Results 21 to 30 of about 347,215 (296)

The Gene Ontology knowledgebase in 2026. [PDF]

Nucleic Acids Res
Abstract The Gene Ontology (GO) knowledgebase (https://geneontology.org) is a comprehensive resource describing the functions of genes. The GO knowledgebase is regularly updated and improved. We describe here the major updates that have been made in the past 3 years.
Gene Ontology Consortium .
europepmc   +4 more sources

Bringing ontology to the Gene Ontology [PDF]

Comparative and Functional Genomics, 2003
AbstractWe present an analysis of some considerations involved in expressing the Gene Ontology (GO) as a machine‐processible ontology, reflecting principles of formal ontology. GO is a controlled vocabulary that is intended to facilitate communication between biologists by standardizing usage of terms in database annotations.
Williams, Jennifer, Andersen, William
openaire   +2 more sources

The Gene Ontology Resource: 20 years and still GOing strong. [PDF]

, 2019
The Gene Ontology resource (GO; http://geneontology.org) provides structured, computable knowledge regarding the functions of genes and gene products.
Consortium, The Gene Ontology,, Consortium, Gene Ontology, The Gene Ontology Consortium, ., Consortium, The Gene Ontology   +3 more
core   +3 more sources

The Gene Ontology Categorizer [PDF]

Bioinformatics, 2004
Abstract Summary: The Gene Ontology Categorizer, developed jointly by the Los Alamos National Laboratory and Procter & Gamble Corp., provides a capability for the categorization task in the Gene Ontology (GO): given a list of genes of interest, what are the best nodes of the GO to summarize or categorize that list?
Cliff A. Joslyn, Susan M. Mniszewski, Andy W. Fulmer, Gary Heaton   +3 more
openaire   +2 more sources

Gene Ontology Annotations and Resources [PDF]

Nucleic Acids Research, 2012
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.
Gene Ontology Consortium, Blake, JA, Dolan, M, Drabkin, H, Hill, DP, Li, Ni, Sitnikov, D, Bridges, S, Burgess, S, Buza, T, McCarthy, F, Peddinti, D, Pillai, L, Carbon, S, Dietze, H, Ireland, A, Lewis, SE, Mungall, CJ, Gaudet, P, Chrisholm, RL, Fey, P, Kibbe, WA, Basu, S, Siegele, DA, McIntosh, BK, Renfro, DP, Zweifel, AE, Hu, JC, Brown, NH, Tweedie, S, Alam-Faruque, Y, Apweiler, R, Auchinchloss, A, Axelsen, K, Bely, B, Blatter, M-C, Bonilla, C, Bouguerleret, L, Boutet, E, Breuza, L, Bridge, A, Chan, WM, Chavali, G, Coudert, E, Dimmer, E, Estreicher, A, Famiglietti, L, Feuermann, M, Gos, A, Gruaz-Gumowski, N, Hieta, R, Hinz, C, Hulo, C, Huntley, R, James, J, Jungo, F, Keller, G, Laiho, K, Legge, D, Lemercier, P, Lieberherr, D, Magrane, M, Martin, MJ, Masson, P, Mutowo-Muellenet, P, O'Donovan, C, Pedruzzi, I, Pichler, K, Poggioli, D, Porras Millán, P, Poux, S, Rivoire, C, Roechert, B, Sawford, T, Schneider, M, Stutz, A, Sundaram, S, Tognolli, M, Xenarios, I, Foulgar, R, Lomax, J, Roncaglia, P, Khodiyar, VK, Lovering, RC, Talmud, PJ, Chibucos, M, Giglio, M Gwinn, Chang, H-Y, Hunter, S, McAnulla, C, Mitchell, A, Sangrador, A, Stephan, R, Harris, MA, Oliver, SG, Rutherford, K, Wood, V, Bahler, J, Lock, A, Kersey, PJ, McDowall, DM, Staines, DM, Dwinell, M, Shimoyama, M, Laulederkind, S, Hayman, T, Wang, S-J, Petri, V, Lowry, T, D'Eustachio, P, Matthews, L, Balakrishnan, R, Binkley, G, Cherry, JM, Costanzo, MC, Dwight, SS, Engel, SR, Fisk, DG, Hitz, BC, Hong, EL, Karra, K, Miyasato, SR, Nash, RS, Park, J, Skrzypek, MS, Weng, S, Wong, ED, Berardini, TZ, Huala, E, Mi, H, Thomas, PD, Chan, J, Kishore, R, Sternberg, P, Van Auken, K, Howe, D, Westerfield, M   +136 more
openaire   +4 more sources

A review on Gene Ontology evaluations. [PDF]

Database (Oxford)
Abstract The analysis of the large and heterogeneous datasets that characterize modern biology demands systems capable of representing biological knowledge in a formal, standardized manner. The most widely used structured vocabulary in molecular biology and biomedicine is the Gene Ontology (GO).
Pitarch B, Chagoyen M, Ranea JAG, Pazos F.   +3 more
europepmc   +4 more sources

Expansion of the Gene Ontology knowledgebase and resources [PDF]

, 2016
The Gene Ontology (GO) is a comprehensive resource of computable knowledge regarding the functions of genes and gene products. As such, it is extensively used by the biomedical research community for the analysis of -omics and related data.
The Gene Ontology Consortium, ., Consortium, The Gene Ontology,, Consortium, The Gene Ontology   +2 more
core   +3 more sources

Primer on the Gene Ontology [PDF]

, 2016
to appear in forthcoming book "The Gene Ontology Handbook" (Springer Humana)
Gaudet, P, Škunca, N, Hu, JC, Dessimoz, C   +3 more
openaire   +6 more sources

Gene Expression Analysis to Mine Highly Relevant Gene Data in Chronic Diseases and Annotating its GO Terms [PDF]

EAI Endorsed Transactions on Energy Web, 2020
Gene Expression Analysis seeks to find the highly expressive genes from a highly dimensional Microarray disease gene Database by using some statistical gene selection approaches based on supervised or unsupervised learning.
J. Bell, S. Vigila
doaj   +1 more source

Ontologizing gene-expression microarray data: characterizing clusters with Gene Ontology [PDF]

Bioinformatics, 2004
Abstract Summary: An XML-based Java application is described that provides a function-oriented overview of the results of cluster analysis of gene-expression microarray data based on Gene Ontology terms and associations. The application generates one HTML page with listings of the frequencies of explicit and implicit Gene Ontology ...
Peter N. Robinson, Andreas Wollstein, Ulrike Böhme, Bradley J. Beattie   +3 more
openaire   +2 more sources