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The Gene Ontology Resource: 20 years and still GOing strong. Nucleic Acids Res 2019 Jan 08;47(D1):D330-D338 PMID: 30395331 PMCID: PMC6323945

Pubmed ID

30395331

DOI

10.1093/nar/gky1055

Abstract

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 Quality assurance efforts have been ramped up to address potentially out-of-date or inaccurate annotations.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.

Author List

The Gene Ontology Consortium

Authors

Melinda R. Dwinell PhD Center Associate Director, Associate Professor in the Physiology department at Medical College of Wisconsin
Mary E. Shimoyama PhD Associate Professor in the Biomedical Engineering department at Medical College of Wisconsin




Scopus

2-s2.0-85059799086   8 Citations
jenkins-FCD Prod-332 f92a19b0ec5e8e1eff783fac390ec127e367c2b5