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Constructing perfect phylogenies and proper triangulations for three-state characters

In this paper, we study the problem of constructing perfect phylogenies for three-state characters. Our work builds on two recent results. The first result states that for three-state characters, the local condition of examining all subsets of three characters is sufficient to determine the global p...

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Detalles Bibliográficos
Autores principales: Gysel, Rob, Lam, Fumei, Gusfield, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3558378/
https://www.ncbi.nlm.nih.gov/pubmed/23006612
http://dx.doi.org/10.1186/1748-7188-7-26
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author Gysel, Rob
Lam, Fumei
Gusfield, Dan
author_facet Gysel, Rob
Lam, Fumei
Gusfield, Dan
author_sort Gysel, Rob
collection PubMed
description In this paper, we study the problem of constructing perfect phylogenies for three-state characters. Our work builds on two recent results. The first result states that for three-state characters, the local condition of examining all subsets of three characters is sufficient to determine the global property of admitting a perfect phylogeny. The second result applies tools from minimal triangulation theory to the partition intersection graph to determine if a perfect phylogeny exists. Despite the wealth of combinatorial tools and algorithms stemming from the chordal graph and minimal triangulation literature, it is unclear how to use such approaches to efficiently construct a perfect phylogeny for three-state characters when the data admits one. We utilize structural properties of both the partition intersection graph and the original data in order to achieve a competitive time bound.
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spelling pubmed-35583782013-01-31 Constructing perfect phylogenies and proper triangulations for three-state characters Gysel, Rob Lam, Fumei Gusfield, Dan Algorithms Mol Biol Research In this paper, we study the problem of constructing perfect phylogenies for three-state characters. Our work builds on two recent results. The first result states that for three-state characters, the local condition of examining all subsets of three characters is sufficient to determine the global property of admitting a perfect phylogeny. The second result applies tools from minimal triangulation theory to the partition intersection graph to determine if a perfect phylogeny exists. Despite the wealth of combinatorial tools and algorithms stemming from the chordal graph and minimal triangulation literature, it is unclear how to use such approaches to efficiently construct a perfect phylogeny for three-state characters when the data admits one. We utilize structural properties of both the partition intersection graph and the original data in order to achieve a competitive time bound. BioMed Central 2012-09-24 /pmc/articles/PMC3558378/ /pubmed/23006612 http://dx.doi.org/10.1186/1748-7188-7-26 Text en Copyright ©2012 Gysel et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Gysel, Rob
Lam, Fumei
Gusfield, Dan
Constructing perfect phylogenies and proper triangulations for three-state characters
title Constructing perfect phylogenies and proper triangulations for three-state characters
title_full Constructing perfect phylogenies and proper triangulations for three-state characters
title_fullStr Constructing perfect phylogenies and proper triangulations for three-state characters
title_full_unstemmed Constructing perfect phylogenies and proper triangulations for three-state characters
title_short Constructing perfect phylogenies and proper triangulations for three-state characters
title_sort constructing perfect phylogenies and proper triangulations for three-state characters
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3558378/
https://www.ncbi.nlm.nih.gov/pubmed/23006612
http://dx.doi.org/10.1186/1748-7188-7-26
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