Results 21 to 30 of about 7,457,987 (378)
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
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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
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On the Use of Gene Ontology Annotations to Assess Functional Similarity among Orthologs and Paralogs: A Short Report. [PDF]
PLoS Computational Biology, 2012 A recent paper (Nehrt et al., PLoS Comput. Biol. 7:e1002073, 2011) has proposed a metric for the "functional similarity" between two genes that uses only the Gene Ontology (GO) annotations directly derived from published experimental results.
Paul D Thomas +5 more
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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 +3 more
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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 +3 more
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The Gene Ontology resource: enriching a GOld mine
Nucleic Acids Res., 2020 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.
S. Carbon +179 more
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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
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Measuring the evolution of ontology complexity: the gene ontology case study. [PDF]
PLoS ONE, 2013 Ontologies support automatic sharing, combination and analysis of life sciences data. They undergo regular curation and enrichment. We studied the impact of an ontology evolution on its structural complexity.
Olivier Dameron +2 more
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The Gene Ontology Resource: 20 years and still GOing strong
Nucleic Acids Res., 2018 The Gene Ontology resource (GO; http://geneontology.org) provides structured, computable knowledge regarding the functions of genes and gene products.
Gene Ontology Consortium
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