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Jackknife and Bootstrap Tests of the Composition Vector Trees

Composition vector trees (CVTrees) are inferred from whole-genome data by an alignment-free and parameter-free method. The agreement of these trees with the corresponding taxonomy provides an objective justification of the inferred phylogeny. In this work, we show the stability and self-consistency...

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Detalles Bibliográficos
Autores principales: Zuo, Guanghong, Xu, Zhao, Yu, Hongjie, Hao, Bailin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054193/
https://www.ncbi.nlm.nih.gov/pubmed/21382595
http://dx.doi.org/10.1016/S1672-0229(10)60028-9
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author Zuo, Guanghong
Xu, Zhao
Yu, Hongjie
Hao, Bailin
author_facet Zuo, Guanghong
Xu, Zhao
Yu, Hongjie
Hao, Bailin
author_sort Zuo, Guanghong
collection PubMed
description Composition vector trees (CVTrees) are inferred from whole-genome data by an alignment-free and parameter-free method. The agreement of these trees with the corresponding taxonomy provides an objective justification of the inferred phylogeny. In this work, we show the stability and self-consistency of CVTrees by performing bootstrap and jackknife re-sampling tests adapted to this alignment-free approach. Our ultimate goal is to advocate the viewpoint that time-consuming statistical re-sampling tests can be avoided at all in using this alignment-free approach. Agreement with taxonomy should be taken as a major criterion to estimate prokaryotic phylogenetic trees.
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spelling pubmed-50541932016-10-14 Jackknife and Bootstrap Tests of the Composition Vector Trees Zuo, Guanghong Xu, Zhao Yu, Hongjie Hao, Bailin Genomics Proteomics Bioinformatics Method Composition vector trees (CVTrees) are inferred from whole-genome data by an alignment-free and parameter-free method. The agreement of these trees with the corresponding taxonomy provides an objective justification of the inferred phylogeny. In this work, we show the stability and self-consistency of CVTrees by performing bootstrap and jackknife re-sampling tests adapted to this alignment-free approach. Our ultimate goal is to advocate the viewpoint that time-consuming statistical re-sampling tests can be avoided at all in using this alignment-free approach. Agreement with taxonomy should be taken as a major criterion to estimate prokaryotic phylogenetic trees. Elsevier 2010-12 2011-03-05 /pmc/articles/PMC5054193/ /pubmed/21382595 http://dx.doi.org/10.1016/S1672-0229(10)60028-9 Text en © 2010 Beijing Institute of Genomics http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/).
spellingShingle Method
Zuo, Guanghong
Xu, Zhao
Yu, Hongjie
Hao, Bailin
Jackknife and Bootstrap Tests of the Composition Vector Trees
title Jackknife and Bootstrap Tests of the Composition Vector Trees
title_full Jackknife and Bootstrap Tests of the Composition Vector Trees
title_fullStr Jackknife and Bootstrap Tests of the Composition Vector Trees
title_full_unstemmed Jackknife and Bootstrap Tests of the Composition Vector Trees
title_short Jackknife and Bootstrap Tests of the Composition Vector Trees
title_sort jackknife and bootstrap tests of the composition vector trees
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054193/
https://www.ncbi.nlm.nih.gov/pubmed/21382595
http://dx.doi.org/10.1016/S1672-0229(10)60028-9
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