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
Material
Slides from lectures covering the topics above are available on Figshare as pptx or pdf. If you're looking for slides/tutorials from a particular instance of the course, select the appropriate version tag in the popup panel at the bottom right. Go to Schedule for individual lectures.
This documentation and all the resources used in the course are available as a Bitbucket 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 and Rasmus Ă…gren
SciLifeLab, National Bioinformatics Infrastructure Sweden (NBIS), Bioinformatics Long-term Support
License
MIT (see LICENCE.txt
in the Bitbucket repo).