title: Simplified ontologies allowing comparison of developmental mammalian gene expression.
abstract: Model organisms represent an important resource for understanding the fundamental aspects of mammalian biology. Mapping of biological phenomena between model organisms is complex and if it is to be meaningful, a simplified representation can be a powerful means for comparison. The Developmental eVOC ontologies presented here are simplified orthogonal ontologies describing the temporal and spatial distribution of developmental human and mouse anatomy. We demonstrate the ontologies by identifying genes showing a bias for developmental brain expression in human and mouse.
authors.affiliation: South African National Bioinformatics Institute, University of the Western Cape, Bellville 7535, South Africa. adele@sanbi.ac.za
authors.forename: Adele
authors.initials: A
authors.lastname: Kruger
authors.forename: Oliver
authors.initials: O
authors.lastname: Hofmann
authors.forename: Piero
authors.initials: P
authors.lastname: Carninci
authors.forename: Yoshihide
authors.initials: Y
authors.lastname: Hayashizaki
authors.forename: Winston
authors.initials: W
authors.lastname: Hide
mesh_terms: D000818:Animals; D001921:Brain / Q000196:embryology* / Q000378:metabolism; D047108:Embryonic Development / Q000235:genetics*; D020869:Gene Expression Profiling / Q000379:methods*; D018507:Gene Expression Regulation, Developmental / Q000235:genetics*; D015723:Gene Library; D006801:Humans; D051379:Mice; D013045:Species Specificity; D009626:Terminology as Topic