Using ontologies to describe mouse phenotypes

Georgios V Gkoutos; Eain C. J. Green; Ann-Marie Mallon; John M Hancock; Duncan Davidson

Using ontologies to describe mouse phenotypes

Georgios V Gkoutos, Eain C. J. Green, Ann-Marie Mallon, John M Hancock, Duncan Davidson

Department of Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

The mouse is an important model of human genetic disease. Describing phenotypes of mutant mice in a standard, structured manner that will facilitate data mining is a major challenge for bioinformatics. Here we describe a novel, compositional approach to this problem which combines core ontologies from a variety of sources. This produces a framework with greater flexibility, power and economy than previous approaches. We discuss some of the issues this approach raises.

Original language	English
Pages (from-to)	R8
Journal	Genome Biology
Volume	6
Issue number	1
Publication status	Published - 2004

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AB - The mouse is an important model of human genetic disease. Describing phenotypes of mutant mice in a standard, structured manner that will facilitate data mining is a major challenge for bioinformatics. Here we describe a novel, compositional approach to this problem which combines core ontologies from a variety of sources. This produces a framework with greater flexibility, power and economy than previous approaches. We discuss some of the issues this approach raises.

UR - http://hdl.handle.net/2160/12066

M3 - Article

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SP - R8

JO - Genome Biology

JF - Genome Biology

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Using ontologies to describe mouse phenotypes

Abstract

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