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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2010
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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. |
format | Online Article Text |
id | pubmed-5054193 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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