Journal
SCIENCE
Volume 292, Issue 5523, Pages 1915-1918Publisher
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.1058889
Keywords
-
Categories
Funding
- NHGRI NIH HHS [T32HG-00044, 1 R01 HG02322-01] Funding Source: Medline
- NIAAA NIH HHS [P60 AA010760] Funding Source: Medline
- NIAMS NIH HHS [R01 AR044659-07, R01 AR044659] Funding Source: Medline
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available