A hybrid method for the imputation of genomic data in livestock populations

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 info...

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Detalles Bibliográficos
Autores principales: Antolín, Roberto, Nettelblad, Carl, Gorjanc, Gregor, Money, Daniel, Hickey, John M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5439152/
https://www.ncbi.nlm.nih.gov/pubmed/28253858
http://dx.doi.org/10.1186/s12711-017-0300-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5439152/
https://www.ncbi.nlm.nih.gov/pubmed/28253858
http://dx.doi.org/10.1186/s12711-017-0300-y

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