Finding Differential Expressed Genes Using “DESeq2” in RStudio (In-Person)

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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).