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 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:	Journal Article
Language:	English
Published:	England Faculty of 1000 Ltd 2021 F1000 Research Limited F1000 Research Ltd
Subjects:	Adaptability Automation Data Analysis Data processing Method Programming languages Quality control Reproducibility Reproducibility of Results Software Sustainability Workflow Workflow software data analysis reproducibility transparency workflow management adaptability sustainability scalability
ISSN:	2046-1402, 2046-1402
Online Access:	Get full text
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