All documentation for the workshop is best viewed from the github.io pages
June 24, 2024 - June 28, 2024, 9 a.m. - 5:00 p.m daily. online learning
Contact - UC Davis Bioinformatics Core, [email protected]
This workshop will include a rich collection of lectures and hands-on sessions with individualized instructor support, covering both theory and tools associated with RNA-seq data analysis. Participants will explore experimental design, technology usage, cost estimation, data generation, and analysis (command-line and R) of RNA-Seq data, generated from the Illumina sequencing platform. Participants will use software and protocols, create and modify workflows, and diagnose/treat problematic data utilizing high performance computing services. Exercises will be performed with provided datasets.
To get the most out of this course, please complete the prerequisite material in command line and R before the course, and contact us with any questions.
Participants must have access to a computer with a reliable connection to the internet, current versions of R version 4.4.1, or at least R version >= 4.3.0 and Rstudio, and an application that allows them to ssh into a server (see this page)
Who should attend? … Prior course participants have included faculty, post docs, grad students, staff, and industry researchers.
What are the prerequisites? … To get the most out of this course, please complete the prerequisite material in command line and R before the course, and contact us with any questions.
What do I need to bring? … You will need access to a computer with a reliable connection to the internet, current versions of R version 4.4.1, or at least R version >= 4.3.0 and Rstudio, and an application that allows them to ssh into a server (see this page). If your department does not allow you to install software on your computer, please contact us ahead of time.
Can I bring my own data? … We will provide datasets for use during the workshop, as this helps to keep the workshop moving. There may be time, however, to discuss your own datasets and how you might work with them outside of the workshop.
How much does it cost? … The registration fee is $1,000 for current students, postdocs, staff and faculty at Univeristy of California campus' or UC National Labs (LBNL, LANL, LLNL), $1,200 for other academic or non-profit participants and $1,700 for other participants. We accept credit cards, as well as UC Davis recharge accounts, for payment.
How do I apply? … All registration is “first-come, first-served”. There is no application process. So, sign up as soon as possible to ensure your place in the workshop.
Where can I find more information, including your policies? ... Go to our website and check out our FAQ and Policies.
If you have any questions, please don’t hesitate to contact us at [email protected]
Register for the course.