%0 Journal Article %1 peng2005simupop %A Peng, B %A Kimmel, M %D 2005 %J Bioinformatics %K methods simuPOP simulation %N 18 %P 3686-3687 %R 10.1093/bioinformatics/bti584 %T simuPOP: a forward-time population genetics simulation environment %U https://www.ncbi.nlm.nih.gov/pubmed/16020469 %V 21 %X 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.simuPOP is freely available at http://simupop.sourceforge.net, distributed under GPL license.

@article{peng2005simupop, 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.simuPOP is freely available at http://simupop.sourceforge.net, distributed under GPL license.}, added-at = {2016-11-02T07:09:21.000+0100}, author = {Peng, B and Kimmel, M}, biburl = {https://www.bibsonomy.org/bibtex/2475467e3f52530e6bdfd2786cec814d0/peter.ralph}, doi = {10.1093/bioinformatics/bti584}, interhash = {ba71c2a5976dff6009d2477c0958894e}, intrahash = {475467e3f52530e6bdfd2786cec814d0}, journal = {Bioinformatics}, keywords = {methods simuPOP simulation}, month = sep, number = 18, pages = {3686-3687}, pmid = {16020469}, timestamp = {2016-11-02T07:09:21.000+0100}, title = {{simuPOP}: a forward-time population genetics simulation environment}, url = {https://www.ncbi.nlm.nih.gov/pubmed/16020469}, volume = 21, year = 2005 }