用贝叶斯模型进行系统发育分析

W. Lu, Michael S. Hanrahan
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引用次数: 1

摘要

近年来,贝叶斯推理在系统发育和系统信息分析中得到了广泛的应用。本文在免费开源的Ubuntu Linux操作系统上,利用OpenMPI搭建了一个高性能的计算平台,然后运用贝叶斯推理模型,根据不同生物物种的生理和遗传特征的异同,构建了不同生物物种的系统发育树。通过实例研究和实验评估结果表明,我们的集群平台在使用贝叶斯模型分析分子数据时,在时间复杂度方面取得了良好的性能,引领了计算机科学与生物学交叉学科的生物信息学教育试点项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phylogenetic analysis using Bayesian model
Bayesian inference has been widely applied for phylogenetic and phyloinformatic analysis in recent years. In this paper we build up a high performance computing platform using OpenMPI with free-cost open source Ubuntu Linux operating systems, and then apply the Bayesian inference model to construct a phylogenetic tree of various biological species based on similarities and differences in their physical and genetic characteristics. A case study is also conducted and the experimental evaluation results to show that our cluster platform has achieved a good performance in the terms of time complexity when analyzing the molecular data using Bayesian model, leading a pilot inter-disciplinary Bioinformatics education program in between Computer Science and Biology.
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