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

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

<p>Abstract</p> <p>Background</p> <p>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-g...

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Bibliographic Details
Main Authors: Wu Xiao-Lin, Sun Chuanyu, Beissinger Timothy M, Rosa Guilherme JM, Weigel Kent A, Gatti Natalia de, Gianola Daniel
Format: Article
Language:deu
Published: BMC 2012-09-01
Series:Genetics Selection Evolution
Online Access:http://www.gsejournal.org/content/44/1/29

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http://www.gsejournal.org/content/44/1/29

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