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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...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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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. |
format | Text |
id | pubmed-2891783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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