The UniProt-GO Annotation database in 2011

被引:334
作者
Dimmer, Emily C. [1 ]
Huntley, Rachael P. [1 ]
Alam-Faruque, Yasmin [1 ]
Sawford, Tony [1 ]
O'Donovan, Claire [1 ]
Martin, Maria J. [1 ]
Bely, Benoit [1 ]
Browne, Paul [1 ]
Chan, Wei Mun [1 ]
Eberhardt, Ruth [1 ]
Gardner, Michael [1 ]
Laiho, Kati [1 ]
Legge, Duncan [1 ]
Magrane, Michele [1 ]
Pichler, Klemens [1 ]
Poggioli, Diego [1 ]
Sehra, Harminder [1 ]
Auchincloss, Andrea [2 ]
Axelsen, Kristian [2 ]
Blatter, Marie-Claude [2 ]
Boutet, Emmanuel [2 ]
Braconi-Quintaje, Silvia [2 ]
Breuza, Lionel [2 ]
Bridge, Alan [2 ]
Coudert, Elizabeth [2 ]
Estreicher, Anne [2 ]
Famiglietti, Livia [2 ]
Ferro-Rojas, Serenella [2 ]
Feuermann, Marc [2 ]
Gos, Arnaud [2 ]
Gruaz-Gumowski, Nadine [2 ]
Hinz, Ursula [2 ]
Hulo, Chantal [2 ]
James, Janet [2 ]
Jimenez, Silvia [2 ]
Jungo, Florence [2 ]
Keller, Guillaume [2 ]
Lemercier, Phillippe [2 ]
Lieberherr, Damien [2 ]
Masson, Patrick [2 ]
Moinat, Madelaine [2 ]
Pedruzzi, Ivo [2 ]
Poux, Sylvain [2 ]
Rivoire, Catherine [2 ]
Roechert, Bernd [2 ]
Schneider, Michael [2 ]
Stutz, Andre [2 ]
Sundaram, Shyamala [2 ]
Tognolli, Michael [2 ]
Bougueleret, Lydie [2 ]
机构
[1] European Bioinformat Inst, Cambridge CB10 1SD, England
[2] CMU, Swiss Inst Bioinformat, Swiss Prot Grp, CH-1211 Geneva 4, Switzerland
[3] CMU, Swiss Inst Bioinformat, CALIPHO Grp, CH-1211 Geneva 4, Switzerland
[4] Quartier Sorge, Vital IT Grp, CH-1015 Lausanne, Switzerland
基金
美国国家卫生研究院;
关键词
D O I
10.1093/nar/gkr1048
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 GO annotation dataset provided by the UniProt Consortium (GOA: http://www.ebi.ac.uk/GOA) is a comprehensive set of evidenced-based associations between terms from the Gene Ontology resource and UniProtKB proteins. Currently supplying over 100 million annotations to 11 million proteins in more than 360 000 taxa, this resource has increased 2-fold over the last 2 years and has benefited from a wealth of checks to improve annotation correctness and consistency as well as now supplying a greater information content enabled by GO Consortium annotation format developments. Detailed, manual GO annotations obtained from the curation of peer-reviewed papers are directly contributed by all UniProt curators and supplemented with manual and electronic annotations from 36 model organism and domain-focused scientific resources. The inclusion of high-quality, automatic annotation predictions ensures the UniProt GO annotation dataset supplies functional information to a wide range of proteins, including those from poorly characterized, non-model organism species. UniProt GO annotations are freely available in a range of formats accessible by both file downloads and web-based views. In addition, the introduction of a new, normalized file format in 2010 has made for easier handling of the complete UniProt-GOA data set.
引用
收藏
页码:D565 / D570
页数:6
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