EMINIM: An Adaptive and Memory-Efficient Algorithm for Genotype Imputation
نویسندگان
چکیده
منابع مشابه
EMINIM: An Adaptive and Memory-Efficient Algorithm for Genotype Imputation
Genome-wide association studies have proven to be a highly successful method for identification of genetic loci for complex phenotypes in both humans and model organisms. These large scale studies rely on the collection of hundreds of thousands of single nucleotide polymorphisms (SNPs) across the genome. Standard high-throughput genotyping technologies capture only a fraction of the total genet...
متن کاملAn Adaptive and Memory Efficient Algorithm for Genotype Imputation
Genome-wide association studies have proven to be a highly successful method for identification of genetic loci for complex phenotypes in both humans and model organisms. These large scale studies rely on the collection of hundreds of thousands of single nucleotide polymorphisms (SNPs) across the genome. Standard high-throughput genotyping technologies capture only a fraction of the total genet...
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چکیده ندارد.
Efficient genomewide selection of PCA-correlated tSNPs for genotype imputation.
The linkage disequilibrium structure of the human genome allows identification of small sets of single nucleotide polymorphisms (SNPs) (tSNPs) that efficiently represent dense sets of markers. This structure can be translated into linear algebraic terms as evidenced by the well documented principal components analysis (PCA)-based methods. Here we apply, for the first time, PCA-based methodology...
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ژورنال
عنوان ژورنال: Journal of Computational Biology
سال: 2010
ISSN: 1066-5277,1557-8666
DOI: 10.1089/cmb.2009.0199