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MrBayes on a Graphics Processing Unit
Author(s) -
Jianfu Zhou,
Xiaoguang Liu,
Douglas S. Stones,
Qiang Xie,
Gang Wang
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr140
Subject(s) - parallel computing , computer science , speedup , graphics , multi core processor , algorithm , graphics processing unit , computational science , computer graphics (images)
Bayesian phylogenetic inference can be used to propose a 'tree of life' for a collection of species whose DNA sequences are known. While there are many packages available that implement Bayesian phylogenetic inference, such as the popular MrBayes, running these programs poses significant computational challenges. Parallelized versions of the Metropolis coupled Markov chain Monte Carlo (MC³) algorithm in MrBayes have been presented that can run on various platforms, such as a graphics processing unit (GPU). The GPU has been used as a cost-effective means for computational research in many fields. However, until now, some limitations have prevented the GPU from being used to run MrBayes MC³ effectively.

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