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A Poisson model of sequence comparison and its application to coronavirus phylogeny
In this paper, we propose two metrics to compare DNA and protein sequences based on a Poisson model of word occurrences. Instead of comparing the frequencies of all fixed-length words in two sequences, we consider (1) the probability of ‘generating’ one sequence under the Poisson model estimated fro...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7094598/ https://www.ncbi.nlm.nih.gov/pubmed/19073197 http://dx.doi.org/10.1016/j.mbs.2008.11.006 |
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author | Zheng, Xiaoqi Qin, Yufang Wang, Jun |
author_facet | Zheng, Xiaoqi Qin, Yufang Wang, Jun |
author_sort | Zheng, Xiaoqi |
collection | PubMed |
description | In this paper, we propose two metrics to compare DNA and protein sequences based on a Poisson model of word occurrences. Instead of comparing the frequencies of all fixed-length words in two sequences, we consider (1) the probability of ‘generating’ one sequence under the Poisson model estimated from the other; (2) their different expression levels of words. Phylogenetic trees of 25 viruses including SARS-CoVs are constructed to illustrate our approach. |
format | Online Article Text |
id | pubmed-7094598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70945982020-03-25 A Poisson model of sequence comparison and its application to coronavirus phylogeny Zheng, Xiaoqi Qin, Yufang Wang, Jun Math Biosci Article In this paper, we propose two metrics to compare DNA and protein sequences based on a Poisson model of word occurrences. Instead of comparing the frequencies of all fixed-length words in two sequences, we consider (1) the probability of ‘generating’ one sequence under the Poisson model estimated from the other; (2) their different expression levels of words. Phylogenetic trees of 25 viruses including SARS-CoVs are constructed to illustrate our approach. Elsevier Inc. 2009-02 2008-12-06 /pmc/articles/PMC7094598/ /pubmed/19073197 http://dx.doi.org/10.1016/j.mbs.2008.11.006 Text en Copyright © 2008 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Zheng, Xiaoqi Qin, Yufang Wang, Jun A Poisson model of sequence comparison and its application to coronavirus phylogeny |
title | A Poisson model of sequence comparison and its application to coronavirus phylogeny |
title_full | A Poisson model of sequence comparison and its application to coronavirus phylogeny |
title_fullStr | A Poisson model of sequence comparison and its application to coronavirus phylogeny |
title_full_unstemmed | A Poisson model of sequence comparison and its application to coronavirus phylogeny |
title_short | A Poisson model of sequence comparison and its application to coronavirus phylogeny |
title_sort | poisson model of sequence comparison and its application to coronavirus phylogeny |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7094598/ https://www.ncbi.nlm.nih.gov/pubmed/19073197 http://dx.doi.org/10.1016/j.mbs.2008.11.006 |
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