simuPOP: a forward-time population genetics simulation environment. Summary: simuPOP is a forward-time population genetics simulation environment. The core of simuPOP is a scripting language (Python) that provides a large number of objects and functions to manipulate populations, and a mechanism to evolve populations forward in time. Using this R/Splus-like environment, users can create, manipulate and evolve populations interactively, or write a script and run it as a batch file. Owing to its flexible and extensible design, simuPOP can simulate large and complex evolutionary processes with ease. At a more user-friendly level, simuPOP provides an increasing number of built-in scripts that perform simulations ranging from implementation of basic population genetics models to generating datasets under complex evolutionary scenarios. Availability: simuPOP is freely available at http://simupop.sourceforge.net, distributed under GPL license.
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References in zbMATH (referenced in 5 articles )
Showing results 1 to 5 of 5.
- Kimmel, Marek; Wojdyła, Tomasz: Genetic demographic networks: mathematical model and applications (2016)
- Matthew Friedlander, Adrian Dobra, Helene Massam, Laurent Briollais: Analyzing Genome-wide Association Study Data with the R Package genMOSS (2016) arXiv
- Padhukasahasram, Badri K.: Probability that a sequence is lost without trace under the neutral Wright-Fisher model with recombination (2013)
- Bobrowski, Adam; Wojdyła, Tomasz; Kimmel, Marek: Asymptotic behavior of a Moran model with mutations, drift and recombination among multiple loci (2010)
- Mode, Charles J.; Gallop, Robert J.: A review on Monte Carlo simulation methods as they apply to mutation and selection as formulated in Wright-Fisher models of evolutionary genetics (2008)