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dc.contributor.authorPolanski, Andrzej
Szczesna, Agnieszka
Garbulowski, Mateusz
Kimmel, Marek
dc.date.accessioned 2017-03-07T18:24:16Z
dc.date.available 2017-03-07T18:24:16Z
dc.date.issued 2017
dc.identifier.citation Polanski, Andrzej, Szczesna, Agnieszka, Garbulowski, Mateusz, et al.. "Coalescence computations for large samples drawn from populations of time-varying sizes." PLoS ONE, 12, no. 2 (2017) Public Library of Science: http://dx.doi.org/10.1371/journal.pone.0170701.
dc.identifier.urihttps://hdl.handle.net/1911/94028
dc.description.abstract We 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.
dc.language.iso eng
dc.publisher Public Library of Science
dc.rights This 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.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.title Coalescence computations for large samples drawn from populations of time-varying sizes
dc.type Journal article
dc.citation.journalTitle PLoS ONE
dc.citation.volumeNumber 12
dc.citation.issueNumber 2
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1371/journal.pone.0170701
dc.identifier.pmcid PMC5295683
dc.identifier.pmid 28170404
dc.type.publication publisher version
dc.citation.articleNumber e0170701


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