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PopABC: a program to infer historical demographic parameters.

Joao S Lopes1, David Balding, Mark A Beaumont

  • 1School of Biological Sciences, University of Reading, Whiteknights, PO Box 228, Reading RG66AJ, UK. joao.lopes@reading.ac.uk

Bioinformatics (Oxford, England)
|August 15, 2009
PubMed
Summary

PopABC is a new software package that uses approximate Bayesian computation (ABC) to analyze population divergence. This tool aids researchers and educators in understanding demographic patterns and comparing evolutionary scenarios.

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Area of Science:

  • Population genetics
  • Evolutionary biology
  • Computational biology

Background:

  • Understanding demographic divergence is crucial for evolutionary studies.
  • Distinguishing between different demographic scenarios requires robust analytical tools.

Purpose of the Study:

  • To introduce PopABC, a novel computer package for inferring demographic divergence.
  • To provide a tool for Bayesian model choice to differentiate demographic scenarios.
  • To offer a resource for both scientific research and educational purposes.

Main Methods:

  • Utilizes coalescent simulation within the framework of approximate Bayesian computation (ABC).
  • Designed for inferring demographic divergence patterns in populations and species.
  • Implemented in C for cross-platform compatibility (UNIX, MacOSX, Windows).

Main Results:

  • PopABC facilitates the inference of demographic divergence patterns.
  • The software enables Bayesian model choice for scenario discrimination.
  • Provides a user-friendly interface for complex population genetic analyses.

Conclusions:

  • PopABC is a versatile computational tool for population genetics research.
  • The package supports the investigation of demographic histories and evolutionary processes.
  • Accessible for both advanced research and teaching applications in evolutionary biology.