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On the use of cartographic projections in visualizing phylo-genetic tree space

Phylogenetic analysis is becoming an increasingly important tool for biological research. Applications include epidemiological studies, drug development, and evolutionary analysis. Phylogenetic search is a known NP-Hard problem. The size of the data sets which can be analyzed is limited by the expon...

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Detalles Bibliográficos
Autores principales: Sundberg, Kenneth, Clement, Mark, Snell, Quinn
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2891783/
https://www.ncbi.nlm.nih.gov/pubmed/20529355
http://dx.doi.org/10.1186/1748-7188-5-26
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author Sundberg, Kenneth
Clement, Mark
Snell, Quinn
author_facet Sundberg, Kenneth
Clement, Mark
Snell, Quinn
author_sort Sundberg, Kenneth
collection PubMed
description Phylogenetic analysis is becoming an increasingly important tool for biological research. Applications include epidemiological studies, drug development, and evolutionary analysis. Phylogenetic search is a known NP-Hard problem. The size of the data sets which can be analyzed is limited by the exponential growth in the number of trees that must be considered as the problem size increases. A better understanding of the problem space could lead to better methods, which in turn could lead to the feasible analysis of more data sets. We present a definition of phylogenetic tree space and a visualization of this space that shows significant exploitable structure. This structure can be used to develop search methods capable of handling much larger data sets.
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spelling pubmed-28917832010-06-25 On the use of cartographic projections in visualizing phylo-genetic tree space Sundberg, Kenneth Clement, Mark Snell, Quinn Algorithms Mol Biol Research Phylogenetic analysis is becoming an increasingly important tool for biological research. Applications include epidemiological studies, drug development, and evolutionary analysis. Phylogenetic search is a known NP-Hard problem. The size of the data sets which can be analyzed is limited by the exponential growth in the number of trees that must be considered as the problem size increases. A better understanding of the problem space could lead to better methods, which in turn could lead to the feasible analysis of more data sets. We present a definition of phylogenetic tree space and a visualization of this space that shows significant exploitable structure. This structure can be used to develop search methods capable of handling much larger data sets. BioMed Central 2010-06-08 /pmc/articles/PMC2891783/ /pubmed/20529355 http://dx.doi.org/10.1186/1748-7188-5-26 Text en Copyright ©2010 Sundberg 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
Sundberg, Kenneth
Clement, Mark
Snell, Quinn
On the use of cartographic projections in visualizing phylo-genetic tree space
title On the use of cartographic projections in visualizing phylo-genetic tree space
title_full On the use of cartographic projections in visualizing phylo-genetic tree space
title_fullStr On the use of cartographic projections in visualizing phylo-genetic tree space
title_full_unstemmed On the use of cartographic projections in visualizing phylo-genetic tree space
title_short On the use of cartographic projections in visualizing phylo-genetic tree space
title_sort on the use of cartographic projections in visualizing phylo-genetic tree space
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2891783/
https://www.ncbi.nlm.nih.gov/pubmed/20529355
http://dx.doi.org/10.1186/1748-7188-5-26
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