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"CGAT-core: a python framework for building scalable, reproducible ..."

Adam P. Cribbs et al. (2019)

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DOI: 10.12688/F1000RESEARCH.18674.1

access: open

type: Informal or Other Publication

metadata version: 2023-09-08

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  - journals/f1000research/CribbsLGSBSSIJSBSH19
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  - https://dblp.org/rec/journals/f1000research/CribbsLGSBSSIJSBSH19
Adam P. Cribbs, Sebastian Luna-Valero, Charlotte George, Ian M. Sudbery, Antonio J. Berlanga-Taylor, Stephen N. Sansom, Tom Smith, Nicholas E. Ilott, Jethro S. Johnson, Jakub Scaber, Katherine Brown, David Sims, Andreas Heger:
CGAT-core: a python framework for building scalable, reproducible computational biology workflows. F1000Research 8: 377 (2019)

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