On Coalescence Analysis Using Genealogy Rooted Trees

DNA sequence data are now being used to study the ancestral history of human population. The existing methods for such coalescence inference use recursion formula to compute the data probabilities. These methods are useful in practical applications, but computationally complicated. Here we first inv...

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Detalles Bibliográficos
Autores principales: Yuan, Ao, Qin, Gengsheng, He, Wenqing, Li, Qizhai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3950903/
https://www.ncbi.nlm.nih.gov/pubmed/24701248
http://dx.doi.org/10.1155/2014/194202
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author Yuan, Ao
Qin, Gengsheng
He, Wenqing
Li, Qizhai
author_facet Yuan, Ao
Qin, Gengsheng
He, Wenqing
Li, Qizhai
author_sort Yuan, Ao
collection PubMed
description DNA sequence data are now being used to study the ancestral history of human population. The existing methods for such coalescence inference use recursion formula to compute the data probabilities. These methods are useful in practical applications, but computationally complicated. Here we first investigate the asymptotic behavior of such inference; results indicate that, broadly, the estimated coalescent time will be consistent to a finite limit. Then we study a relatively simple computation method for this analysis and illustrate how to use it.
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spelling pubmed-39509032014-04-03 On Coalescence Analysis Using Genealogy Rooted Trees Yuan, Ao Qin, Gengsheng He, Wenqing Li, Qizhai Comput Math Methods Med Research Article DNA sequence data are now being used to study the ancestral history of human population. The existing methods for such coalescence inference use recursion formula to compute the data probabilities. These methods are useful in practical applications, but computationally complicated. Here we first investigate the asymptotic behavior of such inference; results indicate that, broadly, the estimated coalescent time will be consistent to a finite limit. Then we study a relatively simple computation method for this analysis and illustrate how to use it. Hindawi Publishing Corporation 2014 2014-02-23 /pmc/articles/PMC3950903/ /pubmed/24701248 http://dx.doi.org/10.1155/2014/194202 Text en Copyright © 2014 Ao Yuan et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yuan, Ao
Qin, Gengsheng
He, Wenqing
Li, Qizhai
On Coalescence Analysis Using Genealogy Rooted Trees
title On Coalescence Analysis Using Genealogy Rooted Trees
title_full On Coalescence Analysis Using Genealogy Rooted Trees
title_fullStr On Coalescence Analysis Using Genealogy Rooted Trees
title_full_unstemmed On Coalescence Analysis Using Genealogy Rooted Trees
title_short On Coalescence Analysis Using Genealogy Rooted Trees
title_sort on coalescence analysis using genealogy rooted trees
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3950903/
https://www.ncbi.nlm.nih.gov/pubmed/24701248
http://dx.doi.org/10.1155/2014/194202
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