Transparent, Reproducible, and Adaptable Data Analysis with Snakemake

This course aims to teach learners how to conduct transparent, reproducible, and adaptable data analysis using Snakemake. The course focuses on going beyond mere reproducibility to enable sustainable data analysis that supports transparent assessment of methods and results, as well as adaptability for new applications. The teaching method involves a presentation by Johannes Köster, providing insights and practical guidance on utilizing Snakemake for data analysis. This course is intended for individuals interested in enhancing the reproducibility and sustainability of their data analysis workflows.