Introduction to RNA-Seq Analysis

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.