The Numerical Analysis Council (CAN) of SFR BioSciences is organising a practical training course on differential expression analysis using bulk RNA-seq data.
The goal: master every step of the analysis process, from raw sequencing files to result interpretation, with no technical prerequisites.
This training is especially suited to participants who already have an RNA-seq dataset at hand, whether from public sources (e.g. published articles) or generated as part of their own research projects.
Key information
- Dates: Tuesday and Thursday afternoons (1:30–5:00 pm), from 24 February to 31 March 2026 (10 sessions),
- Location: training room at the ENS Monod site (subject to availability),
- Language: training in French, materials in English,
- Target audience: priority given to participants who already have an RNA-seq dataset or plan to generate one in the near future,
- Format: free, limited to 15 participants, with a strong focus on hands-on practice (including 2 sessions dedicated to analysing your own data).
Registration
- Deadline: 30 January 2026 — registration form,
- Commitment: selected participants are expected to attend all sessions,
- Selection: notification by the week of 2 February.
Programme
Part 1 — Raw data processing
- Bash basics for RNA-seq data preprocessing,
- Quality control of raw sequencing reads,
- Cleaning and filtering low-quality reads,
- Alignment/mapping of reads to the reference transcriptome,
- Generation of count tables (per gene or transcript).
Part 2 — Statistical analysis with DESeq2
- Differential expression analysis,
- R basics for DESeq2 usage and plotting,
- Exploration and visualisation of statistical results,
- Functional enrichment analysis.
For any questions, feel free to contact Carine Rey.