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