The Gene Ontology Resource: 20 years and still GOing strong

被引：3062

作者：

Carbon, S. ^{[1
]}

Douglass, E. ^{[1
]}

Dunn, N. ^{[1
]}

Good, B. ^{[1
]}

Harris, N. L. ^{[1
]}

Lewis, S. E. ^{[1
]}

Mungall, C. J. ^{[1
]}

Basu, S. ^{[2
]}

Chisholm, R. L. ^{[2
]}

Dodson, R. J. ^{[2
]}

Hartline, E. ^{[2
]}

Fey, P. ^{[2
]}

Thomas, P. D. ^{[3
]}

Albou, L. P. ^{[3
]}

Ebert, D. ^{[3
]}

Kesling, M. J. ^{[3
]}

Mi, H. ^{[3
]}

Muruganujian, A. ^{[3
]}

Huang, X. ^{[3
]}

Poudel, S. ^{[3
]}

Mushayahama, T. ^{[3
]}

Hu, J. C. ^{[4
,5
]}

LaBonte, S. A. ^{[4
,5
]}

Siegele, D. A. ^{[4
,5
]}

Antonazzo, G. ^{[6
]}

Attrill, H. ^{[6
]}

Brown, N. H. ^{[6
]}

Fexova, S. ^{[6
]}

Garapati, P. ^{[6
]}

Jones, T. E. M. ^{[6
]}

Marygold, S. J. ^{[6
]}

Millburn, G. H. ^{[6
]}

Rey, A. J. ^{[6
]}

Trovisco, V. ^{[6
]}

dos Santos, G. ^{[7
]}

Emmert, D. B. ^{[7
]}

Falls, K. ^{[7
]}

Zhou, P. ^{[7
]}

Goodman, J. L. ^{[8
]}

Strelets, V. B. ^{[8
]}

Thurmond, J. ^{[8
]}

Courtot, M. ^{[9
]}

Osumi-Sutherland, D. ^{[9
]}

Parkinson, H. ^{[9
]}

Roncaglia, P. ^{[9
]}

Acencio, M. L. ^{[10
]}

Kuiper, M. ^{[10
]}

Laegreid, A. ^{[10
]}

Logie, C. ^{[11
]}

Lovering, R. C. ^{[12
]}

机构：

[1] Lawrence Berkeley Natl Lab, Berkeley Bioinformat Open Source Projects BBOP, Environm Genom & Syst Biol Div, Berkeley, CA USA

[2] Northwestern Univ, DictyBase, Chicago, IL 60611 USA

[3] Univ Southern Calif, Dept Prevent Med, Div Bioinformat, Los Angeles, CA 90089 USA

[4] Texas A&M Univ, Dept Biol, EcoliWiki, College Stn, TX 77843 USA

[5] Texas A&M Univ, Dept Biochem & Biophys, EcoliWiki, College Stn, TX 77843 USA

[6] Univ Cambridge, Dept Physiol Dev & Neurosci, FlyBase, Cambridge, England

[7] Harvard Univ, FlyBase, Biol Labs, Cambridge, MA 02138 USA

[8] Indiana Univ, Dept Biol, FlyBase, Bloomington, IN USA

[9] GO EMBL EBI, Hinxton, England

[10] Norwegian Univ Sci & Technol, Gene Regulat Consortium GRECO, Trondheim, Norway

[11] Radboud Univ Nijmegen, Gene Regulat Consortium GRECO, Nijmegen, Netherlands

[12] UCL, Inst Cardiovasc Sci, London, England

[13] Univ Maryland, Sch Med, Inst Genome Sci, Baltimore, MD 21201 USA

[14] EMBL EBI, IntAct Complex Portal, Hinxton, England

[15] EMBL EBI, InterPro, Hinxton, England

[16] Jackson Lab, Mouse Genome Informat, 600 Main St, Bar Harbor, ME 04609 USA

[17] Univ Cambridge, PomBase, Cambridge, England

[18] Francis Crick Inst, PomBase, London, England

[19] UCL, PomBase, London, England

[20] Med Coll Wisconsin, RGD, Milwaukee, WI 53226 USA

[21] NYU, Reactome, Dept Biochem & Mol Pharmacol, Sch Med, New York, NY USA

[22] Univ N Carolina, Renaissance Comp Inst, Chapel Hill, NC USA

[23] Stanford Univ, Dept Genet, SGD, Stanford, CA 94305 USA

[24] SIB, Geneva, Switzerland

[25] Phoenix Bioinformat, TAIR, Fremont, CA USA

[26] UniProt EMBL EBI, Hinxton, England

[27] PIR, Washington, DC USA

[28] Univ Buffalo, Dept Biomed Informat, Buffalo, NY USA

[29] CALTECH, WormBase, Pasadena, CA 91125 USA

[30] Wellcome Trust Sanger Inst, Hinxton, England

[31] EBI, Hinxton, England

[32] Ontario Inst Canc Res, Toronto, ON, Canada

[33] Univ Oregon, ZFIN, Eugene, OR 97403 USA

来源：

NUCLEIC ACIDS RESEARCH | 2019年 / 47卷 / D1期

基金：

美国国家卫生研究院; 美国国家科学基金会; 英国生物技术与生命科学研究理事会; 英国惠康基金; 英国医学研究理事会;

关键词：

DATABASE; GO;

D O I：

10.1093/nar/gky1055

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

The Gene Ontology resource (GO; http://geneontology.org) provides structured, computable knowledge regarding the functions of genes and gene products. Founded in 1998, GO has become widely adopted in the life sciences, and its contents are under continual improvement, both in quantity and in quality. Here, we report the major developments of the GO resource during the past two years. Each monthly release of the GO resource is now packaged and given a unique identifier (DOI), enabling GO-based analyses on a specific release to be reproduced in the future. The molecular function ontology has been refactored to better represent the overall activities of gene products, with a focus on transcription regulator activities. Quality assurance efforts have been ramped up to address potentially out-of-date or inaccurate annotations. New evidence codes for high-throughput experiments now enable users to filter out annotations obtained from these sources. GO-CAM, a new framework for representing gene function that is more expressive than standard GO annotations, has been released, and users can now explore the growing repository of these models. We also provide the GO ribbon' widget for visualizing GO annotations to a gene; the widget can be easily embedded in any web page.

引用

页码：D330 / D338

页数：9

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