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A new resolution function to evaluate tree shape statistics
Phylogenetic trees are frequently used in biology to study the relationships between a number of species or organisms. The shape of a phylogenetic tree contains useful information about patterns of speciation and extinction, so powerful tools are needed to investigate the shape of a phylogenetic tre...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874070/ https://www.ncbi.nlm.nih.gov/pubmed/31751352 http://dx.doi.org/10.1371/journal.pone.0224197 |
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author | Hayati, Maryam Shadgar, Bita Chindelevitch, Leonid |
author_facet | Hayati, Maryam Shadgar, Bita Chindelevitch, Leonid |
author_sort | Hayati, Maryam |
collection | PubMed |
description | Phylogenetic trees are frequently used in biology to study the relationships between a number of species or organisms. The shape of a phylogenetic tree contains useful information about patterns of speciation and extinction, so powerful tools are needed to investigate the shape of a phylogenetic tree. Tree shape statistics are a common approach to quantifying the shape of a phylogenetic tree by encoding it with a single number. In this article, we propose a new resolution function to evaluate the power of different tree shape statistics to distinguish between dissimilar trees. We show that the new resolution function requires less time and space in comparison with the previously proposed resolution function for tree shape statistics. We also introduce a new class of tree shape statistics, which are linear combinations of two existing statistics that are optimal with respect to a resolution function, and show evidence that the statistics in this class converge to a limiting linear combination as the size of the tree increases. Our implementation is freely available at https://github.com/WGS-TB/TreeShapeStats. |
format | Online Article Text |
id | pubmed-6874070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-68740702019-12-07 A new resolution function to evaluate tree shape statistics Hayati, Maryam Shadgar, Bita Chindelevitch, Leonid PLoS One Research Article Phylogenetic trees are frequently used in biology to study the relationships between a number of species or organisms. The shape of a phylogenetic tree contains useful information about patterns of speciation and extinction, so powerful tools are needed to investigate the shape of a phylogenetic tree. Tree shape statistics are a common approach to quantifying the shape of a phylogenetic tree by encoding it with a single number. In this article, we propose a new resolution function to evaluate the power of different tree shape statistics to distinguish between dissimilar trees. We show that the new resolution function requires less time and space in comparison with the previously proposed resolution function for tree shape statistics. We also introduce a new class of tree shape statistics, which are linear combinations of two existing statistics that are optimal with respect to a resolution function, and show evidence that the statistics in this class converge to a limiting linear combination as the size of the tree increases. Our implementation is freely available at https://github.com/WGS-TB/TreeShapeStats. Public Library of Science 2019-11-21 /pmc/articles/PMC6874070/ /pubmed/31751352 http://dx.doi.org/10.1371/journal.pone.0224197 Text en © 2019 Hayati et al 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 Hayati, Maryam Shadgar, Bita Chindelevitch, Leonid A new resolution function to evaluate tree shape statistics |
title | A new resolution function to evaluate tree shape statistics |
title_full | A new resolution function to evaluate tree shape statistics |
title_fullStr | A new resolution function to evaluate tree shape statistics |
title_full_unstemmed | A new resolution function to evaluate tree shape statistics |
title_short | A new resolution function to evaluate tree shape statistics |
title_sort | new resolution function to evaluate tree shape statistics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874070/ https://www.ncbi.nlm.nih.gov/pubmed/31751352 http://dx.doi.org/10.1371/journal.pone.0224197 |
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