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A Survey of Methods for Constructing Rooted Phylogenetic Networks

Rooted phylogenetic networks are primarily used to represent conflicting evolutionary information and describe the reticulate evolutionary events in phylogeny. So far a lot of methods have been presented for constructing rooted phylogenetic networks, of which the methods based on the decomposition p...

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Autor principal: Wang, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5091748/
https://www.ncbi.nlm.nih.gov/pubmed/27806124
http://dx.doi.org/10.1371/journal.pone.0165834
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author Wang, Juan
author_facet Wang, Juan
author_sort Wang, Juan
collection PubMed
description Rooted phylogenetic networks are primarily used to represent conflicting evolutionary information and describe the reticulate evolutionary events in phylogeny. So far a lot of methods have been presented for constructing rooted phylogenetic networks, of which the methods based on the decomposition property of networks and by means of the incompatible graph (such as the CASS, the LNETWORK and the BIMLR) are more efficient than other available methods. The paper will discuss and compare these methods by both the practical and artificial datasets, in the aspect of the running time of the methods and the effective of constructed phylogenetic networks. The results show that the LNETWORK can construct much simper networks than the others.
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spelling pubmed-50917482016-11-15 A Survey of Methods for Constructing Rooted Phylogenetic Networks Wang, Juan PLoS One Research Article Rooted phylogenetic networks are primarily used to represent conflicting evolutionary information and describe the reticulate evolutionary events in phylogeny. So far a lot of methods have been presented for constructing rooted phylogenetic networks, of which the methods based on the decomposition property of networks and by means of the incompatible graph (such as the CASS, the LNETWORK and the BIMLR) are more efficient than other available methods. The paper will discuss and compare these methods by both the practical and artificial datasets, in the aspect of the running time of the methods and the effective of constructed phylogenetic networks. The results show that the LNETWORK can construct much simper networks than the others. Public Library of Science 2016-11-02 /pmc/articles/PMC5091748/ /pubmed/27806124 http://dx.doi.org/10.1371/journal.pone.0165834 Text en © 2016 Juan Wang http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wang, Juan
A Survey of Methods for Constructing Rooted Phylogenetic Networks
title A Survey of Methods for Constructing Rooted Phylogenetic Networks
title_full A Survey of Methods for Constructing Rooted Phylogenetic Networks
title_fullStr A Survey of Methods for Constructing Rooted Phylogenetic Networks
title_full_unstemmed A Survey of Methods for Constructing Rooted Phylogenetic Networks
title_short A Survey of Methods for Constructing Rooted Phylogenetic Networks
title_sort survey of methods for constructing rooted phylogenetic networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5091748/
https://www.ncbi.nlm.nih.gov/pubmed/27806124
http://dx.doi.org/10.1371/journal.pone.0165834
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