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Bacmeta: simulator for genomic evolution in bacterial metapopulations.

Aleksi Sipola1,2, Pekka Marttinen2, Jukka Corander1,3

  • 1Department of Mathematics and Statistics, University of Helsinki, Finland.

Bioinformatics (Oxford, England)
|February 24, 2018
PubMed
Summary

Bacmeta is a new software tool for simulating bacterial evolution. It allows researchers to model neutral evolution and other genetic processes in bacterial metapopulations efficiently.

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Area of Science:

  • Evolutionary biology
  • Computational biology
  • Genomics

Background:

  • Genomic data from bacterial populations necessitate advanced simulation tools.
  • Investigating evolutionary models requires efficient computational approaches.

Purpose of the Study:

  • To introduce Bacmeta, a novel software for simulating bacterial evolution.
  • To provide a flexible and efficient tool for investigating evolutionary hypotheses.

Main Methods:

  • Stochastic simulation of neutral evolution using a Wright-Fisher model.
  • Simulation of mutations, recombination, insertions/deletions, migration, and micro-epidemics.
  • Utilizes C++ objects for efficient simulation of metapopulations and metadata acquisition.

Main Results:

  • Bacmeta enables fast, flexible, and efficient simulation of bacterial metapopulations.
  • The software supports adjustable connectivity networks and explicit sequence data.
  • Facilitates large-scale simulations and likelihood-free inference in cluster environments.

Conclusions:

  • Bacmeta is a valuable tool for researchers studying bacterial evolution.
  • The software enhances the investigation of evolutionary models using empirical genomic data.