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Blake J.A.,The Jackson Laboratory | Christie K.R.,The Jackson Laboratory | Dolan M.E.,The Jackson Laboratory | Drabkin H.J.,The Jackson Laboratory | And 209 more authors.
Nucleic Acids Research | Year: 2015

The Gene Ontology (GO; http://www.geneontology.org) is a community-based bioinformatics resource that supplies information about gene product function using ontologies to represent biological knowledge. Here we describe improvements and expansions to several branches of the ontology, as well as updates that have allowed us to more efficiently disseminate the GO and capture feedback from the research community. The Gene Ontology Consortium (GOC) has expanded areas of the ontology such as cilia-related terms, cell-cycle terms and multicellular organism processes. We have also implemented new tools for generating ontology terms based on a set of logical rules making use of templates, and we have made efforts to increase our use of logical definitions. The GOC has a new and improved web site summarizing new developments and documentation, serving as a portal to GO data. Users can perform GO enrichment analysis, and search the GO for terms, annotations to gene products, and associated metadata across multiple species using the all-new AmiGO2 browser. We encourage and welcome the input of the research community in all biological areas in our continued effort to improve the Gene Ontology. © The Author(s) 2014. Source


Blake J.A.,The Jackson Laboratory | Dolan M.,The Jackson Laboratory | Drabkin H.,The Jackson Laboratory | Hill D.P.,The Jackson Laboratory | And 182 more authors.
Nucleic Acids Research | Year: 2013

The Gene Ontology (GO) Consortium (GOC, http://www.geneontology.org) is a community-based bio-informatics 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. First, the number of manual, literature-based annotations has grown at an increasing rate. Second, as a result of a new 'phylogenetic annotation' process, manually reviewed, homology-based annotations are becoming available for a broad range of species. Third, the quality of GO annotations has been improved through a streamlined process for, and automated quality checks of, GO annotations deposited by different annotation groups. Fourth, the consistency and correctness of the ontology itself has increased by using automated reasoning tools. Finally, the GO has been expanded not only to cover new areas of biology through focused interaction with experts, but also to capture greater specificity in all areas of the ontology using tools for adding new combinatorial terms. The GOC works closely with other ontology developers to support integrated use of terminologies. The GOC supports its user community through the use of e-mail lists, social media and web-based resources. © The Author(s) 2012. Source


Blake J.A.,The Jackson Laboratory | Dolan M.,The Jackson Laboratory | Drabkin H.,The Jackson Laboratory | Hill D.P.,The Jackson Laboratory | And 143 more authors.
Nucleic Acids Research | Year: 2012

The Gene Ontology (GO) (http://www.geneontology .org) is a community bioinformatics resource that represents gene product function through the use of structured, controlled vocabularies. The number of GO annotations of gene products has increased due to curation efforts among GO Consortium (GOC) groups, including focused literature-based annotation and ortholog-based functional inference. The GO ontologies continue to expand and improve as a result of targeted ontology development, including the introduction of computable logical definitions and development of new tools for the streamlined addition of terms to the ontology. The GOC continues to support its user community through the use of e-mail lists, social media and web-based resources. © The Author(s) 2011. Published by Oxford University Press. Source

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