Objectives
- Understand the key steps in RNASeq data analysis for a differential expression study
- Know how to perform command-line analysis using Snakemake.

Pedagogical Content
Day 1
- Principle of RNASeq technology: objectives and experimental design.
- Data quality assessment (FastQC, MultiQC).
- Sequence alignment to a reference genome (STAR).

Day 2
- Differential gene expression analysis (HTSeqCount, DESeq2).
- Functional annotation (GO, Kegg).
- Using the Snakemake workflow system.
- Comparison between RNASeq and 3’SRP methods.

The theoretical part is followed by a pipeline run step-by-step on a test dataset.
It will be possible to start an analysis on your own data.