Selected approaches and frameworks to carry out genomic data provision and analysis on the cloud
Version 2 2024-06-04, 07:04Version 2 2024-06-04, 07:04
Version 1 2015-03-30, 17:14Version 1 2015-03-30, 17:14
journal contribution
posted on 2024-06-04, 07:04 authored by PC Church, Andrzej GoscinskiAndrzej Goscinski© 2015 SCPE. While High Performance Computing clouds allow researchers to process large amounts of genomic data, complex resource and software configuration tasks must be carried out beforehand. The current trend exposes applications and data as services, simplifying access to clouds. This paper examines commonly used cloud-based genomic analysis services, introduces the approach of exposing data as services and proposes two new solutions (HPCaaS and Uncinus) which aim to automate service development, deployment process and data provision. By comparing and contrasting these solutions, we identify key mechanisms of service creation, execution and data access required to support non-computing specialists employing clouds.
History
Journal
Scalable computingVolume
16Pagination
19-35Location
Timisoara, RomaniaPublisher DOI
Open access
- Yes
ISSN
1895-1767Language
engPublication classification
C Journal article, C1 Refereed article in a scholarly journalCopyright notice
2015, West University of TimisoaraIssue
1Publisher
West University of TimisoaraUsage metrics
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