CyberinfraV1, PubMed, Checkpoint, bibRecord, 000087

Leveraging the national cyberinfrastructure for biomedical research.

Identifieur interne : 000087 ( PubMed/Checkpoint ); précédent : 000086; suivant : 000088

Leveraging the national cyberinfrastructure for biomedical research.

Auteurs : Richard Leduc [États-Unis] ; Matthew Vaughn ; John M. Fonner ; Michael Sullivan ; James G. Williams ; Philip D. Blood ; James Taylor ; William Barnett

Source :

Journal of the American Medical Informatics Association : JAMIA [ 1527-974X ]

RBID : pubmed:23964072

English descriptors

KwdEn :
- Biomedical Research (organization & administration), Computer Systems, Genomics, Information Dissemination (methods), Internet, Medical Informatics.
MESH :
- methods : Information Dissemination.
- organization & administration : Biomedical Research.
- Computer Systems, Genomics, Internet, Medical Informatics.

Abstract

In the USA, the national cyberinfrastructure refers to a system of research supercomputer and other IT facilities and the high speed networks that connect them. These resources have been heavily leveraged by scientists in disciplines such as high energy physics, astronomy, and climatology, but until recently they have been little used by biomedical researchers. We suggest that many of the 'Big Data' challenges facing the medical informatics community can be efficiently handled using national-scale cyberinfrastructure. Resources such as the Extreme Science and Discovery Environment, the Open Science Grid, and Internet2 provide economical and proven infrastructures for Big Data challenges, but these resources can be difficult to approach. Specialized web portals, support centers, and virtual organizations can be constructed on these resources to meet defined computational challenges, specifically for genomics. We provide examples of how this has been done in basic biology as an illustration for the biomedical informatics community.

DOI: 10.1136/amiajnl-2013-002059
PubMed: 23964072

Affiliations:

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Le document en format XML

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<author><name sortKey="Leduc, Richard" sort="Leduc, Richard" uniqKey="Leduc R" first="Richard" last="Leduc">Richard Leduc</name>
<affiliation wicri:level="2"><nlm:affiliation>National Center for Genome Analysis Support, Indiana University, Bloomington, Indiana, USA.</nlm:affiliation>
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<author><name sortKey="Vaughn, Matthew" sort="Vaughn, Matthew" uniqKey="Vaughn M" first="Matthew" last="Vaughn">Matthew Vaughn</name>
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<author><name sortKey="Fonner, John M" sort="Fonner, John M" uniqKey="Fonner J" first="John M" last="Fonner">John M. Fonner</name>
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<author><name sortKey="Sullivan, Michael" sort="Sullivan, Michael" uniqKey="Sullivan M" first="Michael" last="Sullivan">Michael Sullivan</name>
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<author><name sortKey="Williams, James G" sort="Williams, James G" uniqKey="Williams J" first="James G" last="Williams">James G. Williams</name>
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<author><name sortKey="Blood, Philip D" sort="Blood, Philip D" uniqKey="Blood P" first="Philip D" last="Blood">Philip D. Blood</name>
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<author><name sortKey="Taylor, James" sort="Taylor, James" uniqKey="Taylor J" first="James" last="Taylor">James Taylor</name>
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<front><div type="abstract" xml:lang="en">In the USA, the national cyberinfrastructure refers to a system of research supercomputer and other IT facilities and the high speed networks that connect them. These resources have been heavily leveraged by scientists in disciplines such as high energy physics, astronomy, and climatology, but until recently they have been little used by biomedical researchers. We suggest that many of the 'Big Data' challenges facing the medical informatics community can be efficiently handled using national-scale cyberinfrastructure. Resources such as the Extreme Science and Discovery Environment, the Open Science Grid, and Internet2 provide economical and proven infrastructures for Big Data challenges, but these resources can be difficult to approach. Specialized web portals, support centers, and virtual organizations can be constructed on these resources to meet defined computational challenges, specifically for genomics. We provide examples of how this has been done in basic biology as an illustration for the biomedical informatics community.</div>
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<ArticleTitle>Leveraging the national cyberinfrastructure for biomedical research.</ArticleTitle>
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<CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Genome Res. 2005 Oct;15(10):1451-5</RefSource>
<PMID Version="1">16169926</PMID>
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<CommentsCorrections RefType="Cites"><RefSource>Genome Biol. 2010;11(8):R86</RefSource>
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<CommentsCorrections RefType="Cites"><RefSource>Curr Protoc Mol Biol. 2010 Jan;Chapter 19:Unit 19.10.1-21</RefSource>
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Leveraging the national cyberinfrastructure for biomedical research.

Leveraging the national cyberinfrastructure for biomedical research.

Source :

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

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