Sustainable data analysis with Snakemake [version 2; 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:F1000 research 2021, Vol.10, p.33
Main Authors: Mölder, Felix, Jablonski, Kim Philipp, Letcher, Brice, Hall, Michael B, Tomkins-Tinch, Christopher H, Sochat, Vanessa, Forster, Jan, Lee, Soohyun, Twardziok, Sven O, Kanitz, Alexander, Wilm, Andreas, Holtgrewe, Manuel, Rahmann, Sven, Nahnsen, Sven, Köster, Johannes
Format: Article
Language:English
Subjects:
Adaptability
Automation
Data analysis
Data processing
Programming languages
Quality control
Reproducibility
Sustainability
Workflow software
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