{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,5,27]],"date-time":"2023-05-27T08:27:41Z","timestamp":1685176061355},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2003,3,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: PopHist is a computer program that uses the frequency spectrum of alleles to: (a) estimate maximum likelihood parameters describing a population\u2019s history; and (b) compare alternative hypotheses about population history using likelihood ratio tests. The program uses the matrix coalescent, a method for calculating theoretical frequency spectra that can be applied to sets of unlinked sites.<\/jats:p>\n               <jats:p>Availability: Source code and documentation are available at http:\/\/mombasa.anthro.utah.edu\/wooding\/PopHist<\/jats:p>\n               <jats:p>Contact: swooding@genetics.utah.edu<\/jats:p>","DOI":"10.1093\/bioinformatics\/btg024","type":"journal-article","created":{"date-parts":[[2003,2,28]],"date-time":"2003-02-28T19:57:40Z","timestamp":1046462260000},"page":"539-540","source":"Crossref","is-referenced-by-count":4,"title":["PopHist: inferring population history from the spectrum of allele frequencies"],"prefix":"10.1093","volume":"19","author":[{"given":"Stephen","family":"Wooding","sequence":"first","affiliation":[{"name":"Eccles Institute of Human Genetics, University of Utah, 15 North 2030 East, Salt Lake City, UT 84112-5330, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2003,3,1]]},"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/4\/539\/48903896\/bioinformatics_19_4_539.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/4\/539\/48903896\/bioinformatics_19_4_539.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T16:43:07Z","timestamp":1674664987000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/19\/4\/539\/218837"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,3,1]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2003,3,1]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btg024","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2003,3,1]]},"published":{"date-parts":[[2003,3,1]]}}}