Downstream Analysis of RNA-Seq Results in R: GSEA, PPI Networks, and Biological Interpretation

Date: November 19th
Instructor: Simona Merlini
Level: Basic/Intermediate
Requirements: R, RStudio (download link)

Workshop Overview

Building on the foundation of identifying differentially expressed genes (DEGs) from our previous workshop, it's time to unlock the biological meaning behind those findings. In this session, we'll dive into powerful downstream analyses to uncover the rich insights hidden in your RNA-seq data.

Key Learning Goals:

• Conduct Gene Set Enrichment Analysis (GSEA) for pathway-level insights.
• Build Protein-Protein Interaction (PPI) Networks to explore functional connections between genes.
• Explore drug repurposing opportunities based on RNA-seq data.

Workshop material

• Check out Wiki for worshop materials.
• R demo