RNA sequencing (RNAseq) has become the most common method for studying genome wide gene expression. This method can be used for any experimental species and can be extended to study sequence variants (mutation discovery), splice variants, translocations, and allele-specific expression. This workshop will provide a brief overview of the methods used to collect RNAseq data and then focus on data analysis. Workshop participants will complete a hands-on RNAseq analysis workflow starting with public RNAseq data from the GEO website and compute differential expression analysis using R (Bioconductor) software. A laptop with R installed is required and Mac laptops with R are available to borrow from the library on a first-come first-served basis.

Basic knowledge of R strongly suggested. Participation in the Data Day to Day Introduction to R for Non-Programmers or prior experience is acceptable.

Taught by Dr. Stuart Brown