The Gene Ontology (GO) project in 2006

被引:843
作者
Harris, Midori A. [1 ]
Clark, Jennifer I. [1 ]
Ireland, Amelia [1 ]
Lomax, Jane [1 ]
Ashburner, Michael [1 ]
Collins, Russell [1 ]
Eilbeck, Karen [1 ]
Lewis, Suzanna [1 ]
Mungall, Chris [1 ]
Richter, John [1 ]
Rubin, Gerald M. [1 ]
Shu, ShengQiang [1 ]
Blake, Judith A. [1 ]
Bult, Carol J. [1 ]
Diehl, Alexander D. [1 ]
Dolan, Mary E. [1 ]
Drabkin, Harold J. [1 ]
Eppig, Janan T. [1 ]
Hill, David P. [1 ]
Ni, Li [1 ]
Ringwald, Martin [1 ]
Balakrishnan, Rama [1 ]
Binkley, Gail [1 ]
Cherry, J. Michael [1 ]
Christie, Karen R. [1 ]
Costanzo, Maria C. [1 ]
Dong, Qing [1 ]
Engel, Stacia R. [1 ]
Fisk, Dianna G. [1 ]
Hirschman, Jodi E. [1 ]
Hitz, Benjamin C. [1 ]
Hong, Eurie L. [1 ]
Lane, Christopher [1 ]
Miyasato, Stuart [1 ]
Nash, Robert [1 ]
Sethuraman, Anand [1 ]
Skrzypek, Marek [1 ]
Theesfeld, Chandra L. [1 ]
Weng, Shuai [1 ]
Botstein, David [1 ]
Dolinski, Kara [1 ]
Oughtred, Rose [1 ]
Berardini, Tanya [1 ]
Mundodi, Suparna [1 ]
Rhee, Seung Y. [1 ]
Apweiler, Rolf [1 ]
Barrell, Daniel [1 ]
Camon, Evelyn [1 ]
Dimmer, Emily [1 ]
Mulder, Nicola [1 ]
机构
[1] EMBL EBI, GO EBI, Hinxton CB10 1SD, Cambs, England
关键词
D O I
10.1093/nar/gkj021
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The Gene Ontology (GO) project (http://www.geneontology.org) develops and uses a set of structured, controlled vocabularies for community use in annotating genes, gene products and sequences (also see http://song.sourceforge.net/). The GO Consortium continues to improve to the vocabulary content, reflecting the impact of several novel mechanisms of incorporating community input. A growing number of model organism databases and genome annotation groups contribute annotation sets using GO terms to GO's public repository. Updates to the AmiGO browser have improved access to contributed genome annotations. As the GO project continues to grow, the use of the GO vocabularies is becoming more varied as well as more widespread. The GO project provides an ontological annotation system that enables biologists to infer knowledge from large amounts of data.
引用
收藏
页码:D322 / D326
页数:5
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