The Gene Ontology resource: enriching a GOld mine

Abstract The Gene Ontology Consortium (GOC) provides the most comprehensive resource currently available for computable knowledge regarding the functions of genes and gene products. Here, we report the advances of the consortium over the past two years. The new GO-CAM annotation framework was notabl...

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Veröffentlicht in:	Nucleic acids research Jg. 49; H. D1; S. D325 - D334
Hauptverfasser:	Carbon, Seth, Douglass, Eric, Good, Benjamin M, Unni, Deepak R, Harris, Nomi L, Mungall, Christopher J, Basu, Siddartha, Chisholm, Rex L, Dodson, Robert J, Hartline, Eric, Fey, Petra, Thomas, Paul D, Albou, Laurent-Philippe, Ebert, Dustin, Kesling, Michael J, Mi, Huaiyu, Muruganujan, Anushya, Huang, Xiaosong, Mushayahama, Tremayne, LaBonte, Sandra A, Siegele, Deborah A, Antonazzo, Giulia, Attrill, Helen, Brown, Nick H, Garapati, Phani, Marygold, Steven J, Trovisco, Vitor, dos Santos, Gil, Falls, Kathleen, Tabone, Christopher, Zhou, Pinglei, Goodman, Joshua L, Strelets, Victor B, Thurmond, Jim, Garmiri, Penelope, Ishtiaq, Rizwan, Rodríguez-López, Milagros, Acencio, Marcio L, Kuiper, Martin, Lægreid, Astrid, Logie, Colin, Lovering, Ruth C, Kramarz, Barbara, Saverimuttu, Shirin C C, Pinheiro, Sandra M, Gunn, Heather, Su, Renzhi, Thurlow, Katherine E, Chibucos, Marcus, Giglio, Michelle, Nadendla, Suvarna, Munro, James, Jackson, Rebecca, Duesbury, Margaret J, Del-Toro, Noemi, Meldal, Birgit H M, Paneerselvam, Kalpana, Perfetto, Livia, Porras, Pablo, Orchard, Sandra, Shrivastava, Anjali, Chang, Hsin-Yu, Finn, Robert Daniel, Mitchell, Alexander Lawson, Rawlings, Neil David, Richardson, Lorna, Sangrador-Vegas, Amaia, Blake, Judith A, Christie, Karen R, Dolan, Mary E, Drabkin, Harold J, Hill, David P, Ni, Li, Sitnikov, Dmitry M, Harris, Midori A, Oliver, Stephen G, Rutherford, Kim, Wood, Valerie, Hayles, Jaqueline, Bähler, Jürg, Bolton, Elizabeth R, De Pons, Jeffery L, Dwinell, Melinda R, Hayman, G Thomas, Kaldunski, Mary L, Kwitek, Anne E, Laulederkind, Stanley J F, Plasterer, Cody, Tutaj, Marek A, Vedi, Mahima, Wang, Shur-Jen, D’Eustachio, Peter, Matthews, Lisa, Balhoff, James P, Aleksander, Suzi A, Alexander, Michael J, Cherry, J Michael, Engel, Stacia R, Gondwe, Felix, Karra, Kalpana
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Oxford University Press 08.01.2021
Schlagworte:	Animals Arabidopsis - genetics Arabidopsis - metabolism Caenorhabditis elegans - genetics Caenorhabditis elegans - metabolism Database Issue Dictyostelium - genetics Dictyostelium - metabolism Drosophila melanogaster - genetics Drosophila melanogaster - metabolism Escherichia coli - genetics Escherichia coli - metabolism Gene Ontology Humans Internet Mice Molecular Sequence Annotation - statistics & numerical data Rats Saccharomyces cerevisiae - genetics Saccharomyces cerevisiae - metabolism Schizosaccharomyces - genetics Schizosaccharomyces - metabolism User-Computer Interface Zebrafish - genetics Zebrafish - metabolism
ISSN:	0305-1048, 1362-4962, 1362-4962
Online-Zugang:	Volltext
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Zusammenfassung:	Abstract The Gene Ontology Consortium (GOC) provides the most comprehensive resource currently available for computable knowledge regarding the functions of genes and gene products. Here, we report the advances of the consortium over the past two years. The new GO-CAM annotation framework was notably improved, and we formalized the model with a computational schema to check and validate the rapidly increasing repository of 2838 GO-CAMs. In addition, we describe the impacts of several collaborations to refine GO and report a 10% increase in the number of GO annotations, a 25% increase in annotated gene products, and over 9,400 new scientific articles annotated. As the project matures, we continue our efforts to review older annotations in light of newer findings, and, to maintain consistency with other ontologies. As a result, 20 000 annotations derived from experimental data were reviewed, corresponding to 2.5% of experimental GO annotations. The website (http://geneontology.org) was redesigned for quick access to documentation, downloads and tools. To maintain an accurate resource and support traceability and reproducibility, we have made available a historical archive covering the past 15 years of GO data with a consistent format and file structure for both the ontology and annotations.
Bibliographie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 AC02-05CH11231 National Institutes of Health (NIH) UK Medical Research Council USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23) National Science Foundation (NSF) None Wellcome Trust Biotechnology and Biological Sciences Research Council List of authors of the GO Consortium is provided in the Appendix.
ISSN:	0305-1048 1362-4962 1362-4962
DOI:	10.1093/nar/gkaa1113