This course consists of a live session on counting and differential expression analysis in R and a Q&A session to answer all the questions that arise when trying the analysis on your own data. The live session will demonstrate R tools to generate count files like featureCounts, and summarizeOverlaps are demonstrated, as well as how count files from HTSeq-Count, FeatureCounts, Salmon or Kallisto are used to identify differentially expressed genes.

Objectives

The course will show:

• R tools to generate count files like featureCounts, and summarizeOverlaps are demonstrated
• Count files from HTSeq-Count, FeatureCounts, Salmon or Kallisto are used to identify differentially expressed genes

After the live session participants can analyze their own count files. Issues can be handled during the Q&A session.