Bioinformatics Advance Access published online on June 20, 2006
Bioinformatics, doi:10.1093/bioinformatics/btl334
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1 Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, NO-7489 Trondheim, Norway
Motivation: The Gene Ontology (GO) is a widely used terminology for gene product characterisation in e.g. interpretation of biology underlying microarray experiments. The current GO defines term relationships within each of the independent subontologies: molecular function, biological process and cellular component. However, it is evident that there also exist biological relationships between terms of different subontologies. Our aim was to connect the three subontologies to enable GO to cover more biological knowledge, enable a more consistent use of GO, and provide new opportunities for biological reasoning. Results: We propose a new structure, the Second Gene Ontology Layer, capturing biological relations not directly reflected in the present ontology structure. Given molecular functions, these paths identify biological processes where the molecular functions are involved and cellular components where they are active. The current Second Layer contains 6271 validated paths, covering 54% of the molecular functions of GO and can be used to render existing gene annotation sets more complete and consistent. Applying Second Layer paths to a set of 4223 human genes, increased biological process annotations by 24% compared to publicly available annotations and reproduced 30% of them. Availability: The Second Gene Ontology is publicly available through the GO Annotation Toolbox (GOAT.no): http://www.goat.no. Associate Editor: Jonathan Wren *These authors contributed equally.
Received April 7, 2006
Revised May 30, 2006
Accepted June 12, 2006
Article
Additional Gene Ontology structure for improved biological reasoning
Simen Myhre 1 *,
Henrik Tveit 2 *,
Torulf Mollestad 3,
and
Astrid Lægreid 1 *
2 Department of Computer and Information Science, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway
3 Department of Computer and Information Science, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway; SAS Institute AS Norway, Pb 2666 Solli, NO-0203 Oslo, Norway
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