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DPRml: distributed phylogeny reconstruction by maximum likelihood.

T M Keane1, T J Naughton, S A A Travers

  • 1Department of Computer Science, National University of Ireland Maynooth, Ireland.

Bioinformatics (Oxford, England)
|October 30, 2004
PubMed
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We developed a distributed phylogeny reconstruction program that leverages idle computing resources to build large phylogenetic trees efficiently. This approach offers a cost-effective solution for complex phylogenetic analyses, achieving near-linear speedup.

Area of Science:

  • Computational Biology
  • Bioinformatics
  • Phylogenetics

Background:

  • Increasing demand for large and accurate phylogenetic trees using statistical methods.
  • Limitations of single-processor systems for constructing trees with numerous taxa.
  • Concerns regarding the efficiency and accessibility of existing parallel phylogenetic programs.

Purpose of the Study:

  • To assess the suitability of phylogenetic analysis for large-scale, heterogeneous distributed computing.
  • To develop a novel distributed program for maximum likelihood-based phylogenetic tree construction.

Main Methods:

  • Developed a distributed, cross-platform program: distributed phylogeny reconstruction by maximum likelihood.
  • Utilized a proven maximum likelihood algorithm and a popular phylogenetic analysis library.

Related Experiment Videos

  • Leveraged idle clock cycles from networked machines for computation.

    • Main Results:

    • Achieved near-linear speedup in phylogenetic tree building using distributed computing.
    • Demonstrated the feasibility of creating a 'free' supercomputer for maximum likelihood analysis in academic/corporate settings.
    • The program supports an extensive range of DNA substitution models.

    Conclusions:

    • Distributed computing is highly suitable for large-scale phylogenetic analysis.
    • The developed program offers an efficient and accessible solution for complex tree reconstruction.
    • Idle computing resources can be effectively harnessed for significant computational gains in phylogenetics.