Gene Ontology Annotations and Resources
Abstract
The Gene Ontology (GO) Consortium (GOC, http://www.geneontology.org) is a community-based bioinformatics resource that classifies gene product function through the use of structured, controlled vocabularies. Over the past year, the GOC has implemented several processes to increase the quantity, quality and specificity of GO annotations. First, the number of manual, literature-based annotations has grown at an increasing rate. Second, as a result of a new 'phylogenetic annotation' process, manually reviewed, homology-based annotations are becoming available for a broad range of species. Third, the quality of GO annotations has been improved through a streamlined process for, and automated quality checks of, GO annotations deposited by different annotation groups. Fourth, the consistency and correctness of the ontology itself has increased by using automated reasoning tools. Finally, the GO has been expanded not only to cover new areas of biology through focused interaction with experts, but also to capture greater specificity in all areas of the ontology using tools for adding new combinatorial terms. The GOC works closely with other ontology developers to support integrated use of terminologies. The GOC supports its user community through the use of e-mail lists, social media and web-based resources.
Additional Information
© 2012 The Author(s). Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Published online 17 November 2012. The GO acknowledges the annotation effort from the annotators at: Gramene, Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA; The J. Craig Venter Institute, Rockville, MD, USA; PAMGO, Wells College, Aurora, NY, USA and PAMGO, Virginia Bioinformatics Institute, VA, USA; AspGD, Stanford, CA, USA; CGD, Stanford, CA, USA; Sanger GeneDB, Hinxton, UK; InterPro EBI, Hinxton, UK; IntAct, EBI, Hinxton, UK; seudoCAP, British Columbia, Canada; SGN, Ithaca, NY, USA. Funding: National Human Genome Research Institute (NHGRI) [U41HG002273 to the Gene Ontology Consortium, 1U41HG006104-03 to the European Bioinformatics Institute]; British Heart Foundation [SP/07/007/23671]. Funding for open access charge: NHGRI.Attached Files
Published - Nucl._Acids_Res.-2013--D530-5.pdf
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Additional details
- PMCID
- PMC3531070
- Eprint ID
- 36766
- Resolver ID
- CaltechAUTHORS:20130204-141831710
- NIH
- U41HG002273
- NIH
- 1U41HG006104-03
- British Heart Foundation
- SP/07/007/23671
- National Human Genome Research Institute
- Created
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2013-02-06Created from EPrint's datestamp field
- Updated
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2021-11-09Created from EPrint's last_modified field