Bulk RNASeq: from counts to differential expression - online

Bulk RNASeq: from counts to differential expression - online



Start date:

11 June 2021




General context

The 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 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.

Required skills

Experience in basic R programming. If you never worked in R you should attend the Basic statistics in R ​training first.

Software demonstrated
  • Counting using Bioconductor: Rsubread - GenomicAlignments
  • Identification of DE using Bioconductor: DESeq2 + other packages like tximeta (script for EdgeR is provided but not demonstrated)
  • Visualization of results using R: ggplot2, pheatmap,
  • Mapping of IDs to Gene symbols using Bioconductor: AnnotationDbi 


Janick Mathys

VIB Bioinformatics Core training coordinator

Contact Janick Mathys :


live session on youtube

10h Q&A session on Discord