title: Using ontologies to describe mouse phenotypes.
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.
authors.affiliation: Bioinformatics Group, MRC Mammalian Genetics Unit, Harwell, Oxfordshire, OX11 0RD, UK. g.gkoutos@har.mrc.ac.uk
authors.forename: Georgios V
authors.initials: GV
authors.lastname: Gkoutos
authors.forename: Eain C J
authors.initials: EC
authors.lastname: Green
authors.forename: Ann-Marie
authors.initials: AM
authors.lastname: Mallon
authors.forename: John M
authors.initials: JM
authors.lastname: Hancock
authors.forename: Duncan
authors.initials: D
authors.lastname: Davidson
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods* / Q000592:standards; D004195:Disease Models, Animal; D005838:Genotype; D006801:Humans; D008490:Medical Informatics; D051379:Mice / Q000235:genetics* / Q000502:physiology; D010641:Phenotype; D018875:Vocabulary, Controlled