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Bioinformatics Advance Access originally published online on July 31, 2006
Bioinformatics 2006 22(20):2556-2557; doi:10.1093/bioinformatics/btl415
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© The Author 2006. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Nemo: an evolutionary and population genetics programming framework

Frédéric Guillaume 1,2,* and Jacques Rougemont 3

1 Department of Ecology and Evolution, University of Lausanne Biofore, CH-1015 Lausanne, Switzerland
2 Department of Zoology, University of British Columbia 6270 University boullvard, Vancouver, British Columbia, Canada V6T 1Z4
3 Vital-IT, Swiss Institute of Bioinformatics Quartier Sorge-Genopode, CH-1015 Lausanne, Switzerland

*To whom correspondence should be addressed.

Summary: Nemo is an individual-based, genetically explicit and stochastic population computer program for the simulation of population genetics and life-history trait evolution in a metapopulation context. It comes as both a C++ programming framework and an executable program file. Its object-oriented programming design gives it the flexibility and extensibility needed to implement a large variety of forward-time evolutionary models. It provides developers with abstract models allowing them to implement their own life-history traits and life-cycle events. Nemo offers a large panel of population models, from the Island model to lattice models with demographic or environmental stochasticity and a variety of already implemented traits (deleterious mutations, neutral markers and more), life-cycle events (mating, dispersal, aging, selection, etc.) and output operators for saving data and statistics. It runs on all major computer platforms including parallel computing environments.

Availability: The source code, binaries and documentation are available under the GNU General Public License at http://nemo2.sourceforge.net.

Contact: guillaum@zoology.ubc.ca

Received on May 5, 2006; revised on July 24, 2006; accepted on July 26, 2006

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