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New method for comparing DNA primary sequences based on a discrimination measure
We introduce a new approach to compare DNA primary sequences. The core of our method is a new measure of pairwise distances among sequences. Using the primitive discrimination substrings of sequence S and Q, a discrimination measure DM(S, Q) is defined for the similarity analysis of them. The propos...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7094107/ https://www.ncbi.nlm.nih.gov/pubmed/20688082 http://dx.doi.org/10.1016/j.jtbi.2010.07.040 |
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author | Feng, Jie Hu, Yong Wan, Ping Zhang, Aibing Zhao, Weizhong |
author_facet | Feng, Jie Hu, Yong Wan, Ping Zhang, Aibing Zhao, Weizhong |
author_sort | Feng, Jie |
collection | PubMed |
description | We introduce a new approach to compare DNA primary sequences. The core of our method is a new measure of pairwise distances among sequences. Using the primitive discrimination substrings of sequence S and Q, a discrimination measure DM(S, Q) is defined for the similarity analysis of them. The proposed method does not require multiple alignments and is fully automatic. To illustrate its utility, we construct phylogenetic trees on two independent data sets. The results indicate that the method is efficient and powerful. |
format | Online Article Text |
id | pubmed-7094107 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70941072020-03-25 New method for comparing DNA primary sequences based on a discrimination measure Feng, Jie Hu, Yong Wan, Ping Zhang, Aibing Zhao, Weizhong J Theor Biol Article We introduce a new approach to compare DNA primary sequences. The core of our method is a new measure of pairwise distances among sequences. Using the primitive discrimination substrings of sequence S and Q, a discrimination measure DM(S, Q) is defined for the similarity analysis of them. The proposed method does not require multiple alignments and is fully automatic. To illustrate its utility, we construct phylogenetic trees on two independent data sets. The results indicate that the method is efficient and powerful. Elsevier Ltd. 2010-10-21 2010-08-03 /pmc/articles/PMC7094107/ /pubmed/20688082 http://dx.doi.org/10.1016/j.jtbi.2010.07.040 Text en Copyright © 2010 Elsevier Ltd. 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 Feng, Jie Hu, Yong Wan, Ping Zhang, Aibing Zhao, Weizhong New method for comparing DNA primary sequences based on a discrimination measure |
title | New method for comparing DNA primary sequences based on a discrimination measure |
title_full | New method for comparing DNA primary sequences based on a discrimination measure |
title_fullStr | New method for comparing DNA primary sequences based on a discrimination measure |
title_full_unstemmed | New method for comparing DNA primary sequences based on a discrimination measure |
title_short | New method for comparing DNA primary sequences based on a discrimination measure |
title_sort | new method for comparing dna primary sequences based on a discrimination measure |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7094107/ https://www.ncbi.nlm.nih.gov/pubmed/20688082 http://dx.doi.org/10.1016/j.jtbi.2010.07.040 |
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