Creating the gene ontology resource: design and implementation.

Document Type

Article

Publication Date

2001

Keywords

Caenorhabditis-elegans, Computational-Biology, Databases-Factual, Drosophila, Genes-Structural, Genes-Structural-Fungal, Genes-Structural-Helminth, Genes-Structural-Insect, Genes-Structural-Plant, Mice, Online-Systems, Saccharomyces, Terminology

First Page

1425

Last Page

1433

JAX Source

Genome Res 2001 Aug; 11(8):1425-33.

Grant

HD33745/HD/NICHD, HG02273/HG/NHGRI

Abstract

The exponential growth in the volume of accessible biological information has generated a confusion of voices surrounding the annotation of molecular information about genes and their products. The Gene Ontology (GO) project seeks to provide a set of structured vocabularies for specific biological domains that can be used to describe gene products in any organism. This work includes building three extensive ontologies to describe molecular function, biological process, and cellular component, and providing a community database resource that supports the use of these ontologies. The GO Consortium was initiated by scientists associated with three model organism databases: SGD, the Saccharomyces Genome database; FlyBase, the Drosophila genome database; and MGD/GXD, the Mouse Genome Informatics databases. Additional model organism database groups are joining the project. Each of these model organism information systems is annotating genes and gene products using GO vocabulary terms and incorporating these annotations into their respective model organism databases. Each database contributes its annotation files to a shared GO data resource accessible to the public at http://www.geneontology.org/. The GO site can be used by the community both to recover the GO vocabularies and to access the annotated gene product data sets from the model organism databases. The GO Consortium supports the development of the GO database resource and provides tools enabling curators and researchers to query and manipulate the vocabularies. We believe that the shared development of this molecular annotation resource will contribute to the unification of biological information.

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