Reproducible Research in Bioinformatics and Computational Biology

SLUBI, together with the GS-VMAS Graduate School and MedBioInfo, is running a new course on reproducible and scalable bioinformatics. The course teaches good working habits for data analysis and the practical tools that support them: version control with Git, reproducible environments with Pixi, containers with Apptainer, and workflow pipelines with Nextflow and nf-core. The aim is that participants can run their analyses reliably on any system, from a laptop to a high-performance cluster, and apply the same principles to their own research data.

The course is aimed at researchers moving into data-heavy work, including those coming from field or wet-lab backgrounds.

NoteCourse at a glance

• Dates: 31 August – 18 September 2026 (three weeks)
• Credits: 4.5 hp
• Format: an online introductory module, a project assignment week, and an on-location advanced module in Ultuna
• Partners: SLUBI, GS-VMAS Graduate School, and MedBioInfo
• Course website for the advanced module: amrei-bp.github.io/Reproducible_Research