simuPOP: a forward-time population genetics simulation environment

Bioinformatics. 2005 Sep 15;21(18):3686-7. doi: 10.1093/bioinformatics/bti584. Epub 2005 Jul 14.

Abstract

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Alleles
  • Biological Evolution
  • Computational Biology / instrumentation
  • Computational Biology / methods*
  • Computer Graphics
  • Computer Simulation*
  • Diploidy
  • Genetics
  • Genetics, Population*
  • Genotype
  • Humans
  • Internet
  • Linkage Disequilibrium
  • Programming Languages
  • Software
  • Time
  • Time Factors
  • User-Computer Interface