Snakemake—a scalable bioinformatics workflow engine

Snakemake is a workflow engine that provides a readable Python-based workflow definition language and a powerful execution environment that scales from single-core workstations to compute clusters without modifying the workflow. It is the first system to support the use of automatically inferred mul...

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Veröffentlicht in:	Bioinformatics (Oxford, England) Jg. 28; H. 19; S. 2520 - 2522
Hauptverfasser:	Köster, Johannes, Rahmann, Sven
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Oxford University Press 01.10.2012
Schlagworte:	Biological and medical sciences Computational Biology - methods Electronic Data Processing Fundamental and applied biological sciences. Psychology General aspects Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Programming Languages Software Workflow Scalability Workflow Bioinformatics
ISSN:	1367-4803, 1367-4811, 1367-4811
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	Snakemake is a workflow engine that provides a readable Python-based workflow definition language and a powerful execution environment that scales from single-core workstations to compute clusters without modifying the workflow. It is the first system to support the use of automatically inferred multiple named wildcards (or variables) in input and output filenames. Availability: http://snakemake.googlecode.com. Contact: johannes.koester@uni-due.de
Bibliographie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1367-4803 1367-4811 1367-4811
DOI:	10.1093/bioinformatics/bts480