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Constructing Phylogenetic Networks Based on the Isomorphism of Datasets
Constructing rooted phylogenetic networks from rooted phylogenetic trees has become an important problem in molecular evolution. So far, many methods have been presented in this area, in which most efficient methods are based on the incompatible graph, such as the CASS, the LNETWORK, and the BIMLR....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4980496/ https://www.ncbi.nlm.nih.gov/pubmed/27547759 http://dx.doi.org/10.1155/2016/4236858 |
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author | Wang, Juan Zhang, Zhibin Li, Yanjuan |
author_facet | Wang, Juan Zhang, Zhibin Li, Yanjuan |
author_sort | Wang, Juan |
collection | PubMed |
description | Constructing rooted phylogenetic networks from rooted phylogenetic trees has become an important problem in molecular evolution. So far, many methods have been presented in this area, in which most efficient methods are based on the incompatible graph, such as the CASS, the LNETWORK, and the BIMLR. This paper will research the commonness of the methods based on the incompatible graph, the relationship between incompatible graph and the phylogenetic network, and the topologies of incompatible graphs. We can find out all the simplest datasets for a topology G and construct a network for every dataset. For any one dataset 𝒞, we can compute a network from the network representing the simplest dataset which is isomorphic to 𝒞. This process will save more time for the algorithms when constructing networks. |
format | Online Article Text |
id | pubmed-4980496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-49804962016-08-21 Constructing Phylogenetic Networks Based on the Isomorphism of Datasets Wang, Juan Zhang, Zhibin Li, Yanjuan Biomed Res Int Research Article Constructing rooted phylogenetic networks from rooted phylogenetic trees has become an important problem in molecular evolution. So far, many methods have been presented in this area, in which most efficient methods are based on the incompatible graph, such as the CASS, the LNETWORK, and the BIMLR. This paper will research the commonness of the methods based on the incompatible graph, the relationship between incompatible graph and the phylogenetic network, and the topologies of incompatible graphs. We can find out all the simplest datasets for a topology G and construct a network for every dataset. For any one dataset 𝒞, we can compute a network from the network representing the simplest dataset which is isomorphic to 𝒞. This process will save more time for the algorithms when constructing networks. Hindawi Publishing Corporation 2016 2016-07-28 /pmc/articles/PMC4980496/ /pubmed/27547759 http://dx.doi.org/10.1155/2016/4236858 Text en Copyright © 2016 Juan Wang et al. https://creativecommons.org/licenses/by/4.0/ 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 Wang, Juan Zhang, Zhibin Li, Yanjuan Constructing Phylogenetic Networks Based on the Isomorphism of Datasets |
title | Constructing Phylogenetic Networks Based on the Isomorphism of Datasets |
title_full | Constructing Phylogenetic Networks Based on the Isomorphism of Datasets |
title_fullStr | Constructing Phylogenetic Networks Based on the Isomorphism of Datasets |
title_full_unstemmed | Constructing Phylogenetic Networks Based on the Isomorphism of Datasets |
title_short | Constructing Phylogenetic Networks Based on the Isomorphism of Datasets |
title_sort | constructing phylogenetic networks based on the isomorphism of datasets |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4980496/ https://www.ncbi.nlm.nih.gov/pubmed/27547759 http://dx.doi.org/10.1155/2016/4236858 |
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