Gene Ontology
Gene Ontology provides a computable knowledge base of gene and gene product functions across molecular, cellular, and tissue system levels to support computational biological analysis.
Key Features:
- GO-CAM Annotation Framework: The GO-CAM framework includes a formalized computational schema to check and validate 2,838 Gene Ontology Causal Models (GO-CAMs).
- Collaborative Refinements: Consortium collaborations produced a 10% increase in GO annotations, a 25% rise in annotated gene products, and incorporation of over 9,400 new scientific articles into the database.
- Historical Data Archive: A 15-year historical archive preserves consistent formats and file structures for ontology and annotation files to support traceability and reproducibility.
Scientific Applications:
- Functional Annotation of Genes: GO provides detailed annotations that help characterize gene functions and their roles within biological systems.
- Data Integration and Analysis: The standardized ontology enables integration of diverse datasets for comprehensive analyses across studies and species.
- Comparative Studies: GO supports comparison of gene functions across organisms to inform evolutionary and comparative biology research.
Methodology:
Continuous refinement and validation processes, including reviewing older annotations in light of new scientific findings and maintaining consistency with other ontologies, with 20,000 experimental data-derived annotations reviewed (2.5% of all experimental GO annotations).
Topics
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Carbon S, Douglass E, Good BM, Unni DR, Harris NL, Mungall CJ, Basu S, Chisholm RL, Dodson RJ, Hartline E, Fey P, Thomas PD, Albou L, Ebert D, Kesling MJ, Mi H, Muruganujan A, Huang X, Mushayahama T, LaBonte SA, Siegele DA, Antonazzo G, Attrill H, Brown NH, Garapati P, Marygold SJ, Trovisco V, dos Santos G, Falls K, Tabone C, Zhou P, Goodman JL, Strelets VB, Thurmond J, Garmiri P, Ishtiaq R, Rodríguez-López M, Acencio ML, Kuiper M, Lægreid A, Logie C, Lovering RC, Kramarz B, Saverimuttu SCC, Pinheiro SM, Gunn H, Su R, Thurlow KE, Chibucos M, Giglio M, Nadendla S, Munro J, Jackson R, Duesbury MJ, Del-Toro N, Meldal BHM, Paneerselvam K, Perfetto L, Porras P, Orchard S, Shrivastava A, Chang H, Finn RD, Mitchell AL, Rawlings ND, Richardson L, Sangrador-Vegas A, Blake JA, Christie KR, Dolan ME, Drabkin HJ, Hill DP, Ni L, Sitnikov DM, Harris MA, Oliver SG, Rutherford K, Wood V, Hayles J, Bähler J, Bolton ER, De Pons JL, Dwinell MR, Hayman GT, Kaldunski ML, Kwitek AE, Laulederkind SJF, Plasterer C, Tutaj MA, Vedi M, Wang S, D’Eustachio P, Matthews L, Balhoff JP, Aleksander SA, Alexander MJ, Cherry JM, Engel SR, Gondwe F, Karra K, Miyasato SR, Nash RS, Simison M, Skrzypek MS, Weng S, Wong ED, Feuermann M, Gaudet P, Morgat A, Bakker E, Berardini TZ, Reiser L, Subramaniam S, Huala E, Arighi CN, Auchincloss A, Axelsen K, Argoud-Puy G, Bateman A, Blatter M, Boutet E, Bowler E, Breuza L, Bridge A, Britto R, Bye-A-Jee H, Casas CC, Coudert E, Denny P, Estreicher A, Famiglietti ML, Georghiou G, Gos A, Gruaz-Gumowski N, Hatton-Ellis E, Hulo C, Ignatchenko A, Jungo F, Laiho K, Le Mercier P, Lieberherr D, Lock A, Lussi Y, MacDougall A, Magrane M, Martin MJ, Masson P, Natale DA, Hyka-Nouspikel N, Orchard S, Pedruzzi I, Pourcel L, Poux S, Pundir S, Rivoire C, Speretta E, Sundaram S, Tyagi N, Warner K, Zaru R, Wu CH, Diehl AD, Chan JN, Grove C, Lee RYN, Muller H, Raciti D, Van Auken K, Sternberg PW, Berriman M, Paulini M, Howe K, Gao S, Wright A, Stein L, Howe DG, Toro S, Westerfield M, Jaiswal P, Cooper L, Elser J. The Gene Ontology resource: enriching a GOld mine. Nucleic Acids Research. 2020;49(D1):D325-D334. doi:10.1093/nar/gkaa1113. PMID:33290552. PMCID:PMC7779012.