In Collaboration with Robert Bjornson, Ph.D, Yale Center for Research Computing
This hands-on training session will provide the basics on RNA-seq data analysis. Attendees will learn how to take RNA-seq data from a FASTQ file and obtain an interpretable Excel spreadsheet including:
- how to map and align FASTQ files using TopHat
- assemble transcripts using Cufflinks
- extract differential expression results using Cuffdiff
We will be doing this in the UNIX environment using Yale Center for Research Computer’s LOUISE high-performance cluster.
Prerequisite for attendance: Although there are no prerequisites other than familiarity with general biological concepts, it is strongly recommended that participants have basic familiarity with
scripting in UNIX.
Attendance is limited to 10 participants in order to foster an effective learning environment and ensure sufficient one-on-one attention.
Once the session is full, we welcome people to add themselves to the waitlist by filling the form and clicking on the button below. If any spots open up, we’ll offer them to those on the waitlist on a first-come first-served basis.
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