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Nemo: an evolutionary and population genetics programming framework.

Frédéric Guillaume1, Jacques Rougemont

  • 1Department of Ecology and Evolution, University of Lausanne Biofore, CH-1015 Lausanne, Switzerland. guillaum@zoology.ubc.ca

Bioinformatics (Oxford, England)
|August 3, 2006
PubMed
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Nemo is a flexible C++ population genetics program simulating evolution in metapopulations. It models complex traits and life cycles, aiding evolutionary research.

Area of Science:

  • Population Genetics
  • Evolutionary Biology
  • Computational Biology

Background:

  • Nemo is a versatile population genetics computer program.
  • It is available as a C++ framework and executable.
  • Open-source under GNU GPL.

Purpose of the Study:

  • To provide a flexible and extensible platform for simulating population genetics.
  • To enable the study of life-history trait evolution in metapopulations.
  • To offer a wide range of population models and evolutionary scenarios.

Main Methods:

  • Individual-based, genetically explicit, and stochastic simulations.
  • Object-oriented programming design for flexibility.
  • Implementation of various population models (Island, lattice) and traits (mutations, markers).

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Main Results:

  • Nemo supports diverse forward-time evolutionary models.
  • It includes pre-implemented traits and life-cycle events.
  • The program is cross-platform and supports parallel computing.

Conclusions:

  • Nemo is a powerful tool for simulating complex evolutionary processes.
  • Its design facilitates custom model development.
  • It aids research in population genetics and evolutionary biology.