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Scalable Pathogen Pipeline Platform (SP^3): enabling unified genomic data analysis with elastic cloud computing

Abstract:

Pathogen genomic data analysis can be extremely bespoke and diverse. This paper presents our plan and progress towards creating a Scalable Pathogen Pipeline Platform (SP3) providing an efficient and unified process of collecting, analysing and comparing genomic data analysis with the benefit of elastic cloud computing. SP3 enables container-centric bioinformatic workflows run on personal computers, High-performance computing (HPC) clusters and cloud platforms. We have deployed and tested SP3 ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/cloud.2019.00083

Authors


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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDM
Sub department:
NDM Experimental Medicine
Role:
Author
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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
NDM Experimental Medicine
Role:
Author
ORCID:
0000-0003-0912-4483
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDM
Sub department:
Doctoral Training Centre - MPLS
Role:
Author
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Name:
National Institute for Health Research
Grant:
NF-SI-0513-10110
Publisher:
IEEE Digital Library
Host title:
Proceedings of the 2019 IEEE 12th International Conference on Cloud Computing (CLOUD)
Journal:
Proceedings of the 2019 IEEE 12th International Conference on Cloud Computing (CLOUD) More from this journal
Volume:
2019-July
Pages:
478-480
Publication date:
2019-07-01
Acceptance date:
2019-07-01
DOI:
EISSN:
2159-6190
ISSN:
2159-6182
ISBN:
9781728127057
Pubs id:
pubs:1052502
UUID:
uuid:d581fd3c-d772-4556-a281-aa91f70942cb
Local pid:
pubs:1052502
Source identifiers:
1052502
Deposit date:
2019-11-07

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