RNA-Seq Data Analysis in R: An Effective Step-by-Step Guide
🧬 RNAseq Batch 6: GO and KEGG Pathway Enrichment Analysis in R – Complete Tutorial
In this hands-on session, you'll learn how to perform Gene Ontology (GO) and KEGG Pathway Enrichment Analysis in R using popular packages like clusterProfiler, org.Hs.eg.db, and enrichplot.
📘 What’s covered in this step-by-step guide:
🔹 Introduction to GO & KEGG
🔹 Convert gene symbols to Entrez IDs
🔹 Perform GO enrichment (enrichGO)
🔹 Perform KEGG enrichment (enrichKEGG)
🔹 Visualize results with dotplot(), emapplot(), and cnetplot()
🔹 Real dataset demonstration for biological insights
Perfect for bioinformaticians, researchers, and students working on RNA-seq and gene expression analysis.
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📢 Join our complete RNA-seq training covering DESeq2, enrichment, pathway, and visualization
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