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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	F1000 research Ročník 10; s. 33
Hlavní autori:	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
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Faculty of 1000 Ltd 2021 F1000 Research Limited F1000 Research Ltd
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!