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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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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. |
format | Online Article Text |
id | pubmed-3950903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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