{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T19:38:21Z","timestamp":1773862701114,"version":"3.50.1"},"reference-count":8,"publisher":"Oxford University Press (OUP)","issue":"18","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005,9,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>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.<\/jats:p>\n               <jats:p>Availability: simuPOP is freely available at http:\/\/simupop.sourceforge.net, distributed under GPL license.<\/jats:p>\n               <jats:p>Contact: \u00a0bpeng@rice.edu<\/jats:p>","DOI":"10.1093\/bioinformatics\/bti584","type":"journal-article","created":{"date-parts":[[2005,7,15]],"date-time":"2005-07-15T00:13:59Z","timestamp":1121386439000},"page":"3686-3687","source":"Crossref","is-referenced-by-count":282,"title":["simuPOP: a forward-time population genetics simulation environment"],"prefix":"10.1093","volume":"21","author":[{"given":"Bo","family":"Peng","sequence":"first","affiliation":[{"name":"Department of Statistics, Rice University 6100 Main Street, MS138, Houston, TX 77005, USA"}]},{"given":"Marek","family":"Kimmel","sequence":"additional","affiliation":[{"name":"Department of Statistics, Rice University 6100 Main Street, MS138, Houston, TX 77005, USA"}]}],"member":"286","published-online":{"date-parts":[[2005,7,14]]},"reference":[{"key":"2023060912062694900_B1","doi-asserted-by":"crossref","unstructured":"Balloux, F. 2001EASYPOP (Version 1.7): A computer program for population genetics simulation. J. Hered.92301\u2013302","DOI":"10.1093\/jhered\/92.3.301"},{"key":"2023060912062694900_B2","doi-asserted-by":"crossref","unstructured":"Balloux, F. and Goudet, J. 2002Statistical properties of population differentiation estimators under stepwise mutation in a finite island model. Mol. Ecol.11771\u2013783","DOI":"10.1046\/j.1365-294X.2002.01474.x"},{"key":"2023060912062694900_B3","unstructured":"Calafell, F., et al. 2001Haplotype evolution and linkage disequilibrium: a simulation study. Hum. Hered.5185\u201396"},{"key":"2023060912062694900_B4","unstructured":"Fearnhead, P. 2003Ancestral processes for non-neutral models of complex diseases. Theoret. Popul. Biol.63115\u2013130"},{"key":"2023060912062694900_B5","unstructured":"Hey, J. 2004A computer program for forward population genetic simulation"},{"key":"2023060912062694900_B6","unstructured":"Kingman, J. 1982The coalescent. Stochastic Proc. Appl.13235\u2013248"},{"key":"2023060912062694900_B7","unstructured":"Reich, D.E. and Lander, E.S. 2001On the allelic spectrum of human disease. Trends Genet.17502\u2013510"},{"key":"2023060912062694900_B8","unstructured":"Peng, B. and Kimmel, M. 2005On the allelic spectrum of human diseases, a simulation study.   In preparation"}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/21\/18\/3686\/50554877\/bioinformatics_21_18_3686.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/21\/18\/3686\/50554877\/bioinformatics_21_18_3686.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,9]],"date-time":"2023-06-09T12:07:02Z","timestamp":1686312422000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/21\/18\/3686\/202296"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,7,14]]},"references-count":8,"journal-issue":{"issue":"18","published-print":{"date-parts":[[2005,9,15]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/bti584","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2005,9]]},"published":{"date-parts":[[2005,7,14]]}}}