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BMCBI
2008
73views more  BMCBI 2008»
13 years 7 months ago
Parallel and serial computing tools for testing single-locus and epistatic SNP effects of quantitative traits in genome-wide ass
Background: Genome-wide association studies (GWAS) using single nucleotide polymorphism (SNP) markers provide opportunities to detect epistatic SNPs associated with quantitative t...
Li Ma, H. Birali Runesha, Daniel Dvorkin, John R. ...
BMCBI
2010
109views more  BMCBI 2010»
13 years 7 months ago
ParallABEL: an R library for generalized parallelization of genome-wide association studies
Background: Genome-Wide Association (GWA) analysis is a powerful method for identifying loci associated with complex traits and drug response. Parts of GWA analyses, especially th...
Unitsa Sangket, Surakameth Mahasirimongkol, Wasun ...
BMCBI
2008
153views more  BMCBI 2008»
13 years 7 months ago
AWclust: point-and-click software for non-parametric population structure analysis
Background: Population structure analysis is important to genetic association studies and evolutionary investigations. Parametric approaches, e.g. STRUCTURE and L-POP, usually ass...
Xiaoyi Gao, Joshua D. Starmer
RECOMB
2009
Springer
14 years 8 months ago
COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study
The availability of high density single nucleotide polymorphisms (SNPs) data has made genome-wide association study computationally challenging. Twolocus epistasis (gene-gene inter...
Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, Wei Wa...
CSB
2005
IEEE
133views Bioinformatics» more  CSB 2005»
14 years 1 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