Transparent, Reproducible, and Adaptable Data Analysis with Snakemake

Transparent, Reproducible, and Adaptable Data Analysis with Snakemake

Explore the power of Snakemake for reproducible data analysis in this 38-minute conference talk by Johannes Köster from Universität Duisburg-Essen. Discover how Snakemake goes beyond mere reproducibility to enable sustainable data analysis that supports transparent assessment of methods and results while remaining adaptable to new applications. Gain insights into complex scientific workflows at extreme computational scales, as presented at the Institute for Pure & Applied Mathematics (IPAM) workshop.