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A Practical Guide to Phylogenetics for Nonexperts
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πBUSS: a parallel BEAST/BEAGLE utility for sequence simulation under complex evolutionary scenarios.

Filip Bielejec1, Philippe Lemey, Luiz Max Carvalho

  • 1Department of Microbiology and Immunology, Rega Institute, KU Leuven, Leuven, Belgium. filip.bielejec@rega.kuleuven.be.

BMC Bioinformatics
|June 3, 2014
PubMed
Summary
This summary is machine-generated.

We developed πBUSS, a flexible tool for simulating molecular sequences under complex evolutionary models. This aids in assessing phylogenetic reconstruction methods and enhances evolutionary inference studies.

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Area of Science:

  • Computational Biology
  • Evolutionary Biology
  • Bioinformatics

Background:

  • Phylogenetic reconstruction methods rely on simulated sequences for performance assessment.
  • BEAST is a Bayesian framework for time-calibrated molecular evolution but lacks simulation tools.
  • Existing tools do not adequately support complex evolutionary models for simulation.

Purpose of the Study:

  • To introduce πBUSS, a novel Monte Carlo simulation tool for phylogenetic analyses.
  • To provide a flexible and user-friendly platform for generating sequence alignments under diverse evolutionary models.
  • To enhance the capabilities of phylogenetic inference tools like BEAST.

Main Methods:

  • Utilizes the BEAGLE high-performance library for rapid sequence alignment generation.
  • Features a graphical user interface (GUI) and a command-line interface for flexible model application.
  • Integrates with BEAST by parsing common extensible markup language (XML) formats for advanced models.

Main Results:

  • πBUSS enables rapid generation of large sequence alignments using complex evolutionary models.
  • The tool offers a rich array of models applicable across multiple partitions.
  • Facilitates large-scale simulation studies through scripting and a user-friendly GUI.

Conclusions:

  • πBUSS provides a flexible and easy-to-use solution for sequence simulation under realistic evolutionary scenarios.
  • Supports simulation studies from basic illustration to complex performance assessments.
  • Applicable beyond the BEAST framework, connecting with other programs via standard I/O.