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

Source code

The source code for this documentation and all resources used in the course are available as a GitHub repo.

Lectures

Links to slides from lectures covering the topics above are available in HTML format here. The source code used to create the lectures is available under the lecture/ directory.

Project template

A template directory and file structure consistent with the material described in the course is available as a GitHub repo that you can use to initialize a new project.

The authors

Leif Wigge, Rasmus Ă…gren, John Sundh, Verena Kutschera, Erik Fasterius, Tomas Larsson

SciLifeLab, National Bioinformatics Infrastructure Sweden (NBIS)

License

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