Date: February 20th, 2025
Instructor: Simona Merlini, Francesca Vitali
Level: Basic/Intermediate
Requirements: R, RStudio (download link)
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.
- 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.
- Check out Wiki for worshop materials.
- R demo February 2025
- R demo 2
- ClusterProfiler wiki