Harvard Chan Bioinformatics Core presents: Introduction to Differential Gene Expression and Functional Analysis

This hands-on workshop will introduce participants to statistical methods and considerations utilized to perform differential gene expression analysis on bulk RNA-seq data. Participants will learn about best practices in quality control, how to perform statistical analysis to obtain lists of differentially expressed (DE) genes using DESeq2. The workshop will also give participants an overview of tools for functional analysis of DE genes and how to extract some biological meaning from large gene lists.

Participants will learn how to:

  • Evaluate PCA & correlation heatmaps for QC
  • Incorporate theory of DGE analysis steps into hands-on workflow
  • Visually explore DGE results with expression heatmaps & volcano plots
  • Perform functional analysis of the DGE results

Download the announcement below for more information: