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- Title
simuPOP: a forward-time population genetics simulation environment.
- Authors
Peng, Bo; Kimmel, Marek
- Abstract
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.
- Publication
Bioinformatics (Oxford, England), 2005, Vol 21, Issue 18, p3686
- ISSN
1367-4803
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/bti584