Article
A hybrid method for the imputation of genomic data in livestock populations.
Genetics, selection, evolution : GSE - 3 Mar 2017
Antolín Roberto, Nettelblad Carl, Gorjanc Gregor, Money Daniel, Hickey John M
Abstract excerpt
BACKGROUND: This paper describes a combined heuristic and hidden Markov model (HMM) method to accurately impute missing genotypes in livestock datasets. Genomic selection in breeding programs requires high-density genotyping of many individuals, making algorithms that economically generate this information crucial. There are two common classes of imputation methods, heuristic methods and probabilistic methods,...
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