Results 21 to 30 of about 308,702 (255)

The Gene Ontology's Reference Genome Project: a unified framework for functional annotation across species. [PDF]

PLoS Computational Biology, 2009
The Gene Ontology (GO) is a collaborative effort that provides structured vocabularies for annotating the molecular function, biological role, and cellular location of gene products in a highly systematic way and in a species-neutral manner with the aim ...
Reference Genome Group of the Gene Ontology Consortium
doaj   +1 more source

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 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

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

Mining Gene Ontology Data with AGENDA

Bioinformatics and Biology Insights, 2012
The Gene Ontology (GO) initiative is a collaborative effort that uses controlled vocabularies for annotating genetic information. We here present AGENDA ( A pplication for mining Gen e Ontology Da ta), a novel web-based tool for accessing the GO database.
Martin C. Göpfert, Qianhao Lu, Guvanch Ovezmyradov   +2 more
doaj   +2 more sources

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

Cross-Ontology multi-level association rule mining in the Gene Ontology. [PDF]

PLoS ONE, 2012
The Gene Ontology (GO) has become the internationally accepted standard for representing function, process, and location aspects of gene products. The wealth of GO annotation data provides a valuable source of implicit knowledge of relationships among ...
Prashanti Manda, Seval Ozkan, Hui Wang, Fiona McCarthy, Susan M Bridges   +4 more
doaj   +1 more source

GOLEM: an interactive graph-based gene-ontology navigation and analysis tool

BMC Bioinformatics, 2006
Background The Gene Ontology has become an extremely useful tool for the analysis of genomic data and structuring of biological knowledge. Several excellent software tools for navigating the gene ontology have been developed.
Huttenhower Curtis, Hibbs Matthew A, Sealfon Rachel SG, Myers Chad L, Troyanskaya Olga G   +4 more
doaj   +1 more source