{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T11:50:49Z","timestamp":1782388249717,"version":"3.54.5"},"reference-count":11,"publisher":"Oxford University Press (OUP)","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006,3,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: We present a Markov chain Monte Carlo coalescent genealogy sampler, LAMARC 2.0, which estimates population genetic parameters from genetic data. LAMARC can co-estimate subpopulation \u0398 = 4Ne\u03bc, immigration rates, subpopulation exponential growth rates and overall recombination rate, or a user-specified subset of these parameters. It can perform either maximum-likelihood or Bayesian analysis, and accomodates nucleotide sequence, SNP, microsatellite or elecrophoretic data, with resolved or unresolved haplotypes. It is available as portable source code and executables for all three major platforms.<\/jats:p>\n               <jats:p>Availability: LAMARC 2.0 is freely available at<\/jats:p>\n               <jats:p>Contact: \u00a0lamarc@gs.washington.edu<\/jats:p>","DOI":"10.1093\/bioinformatics\/btk051","type":"journal-article","created":{"date-parts":[[2006,1,13]],"date-time":"2006-01-13T01:54:20Z","timestamp":1137117260000},"page":"768-770","source":"Crossref","is-referenced-by-count":541,"title":["LAMARC 2.0: maximum likelihood and Bayesian estimation of population parameters"],"prefix":"10.1093","volume":"22","author":[{"given":"Mary K.","family":"Kuhner","sequence":"first","affiliation":[{"name":"Department of Genome Sciences 1 \u00a0 1 \u00a0 \u00a0 Box 357730 \u00a0 \u00a0 Seattle, WA 98195-7730, USA"},{"name":"University of Washington 1 \u00a0 1 \u00a0 \u00a0 Box 357730 \u00a0 \u00a0 Seattle, WA 98195-7730, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2006,1,12]]},"reference":[{"key":"2023012408535176900_b1","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1093\/genetics\/152.2.763","article-title":"Maximum-likelihood estimation of migration rates and effective population numbers in two populations using a coalescent approach","volume":"152","author":"Beerli","year":"1999","journal-title":"Genetics"},{"key":"2023012408535176900_b2","doi-asserted-by":"crossref","first-page":"4563","DOI":"10.1073\/pnas.081068098","article-title":"Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations using a coalescent approach","volume":"98","author":"Beerli","journal-title":"Proc. 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Res."}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/22\/6\/768\/48840138\/bioinformatics_22_6_768.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/22\/6\/768\/48840138\/bioinformatics_22_6_768.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,24]],"date-time":"2023-01-24T08:54:25Z","timestamp":1674550465000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/22\/6\/768\/296494"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,1,12]]},"references-count":11,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2006,3,15]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btk051","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2006,3,15]]},"published":{"date-parts":[[2006,1,12]]}}}