Coalescence computations for large samples drawn from populations of time-varying sizes

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dc.citation.articleNumbere0170701
dc.citation.issueNumber2en_US
dc.citation.journalTitlePLoS ONEen_US
dc.citation.volumeNumber12en_US
dc.contributor.authorPolanski, Andrzejen_US
dc.contributor.authorSzczesna, Agnieszkaen_US
dc.contributor.authorGarbulowski, Mateuszen_US
dc.contributor.authorKimmel, Mareken_US
dc.date.accessioned2017-03-07T18:24:16Z
dc.date.available2017-03-07T18:24:16Z
dc.date.issued2017en_US
dc.description.abstractWe present new results concerning probability distributions of times in the coalescence tree and expected allele frequencies for coalescent with large sample size. The obtained results are based on computational methodologies, which involve combining coalescence time scale changes with techniques of integral transformations and using analytical formulae for infinite products. We show applications of the proposed methodologies for computing probability distributions of times in the coalescence tree and their limits, for evaluation of accuracy of approximate expressions for times in the coalescence tree and expected allele frequencies, and for analysis of large human mitochondrial DNA dataset.en_US
dc.identifier.citationPolanski, Andrzej, Szczesna, Agnieszka, Garbulowski, Mateusz, et al.. "Coalescence computations for large samples drawn from populations of time-varying sizes." <i>PLoS ONE,</i> 12, no. 2 (2017) Public Library of Science: http://dx.doi.org/10.1371/journal.pone.0170701.
dc.identifier.doihttp://dx.doi.org/10.1371/journal.pone.0170701en_US
dc.identifier.urihttps://hdl.handle.net/1911/94028
dc.language.isoengen_US
dc.publisherPublic Library of Science
dc.rightsThis is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleCoalescence computations for large samples drawn from populations of time-varying sizesen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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