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A Nextflow pipeline for consensus, phased and pan-genome annotation

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Nextflow run with conda ❌ run with docker run with singularity Launch on Seqera Platform

Introduction

plant-food-research-open/genepal is a bioinformatics pipeline for single genome, multiple genomes and pan-genome annotation. An overview is shown in the Pipeline Flowchart and the references for the tools are listed in CITATIONS.md.

Pipeline Flowchart

Usage

Refer to usage, parameters and output documents for details.

Note

If you are new to Nextflow and nf-core, please refer to this page on how to set-up Nextflow. Make sure to test your setup with -profile test before running the workflow on actual data.

First, prepare an assemblysheet with your input genomes that looks as follows:

assemblysheet.csv:

tag         ,fasta              ,is_masked
a_thaliana  ,/path/to/genome.fa ,yes

Each row represents an input genome and the fields are:

  • tag: A unique tag which represents the genome throughout the pipeline
  • fasta: fasta file for the genome
  • is_masked: yes or no to denote whether the fasta file is already masked or not

At minimum, a file with proteins as evidence is also required. Now, you can run the pipeline using:

nextflow run plant-food-research-open/genepal \
  -profile <docker/singularity/.../institute> \
  --input assemblysheet.csv \
  --protein_evidence proteins.faa \
  --outdir <OUTDIR>

Warning

Please provide pipeline parameters via the CLI or Nextflow -params-file option. Custom config files including those provided by the -c Nextflow option can be used to provide any configuration except for parameters; see docs.

Plant&Food Users

Download the pipeline to your /workspace/$USER folder. Change the parameters defined in the pfr/params.json file. Submit the pipeline to SLURM for execution.

sbatch ./pfr_genepal

Credits

plant-food-research-open/genepal workflows were originally scripted by Jason Shiller (@jasonshiller). Usman Rashid (@gallvp) wrote the Nextflow pipeline.

We thank the following people for their extensive assistance in the development of this pipeline:

The pipeline uses nf-core modules contributed by following authors:

Contributions and Support

If you would like to contribute to this pipeline, please see the contributing guidelines.

Citations

An extensive list of references for the tools used by the pipeline can be found in the CITATIONS.md file.

This pipeline uses code and infrastructure developed and maintained by the nf-core community, reused here under the MIT license.

The nf-core framework for community-curated bioinformatics pipelines.

Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.

Nat Biotechnol. 2020 Feb 13. doi: 10.1038/s41587-020-0439-x.