Common Workflow Language
The Common Workflow Language (CWL) is a specification [1] for describing computational data-analysis workflows. Development of CWL is focussed particularly on serving the data-intensive sciences, such as Bioinformatics, [2] Medical Imaging, Astronomy, Physics, and Chemistry. A key goal of the CWL is to allow the creation of a workflow that is portable and thus may be run reproducibly in different computational environments.
The CWL originated from discussions in 2014 between Peter Amstutz, John Chilton, Nebojsa Tijanic, and Michael Crusoe (of Galaxy, Arvados, and Seven Bridges) at the Open Bioinformatics Foundation BOSC 2014 codefest.
CWL is supported by multiple analysis environments such as Galaxy, Toil, Arvados, Rabix, and Apache Taverna and was identified in 2017 as one of the future trends for bioinformatics pipeline development. [2]
Availability
CWL is developed by an informal, multi-vendor working group consisting of both organizations and individuals and is freely available via its GitHub repository under a permissive Apache License 2.0.
References
- ^ Peter, Amstutz,; R., Crusoe, Michael; Nebojša, Tijanić,; Brad, Chapman,; John, Chilton,; Michael, Heuer,; Andrey, Kartashov,; Dan, Leehr,; Hervé, Ménager, (2016-07-08). "Common Workflow Language, v1.0". figshare. doi:10.6084/m9.figshare.3115156.v2.
{{cite journal}}: CS1 maint: extra punctuation (link) CS1 maint: multiple names: authors list (link) - ^ a b Leipzig, Jeremy (2017-05-01). "A review of bioinformatic pipeline frameworks". Briefings in Bioinformatics. 18 (3): 530–536. doi:10.1093/bib/bbw020. ISSN 1467-5463.