Bulk RNA-seq analysis
Date: 7 - 19 May 2026
Duration: P1DT20H
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, you will learn how to process count files, apply statistical methods in R, and troubleshoot common issues. By the end of the training, you will be equipped to identify differentially expressed genes and confidently analyze your own datasets using widely adopted tools and workflows. The course blends short lectures with hands-on exercises using Galaxy to process raw reads into count files and R to identify differentially expressed genes. Both single-end and paired-end example datasets are provided. Participants complete a homework assignment on either example or personal data, with results and questions reviewed during the final session.
Keywords: omics
Venue: Leuven - Campus Gasthuisberg, Herestraat 49
City: Leuven
Country: Belgium
Postcode: 3000
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 (https://ror.org/03xrhmk39)
Event types:
- Workshops and courses
Instructors: Janick Mathys
Activity log
