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Bringing numerous methods for expression and promoter analysis to a public cloud computing service

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Polański, Krzysztof , Gao, Bo, Mason, Sam, Brown, Paul E., Ott, Sascha, Denby, Katherine J. and Wild, David L. (2018) Bringing numerous methods for expression and promoter analysis to a public cloud computing service. Bioinformatics, 34 (5). pp. 884-886. doi:10.1093/bioinformatics/btx692 ISSN 1367-4803.

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Official URL: https://doi.org/10.1093/bioinformatics/btx692

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Abstract

Every year, a large number of novel algorithms are introduced to the scientific community for a myriad of applications, but using these across different research groups is often troublesome, due to suboptimal implementations and specific dependency requirements. This does not have to be the case, as public cloud computing services can easily house tractable implementations within self-contained dependency environments, making the methods easily accessible to a wider public. We have taken 14 popular methods, the majority related to expression data or promoter analysis, developed these up to a good implementation standard and housed the tools in isolated Docker containers which we integrated into the CyVerse Discovery Environment, making these easily usable for a wide community as part of the CyVerse UK project.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- )
Faculty of Science, Engineering and Medicine > Science > Mathematics
Faculty of Science, Engineering and Medicine > Science > Statistics
Faculty of Science, Engineering and Medicine > Research Centres > Warwick Systems Biology Centre
Library of Congress Subject Headings (LCSH): Cloud computing -- Security measures, Nanoelectronics -- Statistical methods, Integrated circuits -- Computer-aided design, Algorithms
Journal or Publication Title: Bioinformatics
Publisher: Oxford University Press
ISSN: 1367-4803
Official Date: 1 March 2018
Dates:
DateEvent
1 March 2018Published
6 November 2017Available
3 November 2017Accepted
Volume: 34
Number: 5
Page Range: pp. 884-886
DOI: 10.1093/bioinformatics/btx692
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 30 October 2017
Date of first compliant Open Access: 19 January 2018
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
BB/M018431/1Biotechnology and Biological Sciences Research Councilhttp://dx.doi.org/10.13039/501100000268

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