Phylogenetic analysis using maximum likelihood methods in homogeneous parallel environments

被引:0
|
作者
Till, M
Zhou, BB
Zomaya, A
Jermiin, LS
机构
[1] Univ Sydney, Sch Informat Technol, Sydney, NSW 2006, Australia
[2] Univ Sydney, Sch Biol Sci, Sydney, NSW 2006, Australia
关键词
parallel; super computing; phylogenetics; ASA; SPMD;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper describes a parallel application for phylogenetic analysis of DNA sequences. The program extends the phylogenetics program Trexml to increase the speed of this rather exhaustive tree searching program. The program uses the Advanced Stepwise Addition Algorithm (ASA) and provides two main advantages over existing applications. The size of the tree space can be chosen in such a way that we can fully utilize super computing resources. We also adopt a Single Program multiple Data (SPMD) approach in our program and use deterministic means to evaluate which processors are involved in communication. This approach alleviates the communication costs incurred in a master/slave system. Results from running the program on the AC3 Barossa supercomputer indicate that our approach scales well.
引用
收藏
页码:274 / 279
页数:6
相关论文
共 50 条
  • [1] A molecular phylogenetic analysis of papionins using Maximum Parsimony, Maximum Likelihood and Bayesian methods
    Getahun, Dagmawit Abebe
    Raaum, Ryan
    [J]. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY, 2020, 171 : 99 - 99
  • [2] TREE-PUZZLE: maximum likelihood phylogenetic analysis using quartets and parallel computing
    Schmidt, HA
    Strimmer, K
    Vingron, M
    von Haeseler, A
    [J]. BIOINFORMATICS, 2002, 18 (03) : 502 - 504
  • [3] Phylogenetic analysis using parsimony and likelihood methods
    Yang, ZH
    [J]. JOURNAL OF MOLECULAR EVOLUTION, 1996, 42 (02) : 294 - 307
  • [4] Analysis of Outlier Data using Parallel Maximum Likelihood Estimator
    Widyaningsih, Yekti
    Sarwinda, Devvi
    Yasinta, Anis Y.
    [J]. PROCEEDINGS OF THE 2019 2ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND INFORMATION MANAGEMENT (ICSIM 2019) / 2019 2ND INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (ICBDSC 2019), 2019, : 166 - 170
  • [5] PAML 4: Phylogenetic analysis by maximum likelihood
    Yang, Ziheng
    [J]. MOLECULAR BIOLOGY AND EVOLUTION, 2007, 24 (08) : 1586 - 1591
  • [6] An Asynchronous Parallel Genetic Algorithm for the Maximum Likelihood Phylogenetic Tree Search
    Tsuji, Miwako
    Sato, Mitsuhisa
    Tanabe, Akifumi S.
    Inagaki, Yuji
    Hashimoto, Tetsuo
    [J]. 2012 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2012,
  • [7] Phylogenetic Analysis of Vertebrate β-2 Adrenergic Receptor Sequences using Maximum Likelihood
    Ching, P. C. O.
    Tayo, L. L.
    [J]. 4TH ELECTRONIC AND GREEN MATERIALS INTERNATIONAL CONFERENCE 2018 (EGM 2018), 2018, 2045
  • [8] Maximum likelihood parallel factor analysis (MLPARAFAC)
    Vega-Montoto, L
    Wentzell, PD
    [J]. JOURNAL OF CHEMOMETRICS, 2003, 17 (04) : 237 - 253
  • [9] GPU Accelerated Maximum Likelihood Analysis for Phylogenetic Inference
    Rajapaksa, Sandun
    Rasanjana, Wageesha
    Perera, Indika
    Meedeniya, Dulani
    [J]. 2019 8TH INTERNATIONAL CONFERENCE ON SOFTWARE AND COMPUTER APPLICATIONS (ICSCA 2019), 2019, : 6 - 10
  • [10] PAML: a program package for phylogenetic analysis by maximum likelihood
    Yang, ZH
    [J]. COMPUTER APPLICATIONS IN THE BIOSCIENCES, 1997, 13 (05): : 555 - 556