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Nucleic Acids Research Advance Access originally published online on October 27, 2008
Nucleic Acids Research 2009 37(Database issue):D396-D403; doi:10.1093/nar/gkn803
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Nucleic Acids Research, 2009, Vol. 37, Database issue D396-D403
© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

This article appears in the following Nucleic Acids Research issue: Database issue [View the issue table of contents]

Articles

The GOA database in 2009—an integrated Gene Ontology Annotation resource

Daniel Barrell*, Emily Dimmer, Rachael P. Huntley, David Binns, Claire O’Donovan and Rolf Apweiler

Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK

*To whom correspondence should be addressed. Tel: +44 1223 494444; Fax: +44 1223 494468; Email: goa{at}ebi.ac.uk

Received September 12, 2008. Revised October 9, 2008. Accepted October 10, 2008.

The Gene Ontology Annotation (GOA) project at the EBI (http://www.ebi.ac.uk/goa) provides high-quality electronic and manual associations (annotations) of Gene Ontology (GO) terms to UniProt Knowledgebase (UniProtKB) entries. Annotations created by the project are collated with annotations from external databases to provide an extensive, publicly available GO annotation resource. Currently covering over 160 000 taxa, with greater than 32 million annotations, GOA remains the largest and most comprehensive open-source contributor to the GO Consortium (GOC) project. Over the last five years, the group has augmented the number and coverage of their electronic pipelines and a number of new manual annotation projects and collaborations now further enhance this resource. A range of files facilitate the download of annotations for particular species, and GO term information and associated annotations can also be viewed and downloaded from the newly developed GOA QuickGO tool (http://www.ebi.ac.uk/QuickGO), which allows users to precisely tailor their annotation set.


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