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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Detalles Bibliográficos
Autores principales: Calus, Mario P. L., Bouwman, Aniek C., Schrooten, Chris, Veerkamp, Roel F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4926307/
https://www.ncbi.nlm.nih.gov/pubmed/27357580
http://dx.doi.org/10.1186/s12711-016-0225-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4926307/
https://www.ncbi.nlm.nih.gov/pubmed/27357580
http://dx.doi.org/10.1186/s12711-016-0225-x

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