GO and Enrichment Analysis in R | RNA-Seq Functional Analysis with clusterProfiler | Tutorial
📊 Welcome to this RNA-Seq Functional Analysis tutorial!
In this video, you'll learn how to perform Gene Ontology (GO) and enrichment analysis in R to interpret the biological meaning of your differentially expressed genes (DEGs).
Using powerful R packages like clusterProfiler, org.Hs.eg.db, and enrichplot, we’ll walk through a complete pipeline for GO enrichment and KEGG pathway analysis.
🔍 What You’ll Learn:
✅ What is GO enrichment and why it’s important
✅ Install and load essential R packages: clusterProfiler, enrichplot, DOSE, org.Hs.eg.db
✅ Convert gene symbols to Entrez IDs
✅ Perform:
GO enrichment analysis (BP, CC, MF)
KEGG pathway enrichment
Dotplots, barplots, and enrichment maps
✅ Visualize enriched terms using enrichplot::dotplot() and cnetplot()
✅ Export results for publications
Ideal for bioinformatics researchers, genomics students, and RNA-seq analysts working with DESeq2 or edgeR output.