title: simuPOP: a forward-time population genetics simulation environment.
abstract: CONCLUSIONS
  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.
  
  
  BACKGROUND
  simuPOP is freely available at http://simupop.sourceforge.net, distributed under GPL license.
authors: Department of Statistics, Rice University, Houston, TX 77005, USA. bpeng@rice.edu
authors: Bo
authors: B
authors: Peng
authors: Marek
authors: M
authors: Kimmel
mesh_terms: D000465:Algorithms; D000483:Alleles; D005075:Biological Evolution; D019295:Computational Biology / Q000295:instrumentation / Q000379:methods*; D003196:Computer Graphics; D003198:Computer Simulation; D004171:Diploidy; D005823:Genetics; D005828:Genetics, Population; D005838:Genotype; D006801:Humans; D020407:Internet; D015810:Linkage Disequilibrium; D011381:Programming Languages; D012984:Software; D013995:Time; D013997:Time Factors; D014584:User-Computer Interface