| Literature DB >> 11397946 |
A Grupe1, S Germer, J Usuka, D Aud, J K Belknap, R F Klein, M K Ahluwalia, R Higuchi, G Peltz.
Abstract
Experimental murine genetic models of complex human disease show great potential for understanding human disease pathogenesis. To reduce the time required for analysis of such models from many months down to milliseconds, a computational method for predicting chromosomal regions regulating phenotypic traits and a murine database of single nucleotide polymorphisms were developed. After entry of phenotypic information obtained from inbred mouse strains, the phenotypic and genotypic information is analyzed in silico to predict the chromosomal regions regulating the phenotypic trait.Entities:
Mesh:
Year: 2001 PMID: 11397946 DOI: 10.1126/science.1058889
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728