Open AccessThe UniProt-GO Annotation database in 2011
Author(s) -
Emily Dimmer,
Rachael P. Huntley,
Yasmin Alam-Faruque,
Tony Sawford,
Claire O’Donovan,
Maria Jesus Martin,
Benoît Bely,
P. Browne,
Wei Mun Chan,
Ruth Y Eberhardt,
Michael Gardner,
Kati Laiho,
Duncan Legge,
Michele Magrane,
Klemens Pichler,
Diego Poggioli,
Harminder Sehra,
Andrea Auchincloss,
Kristian Axelsen,
Marie-Claude Blatter,
Emmanuel Boutet,
Silvia Braconi-Quintaje,
Lionel Breuza,
Alan Bridge,
Elisabeth Coudert,
Anne Estreicher,
Livia Famiglietti,
Serenella Ferro-Rojas,
Marc Feuermann,
Arnaud Gos,
Nadine Gruaz-Gumowski,
Ursula Hinz,
Chantal Hulo,
Joachim James,
Silvia Jiménez,
Florence Jungo,
Guillaume Keller,
P Lemercier,
Damien Lieberherr,
Patrick Masson,
M. Moinat,
Ivo Pedruzzi,
Sylvain Poux,
Catherine Rivoire,
Bernd Roechert,
Michel Schneider,
André Stutz,
Shyamala Sundaram,
Michael Tognolli,
Lydie Bougueleret,
Ghislaine Argoud-Puy,
Isabelle Cusin,
Paula Duek Roggli,
Ioannis Xenarios,
Rolf Apweiler
Publication year - 2011
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkr1048
Subject(s) - uniprot , annotation , computer science , data curation , biology , world wide web , workflow , resource (disambiguation) , consistency (knowledge bases) , information retrieval , computational biology , database , bioinformatics , gene , genetics , artificial intelligence , computer network
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.