fragment - safe = createSafeFragment( context ), - - nodes = [], - i = 0; - - for ( ; i < l; i++ ) { - elem = elems[ i ]; - - if ( elem || elem === 0 ) { - - // Add nodes directly - if ( jQuery.type( elem ) === "object" ) { - jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem ); - - // Convert non-html into a text node - } else if ( !rhtml.test( elem ) ) { - nodes.push( context.createTextNode( elem ) ); - - // Convert html into DOM nodes - } else { - tmp = tmp || safe.appendChild( context.createElement("div") ); - - // Deserialize a standard representation - tag = (rtagName.exec( elem ) || [ "", "" ])[ 1 ].toLowerCase(); - wrap = wrapMap[ tag ] || wrapMap._default; - - tmp.innerHTML = wrap[1] + elem.replace( rxhtmlTag, "<$1>" ) + wrap[2]; - - // Descend through wrappers to the right content - j = wrap[0]; - while ( j-- ) { - tmp = tmp.lastChild; - } - - // Manually add leading whitespace removed by IE - if ( !support.leadingWhitespace && rleadingWhitespace.test( elem ) ) { - nodes.push( context.createTextNode( rleadingWhitespace.exec( elem )[0] ) ); - } - - // Remove IE's autoinserted from table fragments - if ( !support.tbody ) { - - // String was a , *may* have spurious - elem = tag === "table" && !rtbody.test( elem ) ? - tmp.firstChild : - - // String was a bare or - wrap[1] === "
" && !rtbody.test( elem ) ? - tmp : - 0; - - j = elem && elem.childNodes.length; - while ( j-- ) { - if ( jQuery.nodeName( (tbody = elem.childNodes[j]), "tbody" ) && !tbody.childNodes.length ) { - elem.removeChild( tbody ); - } - } - } - - jQuery.merge( nodes, tmp.childNodes ); - - // Fix #12392 for WebKit and IE > 9 - tmp.textContent = ""; - - // Fix #12392 for oldIE - while ( tmp.firstChild ) { - tmp.removeChild( tmp.firstChild ); - } - - // Remember the top-level container for proper cleanup - tmp = safe.lastChild; - } - } - } - - // Fix #11356: Clear elements from fragment - if ( tmp ) { - safe.removeChild( tmp ); - } - - // Reset defaultChecked for any radios and checkboxes - // about to be appended to the DOM in IE 6/7 (#8060) - if ( !support.appendChecked ) { - jQuery.grep( getAll( nodes, "input" ), fixDefaultChecked ); - } - - i = 0; - while ( (elem = nodes[ i++ ]) ) { - - // #4087 - If origin and destination elements are the same, and this is - // that element, do not do anything - if ( selection && jQuery.inArray( elem, selection ) !== -1 ) { - continue; - } - - contains = jQuery.contains( elem.ownerDocument, elem ); - - // Append to fragment - tmp = getAll( safe.appendChild( elem ), "script" ); - - // Preserve script evaluation history - if ( contains ) { - setGlobalEval( tmp ); - } - - // Capture executables - if ( scripts ) { - j = 0; - while ( (elem = tmp[ j++ ]) ) { - if ( rscriptType.test( elem.type || "" ) ) { - scripts.push( elem ); - } - } - } - } - - tmp = null; - - return safe; - }, - - cleanData: function( elems, /* internal */ acceptData ) { - var elem, type, id, data, - i = 0, - internalKey = jQuery.expando, - cache = jQuery.cache, - deleteExpando = support.deleteExpando, - special = jQuery.event.special; - - for ( ; (elem = elems[i]) != null; i++ ) { - if ( acceptData || jQuery.acceptData( elem ) ) { - - id = elem[ internalKey ]; - data = id && cache[ id ]; - - if ( data ) { - if ( data.events ) { - for ( type in data.events ) { - if ( special[ type ] ) { - jQuery.event.remove( elem, type ); - - // This is a shortcut to avoid jQuery.event.remove's overhead - } else { - jQuery.removeEvent( elem, type, data.handle ); - } - } - } - - // Remove cache only if it was not already removed by jQuery.event.remove - if ( cache[ id ] ) { - - delete cache[ id ]; - - // IE does not allow us to delete expando properties from nodes, - // nor does it have a removeAttribute function on Document nodes; - // we must handle all of these cases - if ( deleteExpando ) { - delete elem[ internalKey ]; - - } else if ( typeof elem.removeAttribute !== strundefined ) { - elem.removeAttribute( internalKey ); - - } else { - elem[ internalKey ] = null; - } - - deletedIds.push( id ); - } - } - } - } - } -}); - -jQuery.fn.extend({ - text: function( value ) { - return access( this, function( value ) { - return value === undefined ? - jQuery.text( this ) : - this.empty().append( ( this[0] && this[0].ownerDocument || document ).createTextNode( value ) ); - }, null, value, arguments.length ); - }, - - append: function() { - return this.domManip( arguments, function( elem ) { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - var target = manipulationTarget( this, elem ); - target.appendChild( elem ); - } - }); - }, - - prepend: function() { - return this.domManip( arguments, function( elem ) { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - var target = manipulationTarget( this, elem ); - target.insertBefore( elem, target.firstChild ); - } - }); - }, - - before: function() { - return this.domManip( arguments, function( elem ) { - if ( this.parentNode ) { - this.parentNode.insertBefore( elem, this ); - } - }); - }, - - after: function() { - return this.domManip( arguments, function( elem ) { - if ( this.parentNode ) { - this.parentNode.insertBefore( elem, this.nextSibling ); - } - }); - }, - - remove: function( selector, keepData /* Internal Use Only */ ) { - var elem, - elems = selector ? jQuery.filter( selector, this ) : this, - i = 0; - - for ( ; (elem = elems[i]) != null; i++ ) { - - if ( !keepData && elem.nodeType === 1 ) { - jQuery.cleanData( getAll( elem ) ); - } - - if ( elem.parentNode ) { - if ( keepData && jQuery.contains( elem.ownerDocument, elem ) ) { - setGlobalEval( getAll( elem, "script" ) ); - } - elem.parentNode.removeChild( elem ); - } - } - - return this; - }, - - empty: function() { - var elem, - i = 0; - - for ( ; (elem = this[i]) != null; i++ ) { - // Remove element nodes and prevent memory leaks - if ( elem.nodeType === 1 ) { - jQuery.cleanData( getAll( elem, false ) ); - } - - // Remove any remaining nodes - while ( elem.firstChild ) { - elem.removeChild( elem.firstChild ); - } - - // If this is a select, ensure that it displays empty (#12336) - // Support: IE<9 - if ( elem.options && jQuery.nodeName( elem, "select" ) ) { - elem.options.length = 0; - } - } - - return this; - }, - - clone: function( dataAndEvents, deepDataAndEvents ) { - dataAndEvents = dataAndEvents == null ? false : dataAndEvents; - deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents; - - return this.map(function() { - return jQuery.clone( this, dataAndEvents, deepDataAndEvents ); - }); - }, - - html: function( value ) { - return access( this, function( value ) { - var elem = this[ 0 ] || {}, - i = 0, - l = this.length; - - if ( value === undefined ) { - return elem.nodeType === 1 ? - elem.innerHTML.replace( rinlinejQuery, "" ) : - undefined; - } - - // See if we can take a shortcut and just use innerHTML - if ( typeof value === "string" && !rnoInnerhtml.test( value ) && - ( support.htmlSerialize || !rnoshimcache.test( value ) ) && - ( support.leadingWhitespace || !rleadingWhitespace.test( value ) ) && - !wrapMap[ (rtagName.exec( value ) || [ "", "" ])[ 1 ].toLowerCase() ] ) { - - value = value.replace( rxhtmlTag, "<$1>" ); - - try { - for (; i < l; i++ ) { - // Remove element nodes and prevent memory leaks - elem = this[i] || {}; - if ( elem.nodeType === 1 ) { - jQuery.cleanData( getAll( elem, false ) ); - elem.innerHTML = value; - } - } - - elem = 0; - - // If using innerHTML throws an exception, use the fallback method - } catch(e) {} - } - - if ( elem ) { - this.empty().append( value ); - } - }, null, value, arguments.length ); - }, - - replaceWith: function() { - var arg = arguments[ 0 ]; - - // Make the changes, replacing each context element with the new content - this.domManip( arguments, function( elem ) { - arg = this.parentNode; - - jQuery.cleanData( getAll( this ) ); - - if ( arg ) { - arg.replaceChild( elem, this ); - } - }); - - // Force removal if there was no new content (e.g., from empty arguments) - return arg && (arg.length || arg.nodeType) ? this : this.remove(); - }, - - detach: function( selector ) { - return this.remove( selector, true ); - }, - - domManip: function( args, callback ) { - - // Flatten any nested arrays - args = concat.apply( [], args ); - - var first, node, hasScripts, - scripts, doc, fragment, - i = 0, - l = this.length, - set = this, - iNoClone = l - 1, - value = args[0], - isFunction = jQuery.isFunction( value ); - - // We can't cloneNode fragments that contain checked, in WebKit - if ( isFunction || - ( l > 1 && typeof value === "string" && - !support.checkClone && rchecked.test( value ) ) ) { - return this.each(function( index ) { - var self = set.eq( index ); - if ( isFunction ) { - args[0] = value.call( this, index, self.html() ); - } - self.domManip( args, callback ); - }); - } - - if ( l ) { - fragment = jQuery.buildFragment( args, this[ 0 ].ownerDocument, false, this ); - first = fragment.firstChild; - - if ( fragment.childNodes.length === 1 ) { - fragment = first; - } - - if ( first ) { - scripts = jQuery.map( getAll( fragment, "script" ), disableScript ); - hasScripts = scripts.length; - - // Use the original fragment for the last item instead of the first because it can end up - // being emptied incorrectly in certain situations (#8070). - for ( ; i < l; i++ ) { - node = fragment; - - if ( i !== iNoClone ) { - node = jQuery.clone( node, true, true ); - - // Keep references to cloned scripts for later restoration - if ( hasScripts ) { - jQuery.merge( scripts, getAll( node, "script" ) ); - } - } - - callback.call( this[i], node, i ); - } - - if ( hasScripts ) { - doc = scripts[ scripts.length - 1 ].ownerDocument; - - // Reenable scripts - jQuery.map( scripts, restoreScript ); - - // Evaluate executable scripts on first document insertion - for ( i = 0; i < hasScripts; i++ ) { - node = scripts[ i ]; - if ( rscriptType.test( node.type || "" ) && - !jQuery._data( node, "globalEval" ) && jQuery.contains( doc, node ) ) { - - if ( node.src ) { - // Optional AJAX dependency, but won't run scripts if not present - if ( jQuery._evalUrl ) { - jQuery._evalUrl( node.src ); - } - } else { - jQuery.globalEval( ( node.text || node.textContent || node.innerHTML || "" ).replace( rcleanScript, "" ) ); - } - } - } - } - - // Fix #11809: Avoid leaking memory - fragment = first = null; - } - } - - return this; - } -}); - -jQuery.each({ - appendTo: "append", - prependTo: "prepend", - insertBefore: "before", - insertAfter: "after", - replaceAll: "replaceWith" -}, function( name, original ) { - jQuery.fn[ name ] = function( selector ) { - var elems, - i = 0, - ret = [], - insert = jQuery( selector ), - last = insert.length - 1; - - for ( ; i <= last; i++ ) { - elems = i === last ? this : this.clone(true); - jQuery( insert[i] )[ original ]( elems ); - - // Modern browsers can apply jQuery collections as arrays, but oldIE needs a .get() - push.apply( ret, elems.get() ); - } - - return this.pushStack( ret ); - }; -}); - - -var iframe, - elemdisplay = {}; - -/** - * Retrieve the actual display of a element - * @param {String} name nodeName of the element - * @param {Object} doc Document object - */ -// Called only from within defaultDisplay -function actualDisplay( name, doc ) { - var style, - elem = jQuery( doc.createElement( name ) ).appendTo( doc.body ), - - // getDefaultComputedStyle might be reliably used only on attached element - display = window.getDefaultComputedStyle && ( style = window.getDefaultComputedStyle( elem[ 0 ] ) ) ? - - // Use of this method is a temporary fix (more like optmization) until something better comes along, - // since it was removed from specification and supported only in FF - style.display : jQuery.css( elem[ 0 ], "display" ); - - // We don't have any data stored on the element, - // so use "detach" method as fast way to get rid of the element - elem.detach(); - - return display; -} - -/** - * Try to determine the default display value of an element - * @param {String} nodeName - */ -function defaultDisplay( nodeName ) { - var doc = document, - display = elemdisplay[ nodeName ]; - - if ( !display ) { - display = actualDisplay( nodeName, doc ); - - // If the simple way fails, read from inside an iframe - if ( display === "none" || !display ) { - - // Use the already-created iframe if possible - iframe = (iframe || jQuery( "