Bioinformatics workshop series

Register: https://schedule.yale.edu/event/11974788

Presenter: Dr. Sofia Fertuzinhos, Bioinformatics Support Hub, CWML

Summary: In this session, we will teach you the basics of analyzing bulk RNA-seq data using the open-source software RStudio (download from here) and the popular package "DESeq2". Specifically, we will focus on performing differential gene expression analysis, which involves identifying genes that are differentially expressed between two or more conditions.

You will learn how to:

• Import data files into RStudio
• Load R packages
• Run “DESeq2”
• Save processed data files into your computer (e.g. normalized counts, DEX genes table)
• Perform basic data visualization (e.g. PCA plot, MA plot)

Requirements:

Bring a laptop with R and RStudio installed and running (download from here). You may also use your

HPC account to access R/RStudio in Yale Open OnDemand.