The UniProt-GO Annotation database in 2011 - PubMed (original) (raw)
. 2012 Jan;40(Database issue):D565-70.
doi: 10.1093/nar/gkr1048. Epub 2011 Nov 28.
Rachael P Huntley, Yasmin Alam-Faruque, Tony Sawford, Claire O'Donovan, Maria J Martin, Benoit Bely, Paul Browne, Wei Mun Chan, Ruth 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, Elizabeth Coudert, Anne Estreicher, Livia Famiglietti, Serenella Ferro-Rojas, Marc Feuermann, Arnaud Gos, Nadine Gruaz-Gumowski, Ursula Hinz, Chantal Hulo, Janet James, Silvia Jimenez, Florence Jungo, Guillaume Keller, Phillippe Lemercier, Damien Lieberherr, Patrick Masson, Madelaine Moinat, Ivo Pedruzzi, Sylvain Poux, Catherine Rivoire, Bernd Roechert, Michael Schneider, Andre Stutz, Shyamala Sundaram, Michael Tognolli, Lydie Bougueleret, Ghislaine Argoud-Puy, Isabelle Cusin, Paula Duek-Roggli, Ioannis Xenarios, Rolf Apweiler
Affiliations
- PMID: 22123736
- PMCID: PMC3245010
- DOI: 10.1093/nar/gkr1048
The UniProt-GO Annotation database in 2011
Emily C Dimmer et al. Nucleic Acids Res. 2012 Jan.
Abstract
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.
Figures
Figure 1.
Sources and flow of data for the UniProt-GOA data set.
Figure 2.
The Change Log display in QuickGO. QuickGO displays ontology changes relating to the addition of new terms, term obsoletions, changes in definitions or synonyms, relationships between terms and cross-references.
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