The UniProt-GO Annotation database in 2011.
The UniProt-GO Annotation database in 2011.
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DOI：
10.1093/nar/gkr1048
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发表时间：
2012-01
影响因子：
14.9
通讯作者：
Apweiler R
中科院分区：
文献类型：
--
作者：
Dimmer EC;Huntley RP;Alam-Faruque Y;Sawford T;O'Donovan C;Martin MJ;Bely B;Browne P;Mun Chan W;Eberhardt R;Gardner M;Laiho K;Legge D;Magrane M;Pichler K;Poggioli D;Sehra H;Auchincloss A;Axelsen K;Blatter MC;Boutet E;Braconi-Quintaje S;Breuza L;Bridge A;Coudert E;Estreicher A;Famiglietti L;Ferro-Rojas S;Feuermann M;Gos A;Gruaz-Gumowski N;Hinz U;Hulo C;James J;Jimenez S;Jungo F;Keller G;Lemercier P;Lieberherr D;Masson P;Moinat M;Pedruzzi I;Poux S;Rivoire C;Roechert B;Schneider M;Stutz A;Sundaram S;Tognolli M;Bougueleret L;Argoud-Puy G;Cusin I;Duek-Roggli P;Xenarios I;Apweiler R
由UniProt Consortium（果阿：http：//www.ebi.ac.uk/果阿）提供的GO注释数据集是来自Gene Ontology资源的术语与UniProtKB蛋白质之间基于证据的关联的综合集合。目前为超过36万个分类群中的1100万种蛋白质提供超过1亿个注释，该资源在过去2年中增加了2倍，并受益于大量的检查，以提高注释的正确性和一致性，以及现在通过GO联盟注释格式的开发提供更多的信息内容。从同行评审论文的策展中获得的详细的手动GO注释由所有UniProt策展人直接贡献，并补充了来自36个模式生物和领域重点科学资源的手动和电子注释。包含高质量的自动注释预测，确保UniProt GO注释数据集为广泛的蛋白质提供功能信息，包括那些来自表征不佳的非模式生物物种的蛋白质。UniProt GO注释以一系列格式免费提供，可通过文件下载和基于Web的视图访问。此外，2010年采用了新的标准化文件格式，使UniProt-GOA完整数据集的处理更加容易。
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.
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基因本体论：2011年的增强。
影响因子：
14.9
作者：
Gene Ontology Consortium
通讯作者：
Gene Ontology Consortium
影响因子：
5.3
作者：
Lovering, Ruth C.;Dimmer, Emily C.;Talmud, Philippa J.
通讯作者：
Talmud, Philippa J.
影响因子：
14.9
作者：
Davidsen T;Beck E;Ganapathy A;Montgomery R;Zafar N;Yang Q;Madupu R;Goetz P;Galinsky K;White O;Sutton G
通讯作者：
Sutton G
影响因子：
7
作者：
Vilella, Albert J.;Severin, Jessica;Birney, Ewan
通讯作者：
Birney, Ewan
影响因子：
3
作者：
Deegan (nee Clark), Jennifer I.;Dimmer, Emily C.;Mungall, Christopher J.
通讯作者：
Mungall, Christopher J.