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

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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bbd585a540ab405f95b6070a1bbedc3f

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

About this item

Full title

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

Publisher

London: Faculty of 1000 Ltd

Journal title

F1000 research, 2021, Vol.10, p.33-33

Language

English

Formats

Publication information

Publisher

London: Faculty of 1000 Ltd

More information

Scope and Contents

Contents

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. Reproducibility enables technical validation and...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_bbd585a540ab405f95b6070a1bbedc3f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bbd585a540ab405f95b6070a1bbedc3f

Other Identifiers

ISSN

2046-1402

E-ISSN

2046-1402

DOI

10.12688/f1000research.29032.2

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