Sustainable data analysis with Snakemake [version 3; peer review: 2 approved]

Data analysis often entails a multitude of heterogeneous steps, from the application of various command line tools to the usage of scripting languages like R or Python for the generation of plots and tables. It is widely recognized that data analyses should ideally be conducted in a reproducible way...

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Bibliographic Details

Published in:	F1000Research
Main Authors:	Kim Philipp Jablonski, Brice Letcher, Felix Mölder, Vanessa Sochat, Jan Forster, Manuel Holtgrewe, Michael B. Hall, Christopher H. Tomkins-Tinch, Alexander Kanitz, Andreas Wilm, Soohyun Lee, Sven O. Twardziok, Johannes Köster, Filipe G. Vieira, Sven Rahmann, Christian Meesters, Sven Nahnsen, Jake VanCampen, Venkat Malladi, Peter C. van Dyken
Format:	Article
Language:	English
Published:	F1000 Research Ltd 2025-09-01
Subjects:	data analysis workflow management sustainability reproducibility transparency adaptability eng
Online Access:	https://f1000research.com/articles/10-33/v3