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Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv

BACKGROUND: The automation of data analysis in the form of scientific workflows has become a widely adopted practice in many fields of research. Computationally driven data-intensive experiments using workflows enable automation, scaling, adaptation, and provenance support. However, there are still...

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書目詳細資料
發表在:Gigascience
Main Authors: Khan, Farah Zaib, Soiland-Reyes, Stian, Sinnott, Richard O, Lonie, Andrew, Goble, Carole, Crusoe, Michael R
格式: Artigo
語言:Inglês
出版: Oxford University Press 2019
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC6824458/
https://ncbi.nlm.nih.gov/pubmed/31675414
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gigascience/giz095
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