The iPlant Collaborative: Cyberinfrastructure for Enabling Data to Discovery for the Life Sciences.
Identifieur interne : 000004 ( PubMed/Corpus ); précédent : 000003; suivant : 000005The iPlant Collaborative: Cyberinfrastructure for Enabling Data to Discovery for the Life Sciences.
Auteurs : Nirav Merchant ; Eric Lyons ; Stephen Goff ; Matthew Vaughn ; Doreen Ware ; David Micklos ; Parker AntinSource :
- PLoS biology [ 1545-7885 ] ; 2016.
English descriptors
- KwdEn :
- MESH :
- organization & administration : Computational Biology.
- Internet, Software.
Abstract
The iPlant Collaborative provides life science research communities access to comprehensive, scalable, and cohesive computational infrastructure for data management; identity management; collaboration tools; and cloud, high-performance, high-throughput computing. iPlant provides training, learning material, and best practice resources to help all researchers make the best use of their data, expand their computational skill set, and effectively manage their data and computation when working as distributed teams. iPlant's platform permits researchers to easily deposit and share their data and deploy new computational tools and analysis workflows, allowing the broader community to easily use and reuse those data and computational analyses.
DOI: 10.1371/journal.pbio.1002342
PubMed: 26752627
Links to Exploration step
pubmed:26752627Le document en format XML
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<front><div type="abstract" xml:lang="en">The iPlant Collaborative provides life science research communities access to comprehensive, scalable, and cohesive computational infrastructure for data management; identity management; collaboration tools; and cloud, high-performance, high-throughput computing. iPlant provides training, learning material, and best practice resources to help all researchers make the best use of their data, expand their computational skill set, and effectively manage their data and computation when working as distributed teams. iPlant's platform permits researchers to easily deposit and share their data and deploy new computational tools and analysis workflows, allowing the broader community to easily use and reuse those data and computational analyses.</div>
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