Title :
Phylogenetic analysis using Bayesian model
Author :
Wei Lu ; Hanrahan, Mike
Author_Institution :
Dept. of Comput. Sci., USNH, Keene, NH, USA
Abstract :
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.
Keywords :
Bayes methods; bioinformatics; evolution (biological); genetics; trees (mathematics); Bayesian inference; Bayesian model; OpenMPI; biological species; cluster platform; free-cost open source Ubuntu Linux operating systems; genetic characteristics; high performance computing platform; molecular data; phylogenetic analysis; phylogenetic tree; phyloinformatic analysis; physical characteristics; pilot interdisciplinary bioinformatics education program; time complexity; Bayes methods; Biological system modeling; Linux; Markov processes; Monte Carlo methods; Phylogeny; linux; operating system; phylogenetics; phyloinformatics;
Conference_Titel :
American Society for Engineering Education (ASEE Zone 1), 2014 Zone 1 Conference of the
Conference_Location :
Bridgeport, CT
Print_ISBN :
978-1-4799-5232-8
DOI :
10.1109/ASEEZone1.2014.6820677