About

The material available on these pages is produced and maintained for a course on how to make your data analyses reproducible. In particular, it covers:

• Data management
• Conda
• Snakemake
• Git
• Jupyter
• R Markdown
• Docker
• Singularity

Material

Slides from lectures covering the topics above are available on Google Drive

This documentation and all the resources used in the course are available as a GitHub repo.

A template directory and file structure consistent with the material described in the course is available as a GitHub repo.

The authors

Leif Wigge, Rasmus Ågren, John Sundh, Verena Kutschera, Erik Fasterius

SciLifeLab, National Bioinformatics Infrastructure Sweden (NBIS)

License

MIT (see LICENCE.txt in the GitHub repo).