Parallel Markov chain Monte Carlo - bridging the gap to high-performance Bayesian computation in animal breeding and genetics

BACKGROUND: Most Bayesian models for the analysis of complex traits are not analytically tractable and inferences are based on computationally intensive techniques. This is true of Bayesian models for genome-enabled selection, which uses whole-genome molecular data to predict the genetic merit of ca...

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Detalles Bibliográficos
Autores principales: Wu, Xiao-Lin, Sun, Chuanyu, Beissinger, Timothy M, Rosa, Guilherme JM, Weigel, Kent A, Gatti, Natalia de Leon, Gianola, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3517397/
https://www.ncbi.nlm.nih.gov/pubmed/23009363
http://dx.doi.org/10.1186/1297-9686-44-29

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3517397/
https://www.ncbi.nlm.nih.gov/pubmed/23009363
http://dx.doi.org/10.1186/1297-9686-44-29

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