Dear all,
registrations are now open for the Physalia online course: RNA-seq Data Analysis for Beginners
Dates: 10–19 February 2026
Course website: https://www.physalia-courses.org/cou...q-4-beginners/
This seven-day, hands-on course takes you from raw FASTQ files to publication-ready figures and pathway analyses — no programming experience required.
Designed for wet-lab biologists new to bioinformatics, the course provides:
By the end of the course, you’ll learn to:
Best regards,
Carlo
--------------------
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
[email protected]
registrations are now open for the Physalia online course: RNA-seq Data Analysis for Beginners
Dates: 10–19 February 2026
Course website: https://www.physalia-courses.org/cou...q-4-beginners/
This seven-day, hands-on course takes you from raw FASTQ files to publication-ready figures and pathway analyses — no programming experience required.
Designed for wet-lab biologists new to bioinformatics, the course provides:
- 60% hands-on practice, 40% concise concept teaching
- Cloud-based environment (no installation needed)
- Reproducible, publication-quality results
- Live support and active Q&A
By the end of the course, you’ll learn to:
- Set up reproducible RNA-seq analysis environments
- Process raw data into gene counts
- Perform QC, normalization, and differential expression (DESeq2, edgeR, limma-voom)
- Create publication-ready figures (PCA, heatmaps, volcano plots)
- Run functional enrichment (GO, KEGG, GSEA)
- Handle batch effects and prepare GEO submissions
Best regards,
Carlo
--------------------
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
[email protected]