CGAT-core: a python framework for building scalable, reproducible computational biology workflows

Cribbs, A.P., Luna-Valero, S., George, C. et al. (10 more authors) (Submitted: 2019) CGAT-core: a python framework for building scalable, reproducible computational biology workflows. F1000Research. ISSN 2046-1402 (Submitted)

Abstract

Metadata

Authors/Creators:
  • Cribbs, A.P.
  • Luna-Valero, S.
  • George, C.
  • Sudbery, I.M. https://orcid.org/0000-0002-5038-0190
  • Berlanga-Taylor, A.J.
  • Sansom, S.N.
  • Smith, T.
  • Ilott, N.E.
  • Johnson, J.
  • Scaber, J.
  • Brown, K.
  • Sims, D.
  • Heger, A.
Copyright, Publisher and Additional Information: © 2019 Cribbs AP et al. This is an open access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: workflow; pipeline; python; genomics
Dates:
  • Submitted: 4 April 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Biological Sciences (Sheffield) > Department of Molecular Biology and Biotechnology (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 15 Apr 2019 14:52
Last Modified: 15 Apr 2019 14:52
Status: Submitted
Publisher: F1000Research
Identification Number: https://doi.org/10.12688/f1000research.18674.1

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