Scalability and cost-effectiveness analysis of whole genome-wide association studies on Google Cloud Platform and Amazon Web Services

Krissaane, I., De Niz, C., Gutiérrez-Sacristán, A. et al. (8 more authors) (2020) Scalability and cost-effectiveness analysis of whole genome-wide association studies on Google Cloud Platform and Amazon Web Services. Journal of the American Medical Informatics Association. ISSN 1067-5027

Abstract

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Authors/Creators:
  • Krissaane, I.
  • De Niz, C.
  • Gutiérrez-Sacristán, A.
  • Korodi, G.
  • Ede, N.
  • Kumar, R.
  • Lyons, J.
  • Manrai, A.
  • Patel, C.
  • Kohane, I.
  • Avillach, P.
Copyright, Publisher and Additional Information: © 2020 The Author(s). Published by Oxford University Press on behalf of the American Medical Informatics Association. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: whole genome; genome-wide association study; cloud computing; distributed systems
Dates:
  • Accepted: 17 April 2020
  • Published (online): 27 July 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 07 Aug 2020 06:39
Last Modified: 07 Aug 2020 06:39
Status: Published online
Publisher: Oxford University Press (OUP)
Refereed: Yes
Identification Number: https://doi.org/10.1093/jamia/ocaa068
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