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Simplified ontologies allowing comparison of developmental mammalian gene expression

Adele Kruger1*, Oliver Hofmann1, Piero Carninci23, Yoshihide Hayashizaki23 and Winston Hide1

Author Affiliations

1 South African National Bioinformatics Institute, University of the Western Cape, Bellville 7535, South Africa

2 Genome Exploration Research Group (Genome Network Project Core Group), RIKEN Genomic Sciences Center (GSC), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan

3 Genome Science Laboratory, Discovery Research Institute, RIKEN Wako Institute, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan

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Genome Biology 2007, 8:R229  doi:10.1186/gb-2007-8-10-r229

Published: 25 October 2007


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.