Leveraging the national cyberinfrastructure for biomedical research.
Leveraging the national cyberinfrastructure for biomedical research.
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DOI：
10.1136/amiajnl-2013-002059
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发表时间：
2014-03
期刊：
影响因子：
--
通讯作者：
Barnett W
中科院分区：
文献类型：
--
作者：
LeDuc R;Vaughn M;Fonner JM;Sullivan M;Williams JG;Blood PD;Taylor J;Barnett W
在美国，国家网络基础设施是指由研究型超级计算机和其他 IT 设施以及连接它们的高速网络组成的系统。这些资源已被高能物理、天文学和气候学等学科的科学家大量利用，但直到最近，生物医学研究人员还很少使用它们。我们建议，医疗信息学界面临的许多“大数据”挑战可以使用国家规模的网络基础设施来有效应对。极限科学和发现环境、开放科学网格和 Internet2 等资源为应对大数据挑战提供了经济且经过验证的基础设施，但这些资源可能很难获取。可以在这些资源上构建专门的门户网站、支持中心和虚拟组织，以满足特定的计算挑战，特别是基因组学的挑战。我们提供了如何在基础生物学中实现这一点的示例，作为生物医学信息学界的例证。
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.
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影响因子：
5.6
作者：
Goff SA;Vaughn M;McKay S;Lyons E;Stapleton AE;Gessler D;Matasci N;Wang L;Hanlon M;Lenards A;Muir A;Merchant N;Lowry S;Mock S;Helmke M;Kubach A;Narro M;Hopkins N;Micklos D;Hilgert U;Gonzales M;Jordan C;Skidmore E;Dooley R;Cazes J;McLay R;Lu Z;Pasternak S;Koesterke L;Piel WH;Grene R;Noutsos C;Gendler K;Feng X;Tang C;Lent M;Kim SJ;Kvilekval K;Manjunath BS;Tannen V;Stamatakis A;Sanderson M;Welch SM;Cranston KA;Soltis P;Soltis D;O'Meara B;Ane C;Brutnell T;Kleibenstein DJ;White JW;Leebens-Mack J;Donoghue MJ;Spalding EP;Vision TJ;Myers CR;Lowenthal D;Enquist BJ;Boyle B;Akoglu A;Andrews G;Ram S;Ware D;Stein L;Stanzione D
通讯作者：
Stanzione D
影响因子：
7
作者：
Giardine, B;Riemer, C;Nekrutenko, A
通讯作者：
Nekrutenko, A
Galaxy：一种基于Web的基因组分析工具。
影响因子：
--
作者：
Blankenberg, Daniel;Von Kuster, Gregory;Coraor, Nathaniel;Ananda, Guruprasad;Lazarus, Ross;Mangan, Mary;Nekrutenko, Anton;Taylor, James
通讯作者：
Taylor, James
影响因子：
12.3
作者：
Goecks J;Nekrutenko A;Taylor J;Galaxy Team
通讯作者：
Galaxy Team