Reproducible data analysis
Date: 20 April - 24 June 2026
Language of instruction: English
The scientific method is historically linked to the possibility that other researchers can replicate and verify its results. As scientific analysis becomes more complex and interdisciplinary, ensuring reproducibility becomes more challenging, especially in fields that combine different expertise. To promote transparency, consistency, and robustness in science, journals, funders, and institutions encourage using tools and practices that enhance reproducibility. Learn about version control, containers, pipelines, and data reproducibility. This will steer you towards the reproducibility of your research and the impact and reliability of research findings and methods.
Keywords: advanced bioinformatics, HPC, Micro-credential, basic bioinformatics, hands-on, programming, research data management
Venue: Ghent - VIB/UGent FSVM II, Technologiepark 75
City: Zwijnaarde
Country: Belgium
Postcode: 9052
Learning objectives:
- “Develop and adapt container recipes for use both locally and on supercomputers considering system-specific requirements”
- “Differentiate between Docker and Apptainer images to select the appropriate tool for various computing environments”
- “Explain how containerization and version control contribute to reproducibility and shareability in computational research”
- “Run and modify Nextflow pipelines using best practices such as configuration files and modular components”
- “Use Git and GitHub for version control reproducible and easy-to-share code text documents and other appropriate data for this context”
Organizer: VIB
Event types:
- Workshops and courses
Sponsors: Ghent University, Vlaams Supercomputer Centrum
Instructors: Alexander Botzki,
Kobe Lavaerts,
Bart Mesuere,
Bruna Piereck,
Nicolas Vannieuwkerke
Activity log

Belgium