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Application of a Bayesian non-linear model hybrid scheme to sequence data for genomic prediction and QTL mapping
BACKGROUND: Using whole genome sequence data might improve genomic prediction accuracy, when compared with high-density SNP arrays, and could lead to identification of casual mutations affecting complex traits. For some traits, the most accurate genomic predictions are achieved with non-linear Bayes...
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| Publicado no: | BMC Genomics |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5558724/ https://ncbi.nlm.nih.gov/pubmed/28810831 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-017-4030-x |
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