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» Target SNP selection in complex disease association studies
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BCB
2010
161views Bioinformatics» more  BCB 2010»
14 years 4 months ago
Genome-wide compatible SNP intervals and their properties
Recent studies suggest that the mammalian genomes can be subdivided in segments within which there is limited haplotype diversity. Understanding the distribution and structure of ...
Jeremy W. Wang, Kyle J. Moore, Qi Zhang, Fernando ...
BMCBI
2010
113views more  BMCBI 2010»
14 years 9 months ago
ProbABEL package for genome-wide association analysis of imputed data
Background: Over the last few years, genome-wide association (GWA) studies became a tool of choice for the identification of loci associated with complex traits. Currently, impute...
Yurii S. Aulchenko, Maksim V. Struchalin, Cornelia...
BMCBI
2007
137views more  BMCBI 2007»
14 years 9 months ago
GEVALT: An integrated software tool for genotype analysis
Background: Genotype information generated by individual and international efforts carries the promise of revolutionizing disease studies and the association of phenotypes with al...
Ofir Davidovich, Gad Kimmel, Ron Shamir
69
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CSB
2005
IEEE
133views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Choosing SNPs Using Feature Selection
A major challenge for genomewide disease association studies is the high cost of genotyping large number of single nucleotide polymorphisms (SNP). The correlations between SNPs, h...
Tu Minh Phuong, Zhen Lin, Russ B. Altman
BMCBI
2010
62views more  BMCBI 2010»
14 years 9 months ago
Forward-time simulation of realistic samples for genome-wide association studies
Background: Forward-time simulations have unique advantages in power and flexibility for the simulation of genetic samples of complex human diseases because they can closely mimic...
Bo Peng, Christopher I. Amos