Date: 9 - 19 March 2026

Language of instruction: English

Understanding differential gene expression is essential for interpreting RNA sequencing data in modern life sciences. This introductory course is designed for researchers who work with bulk RNASeq data and need to move from raw counts to meaningful biological insights. Through hands-on sessions, participants will learn how to process count files, apply statistical methods in R, and troubleshoot common issues. By the end of the training, attendees will be equipped to identify differentially expressed genes and confidently analyze their own datasets using widely adopted tools and workflows.

Keywords: omics

Learning objectives:

  • “Explain the principles of bulk RNASeq data processing and differential expression analysis”
  • “Identify appropriate tools for generating count files starting from FASTQ files”
  • “Interpret output tables and plots to draw biologically meaningful conclusions from differential expression results”
  • “Perform differential expression analysis in R using count data from different quantification tools”
  • “Troubleshoot common issues encountered during RNASeq data analysis workflows”

Organizer: VIB

Event types:

  • Workshops and courses


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