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Citation reference (copy and paste into your CV): "Introduction to Transcriptomics: from counts to functional analysis". (August, 2022) Training series (14 hours) Bioinformatics Support Hub, Cushing/Whitney Medical Library, Yale School of Medicine. https://guides.library.yale.edu/Intro_transcriptomics.

Course Summary:

The Bioinformatics Support Hub has designed this hands-on teaching series for researchers interested in learning the basics steps for re-analysis of publicly available bulk-RNAseq data. You have learned basic genomic data annotation concepts, where to find data to re-analyze, how to perform differential gene analysis, how to add gene annotations in R, how to visualize your results, and finally, different approaches to perform gene pathway analysis. 

Duration: 14 hours (2h/session)

Content:

• Session 1 - Intro to annotation of gene expression data 
• Session 2 - Where in the World is the Data You Need? How to Find and Reuse Data (e.g. GREIN) 
• Session 3 - Re-analyze public dataset with DESeq2 package 
• Session 4 - biomaRt using R package
• Session 5 - Visualization with Qlucore 
• Session 6 - Functional analysis of omics data: Overrepresentation Analysis ORA 
• Session 7 - Gene Set Enrichment Analysis GSEA 

  Sofia Fertuzinhos       Rolando Garcia-Milian     Kaitlin Throgmorton