期刊
PROCEEDINGS 2018 IEEE 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD)
卷 -, 期 -, 页码 871-874出版社
IEEE
DOI: 10.1109/CLOUD.2018.00124
关键词
cloud bursting; data federation; service computing
资金
- NIH [HG006620, HG005133, HG004909, HG005542]
- NSF [DBI 0543285, 0850103, 1661497]
- Australian National Data Service grant [eRIC07]
- Div Of Biological Infrastructure
- Direct For Biological Sciences [1661497] Funding Source: National Science Foundation
Biomedical data exploration requires integrative analyses of large datasets using a diverse ecosystem of tools. For more than a decade, the Galaxy project (https://galaxyproject.org) has provided researchers with a web-based, user-friendly, scalable data analysis framework complemented by a rich ecosystem of tools (https://usegalaxy.org/toolshed) used to perform genomic, proteomic, metabolomic, and imaging experiments. Galaxy can be deployed on the cloud (https://launch.usegalaxy.org), institutional computing clusters, and personal computers, or readily used on a number of public servers (e.g., https://usegalaxy.org). In this paper, we present our plan and progress towards creating Galaxy-as-a-Service-a federation of distributed data and computing resources into a panoptic analysis platform. Users can leverage a pool of public and institutional resources, in addition to plugging-in their private resources, helping answer the challenge of resource divergence across various Galaxy instances and enabling seamless analysis of biomedical data.
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