The Functional Genomics Experiment model (FuGE): an extensible framework for standards in functional genomics

被引:64
作者
Jones, Andrew R.
Miller, Michael
Aebersold, Ruedi
Apweiler, Rolf
Ball, Catherine A.
Brazma, Alvis
DeGreef, James
Hardy, Nigel
Hermjakob, Henning
Hubbard, Simon J.
Hussey, Peter
Igra, Mark
Jenkins, Helen
Julian, Randall K., Jr.
Laursen, Kent
Oliver, Stephen G.
Paton, Norman W.
Sansone, Susanna-Assunta
Sarkans, Ugis
Stoeckert, Christian J., Jr.
Taylor, Chris F.
Whetzel, Patricia L.
White, Joseph A.
Spellman, Paul
Pizarro, Angel
机构
[1] Univ Penn, Inst Translat Med & Therapeut, Philadelphia, PA 19104 USA
[2] Univ Manchester, Sch Comp Sci, Manchester M13 9PL, Lancs, England
[3] Univ Manchester, Fac Life Sci, Manchester M13 9PL, Lancs, England
[4] Rosetta Biosoftware, Seattle, WA 98109 USA
[5] Inst Mol Syst Biol, HPT E 78, CH-8093 Zurich, Switzerland
[6] Univ Zurich, Fac Sci, CH-8006 Zurich, Switzerland
[7] Swiss Fed Inst Technol, Ctr Syst Physiol & Metab Dis, Zurich, Switzerland
[8] Inst Syst Biol, Seattle, WA 98103 USA
[9] European Bioinformat Inst, Cambridge CB10 1SD, England
[10] Stanford Univ, Sch Med, Dept Biochem, CCSR, Stanford, CA 94305 USA
[11] GenoLog Life Sci Software, Victoria, BC V8Z 7X8, Canada
[12] Aberystwyth Univ, Dept Comp Sci, Aberystwyth SY23 3DB, Dyfed, Wales
[13] LabKey Software, Seattle, WA 98103 USA
[14] Indigo BioSyst Inc, Carmel, IN 46032 USA
[15] Univ Penn, Ctr Bioinformat, Dept Genet, Philadelphia, PA 19104 USA
[16] Dana Farber Canc Inst, Boston, MA 02115 USA
[17] Univ Calif Berkeley, Lawrence Berkeley Lab, Berkeley, CA 94720 USA
基金
英国生物技术与生命科学研究理事会;
关键词
D O I
10.1038/nbt1347
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The Functional Genomics Experiment data model (FuGE) has been developed to facilitate convergence of data standards for high-throughput, comprehensive analyses in biology. FuGE models the components of an experimental activity that are common across different technologies, including protocols, samples and data. FuGE provides a foundation for describing entire laboratory workflows and for the development of new data formats. The Microarray Gene Expression Data society and the Proteomics Standards Initiative have committed to using FuGE as the basis for defining their respective standards, and other standards groups, including the Metabolomics Standards Initiative, are evaluating FuGE in their development efforts. Adoption of FuGE by multiple standards bodies will enable uniform reporting of common parts of functional genomics workflows, simplify data-integration efforts and ease the burden on researchers seeking to fulfill multiple minimum reporting requirements. Such advances are important for transparent data management and mining in functional genomics and systems biology.
引用
收藏
页码:1127 / 1133
页数:7
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