The Gene Ontology's Reference Genome Project: A Unified Framework for Functional Annotation across Species
Author(s) -
Pascale Gaudet,
Rex L. Chisholm,
Tanya Berardini,
Emily Dimmer,
Stacia R. Engel,
Petra Fey,
David P. Hill,
Douglas G. Howe,
James C. Hu,
Rachael P. Huntley,
Varsha Khodiyar,
Ranjana Kishore,
Donghui Li,
Ruth C. Lovering,
Fiona M. McCarthy,
Li Ni,
Victoria Petri,
Deborah A. Siegele,
Susan Tweedie,
Kimberly Van Auken,
Valerie Wood,
Siddhartha Basu,
Seth Carbon,
M. Eileen Dolan,
Chris Mungall,
Kara Dolinski,
Paul D. Thomas,
Michael Ashburner,
Judith A. Blake,
J. Michael Cherry,
Suzanna Lewis
Publication year - 2009
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1000431
Subject(s) - annotation , genome project , genome , gene annotation , function (biology) , ontology , consistency (knowledge bases) , gene , computer science , computational biology , encode , gene nomenclature , organism , gene ontology , biology , genetics , taxonomy (biology) , ecology , artificial intelligence , nomenclature , philosophy , gene expression , epistemology
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 of unifying the representation of gene function across different organisms. Each contributing member of the GO Consortium independently associates GO terms to gene products from the organism(s) they are annotating. Here we introduce the Reference Genome project, which brings together those independent efforts into a unified framework based on the evolutionary relationships between genes in these different organisms. The Reference Genome project has two primary goals: to increase the depth and breadth of annotations for genes in each of the organisms in the project, and to create data sets and tools that enable other genome annotation efforts to infer GO annotations for homologous genes in their organisms. In addition, the project has several important incidental benefits, such as increasing annotation consistency across genome databases, and providing important improvements to the GO's logical structure and biological content.
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