As data analysis projects grow and change over time, it gets increasingly difficult to keep track of how the different parts of the data analysis fit together. Workflow management systems such as Snakemake can be used to set up, perform and monitor defined sequences of computational tasks (“workflows”), thereby making data analyses reproducible and scalable. Snakemake was developed in the bioinformatics community and has some features that make it particularly well suited for bioinformatics workflows.

The NBIS Tools for reproducible research course is held twice a year and provides an introduction into Snakemake and a tutorial to learn how to use Snakemake.

This Snakemake BYOC (bring-your-own-code) workshop provides a follow-up to that introduction. Here, participants will get support from experienced bioinformaticians to A) convert their data analysis from a programming language such as bash, R or python into a Snakemake workflow, or B) apply more advanced techniques to their existing Snakemake workflows.