Michela Traglia
Ayushi Agrawal
RNA-seq provides powerful insights into gene expression and cellular processes. Unlock the full potential of your RNA-seq data in this introductory, hands-on three-session workshop covering a typical bulk RNA-seq workflow, from processing raw sequencing reads to identifying differentially expressed genes and interpreting their biological significance.
In the first two sessions, you’ll learn how to perform a quality check of raw data in the formats provided by sequencing centers, trim adapters, map reads to a reference genome, and tally gene-wise counts. In the third session, you’ll then bring those counts into R to model complex experimental designs and test hypotheses using edgeR’s generalized linear models to extract real biological meaning from your data.
This is an intermediate workshop in the RNA-Seq Analysis series.
Prerequisites for demo: Participants should be comfortable running commands on the Unix command line and have prior experience with R.
Visit the workshop site for more details and materials.
This workshop series is made possible through the generous support of Gladstone Institutes, Genentech, UCSF and Gladstone-CIRM SRL.
