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The program can be used either for research or for education and teaching purposes.<\/jats:p>\n               <jats:p>Availability and Implementation: Source code and binaries are freely available at http:\/\/www.reading.ac.uk\/\u223csar05sal\/software.htm. The program was implemented in C and can run on UNIX, MacOSX and Windows operating systems.<\/jats:p>\n               <jats:p>Contact: \u00a0joao.lopes@reading.ac.uk<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btp487","type":"journal-article","created":{"date-parts":[[2009,8,14]],"date-time":"2009-08-14T01:24:07Z","timestamp":1250213047000},"page":"2747-2749","source":"Crossref","is-referenced-by-count":70,"title":["PopABC: a program to infer historical demographic parameters"],"prefix":"10.1093","volume":"25","author":[{"given":"Joao S.","family":"Lopes","sequence":"first","affiliation":[{"name":"1 School of Biological Sciences, University of Reading, Whiteknights, PO Box 228, Reading RG6 6AJ and 2 Department of Epidemiology and Public Health, Imperial College, St Mary's Campus, Norfolk Place, London W2 1PG, UK"}]},{"given":"David","family":"Balding","sequence":"additional","affiliation":[{"name":"1 School of Biological Sciences, University of Reading, Whiteknights, PO Box 228, Reading RG6 6AJ and 2 Department of Epidemiology and Public Health, Imperial College, St Mary's Campus, Norfolk Place, London W2 1PG, UK"}]},{"given":"Mark A.","family":"Beaumont","sequence":"additional","affiliation":[{"name":"1 School of Biological Sciences, University of Reading, Whiteknights, PO Box 228, Reading RG6 6AJ and 2 Department of Epidemiology and Public Health, Imperial College, St Mary's Campus, Norfolk Place, London W2 1PG, UK"}]}],"member":"286","published-online":{"date-parts":[[2009,8,14]]},"reference":[{"key":"2023013112131694200_B1","doi-asserted-by":"crossref","first-page":"1733","DOI":"10.1093\/bioinformatics\/bti154","article-title":"Serial SimCoal: a population genetics model for data from multiple populations and points in time","volume":"21","author":"Anderson","year":"2005","journal-title":"Bioinformatics"},{"key":"2023013112131694200_B2","doi-asserted-by":"crossref","first-page":"2025","DOI":"10.1093\/genetics\/162.4.2025","article-title":"Approximate Bayesian computation in population genetics","volume":"162","author":"Beaumont","year":"2002","journal-title":"Genetics"},{"key":"2023013112131694200_B3","first-page":"135","article-title":"Joint determination of topology, divergence time, and immigration in population trees","volume-title":"Simulations, Genetics and Human Prehistory","author":"Beaumont","year":"2008"},{"key":"2023013112131694200_B4","doi-asserted-by":"crossref","DOI":"10.1093\/biomet\/asp052","article-title":"Adaptive approximate Bayesian computation","author":"Beaumont","year":"2009","journal-title":"Biometrika"},{"key":"2023013112131694200_B5","article-title":"Highly tolerant likelihood-free Bayesian inference: an adaptive non-linear heteroscedastic model","author":"Blum","year":"2008","journal-title":"Stat. 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