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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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| I publikationen: | BMC Genomics |
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| Huvudupphovsmän: | , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2017
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| Ämnen: | |
| Länkar: | 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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