Comparing Algorithms for Genotype Imputation
نویسندگان
چکیده
منابع مشابه
GEDI: Scalable Algorithms for Genotype Error Detection and Imputation
Genome-wide association studies generate very large datasets that require scalable analysis algorithms. In this report we describe the GEDI software package, which implements efficient algorithms for performing several common tasks in the analysis of population genotype data, including genotype error detection and correction, imputation of both randomly missing and untyped genotypes, and genoty...
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Imputation in admixed populations is an important problem but challenging due to the complex linkage disequilibrium (LD) pattern. The emergence of large reference panels such as that from the 1,000 Genomes Project enables more accurate imputation in general, and in particular for admixed populations and for uncommon variants. To efficiently benefit from these large reference panels, one key iss...
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ژورنال
عنوان ژورنال: The American Journal of Human Genetics
سال: 2008
ISSN: 0002-9297
DOI: 10.1016/j.ajhg.2008.09.007