Jackknife and Bootstrap Tests of the Composition Vector Trees
10.1016/S1672-0229(10)60028-9
- Author:
Zuo GUANGHONG
1
,
2
;
Xu ZHAO
;
Yu HONGJIE
;
Hao BAILIN
Author Information
1. T-Life Research Center&Department of Physics, Fudan University, Shanghai, 200433, China
2. Shanghai Institute ofApplied Physics, Chinese Acadamy of Sciences, Shanghai, 201800, China
- Keywords:
composition vector;
phylogeny;
topological distance;
bootstrap;
jackknife;
CVTree
- From:
Genomics, Proteomics & Bioinformatics
2010;08(4):262-267
- CountryChina
- Language:Chinese
-
Abstract:
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.
