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Efficient genomic prediction based on whole-genome sequence data using split-and-merge Bayesian variable selection
BACKGROUND: Use of whole-genome sequence data is expected to increase persistency of genomic prediction across generations and breeds but affects model performance and requires increased computing time. In this study, we investigated whether the split-and-merge Bayesian stochastic search variable se...
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| Pubblicato in: | Genet Sel Evol |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4926307/ https://ncbi.nlm.nih.gov/pubmed/27357580 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12711-016-0225-x |
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