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Nemo: an evolutionary and population genetics programming framework
Open accessAbstract
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 . Contact: guillaum@zoology.ubc.ca
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Cited by
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Evolutionary genomics can improve prediction of species’ responses to climate change
Waldvogel, A.-M., Feldmeyer, B., Rolshausen, G., Exposito-Alonso, M., Rellstab, C., Kofler, R., Mock, T., Schmid, K., Schmitt, I., Bataillon, T., et al. (2020) · Evolution Letters · doi:10.1002/evl3.154 · Cited by 348
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Metadata
- Authors
- Guillaume, F., & Rougemont, J.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-07-31
- Volume
- 22
- Issue
- 20
- Pages
- 2556-2557
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2107279733
- Cited by
- 173
- References
- 0
- FWCI
- 3.18
- Type
- journal article
- Language
- en
- Open access
- bronze
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