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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
Descripción
Sumario: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.