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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| 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 |