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多数规则简约共识树及其在自展法中的应用。

Majority-rule reduced consensus trees and their use in bootstrapping.

作者信息

Wilkinson M

机构信息

School of Biological Sciences, University of Bristol, England.

出版信息

Mol Biol Evol. 1996 Mar;13(3):437-44. doi: 10.1093/oxfordjournals.molbev.a025604.

Abstract

Bootstrap analyses are usually summarized with majority-rule component consensus trees. This consensus method is based on replicated components and, like all component consensus methods, it is insensitive to other kinds of agreement between trees. Recently developed reduced consensus methods can be used to summarize much additional agreement on hypothesised phylogenetic relationships among multiple trees. The new methods are "strict" in the sense that they require agreement among all the trees being compared for any relationships to be represented in a consensus tree. Majority-rule reduced consensus methods are described and their use in bootstrap analyses is illustrated with a hypothetical and a real example. The new methods provide summaries of the bootstrap proportions of all n-taxon statements/partitions and facilitate the identification of hypotheses of relationships that are supported by high bootstrap proportions, in spite of a lack of support for particular components or clades. In practice majority-rule reduced consensus profiles may contain many trees. The size of the profile can be reduced by constraints on minimal bootstrap proportions and/or cardinality of the included trees. Majority-rule reduced consensus trees can also be selected a posteriori from the profile. Surrogates to the majority-rule reduced consensus methods using partition tables or tree pruning options provided by widely used phylogenetic inference software are also described. The methods are designed to produce more informative summaries of bootstrap analyses and thereby foster more informed assessment of the strengths and weaknesses of complex phylogenetic hypotheses.

摘要

自展分析通常用多数规则成分一致树来总结。这种一致方法基于重复的成分,并且像所有成分一致方法一样,它对树之间的其他类型的一致性不敏感。最近开发的简约一致方法可用于总结多棵树之间关于假设系统发育关系的更多一致性。新方法在某种意义上是“严格的”,即它们要求在进行比较的所有树之间达成一致,以便在一致树中表示任何关系。本文描述了多数规则简约一致方法,并通过一个假设示例和一个实际示例说明了它们在自展分析中的应用。新方法提供了所有n分类单元陈述/划分的自展比例的总结,并有助于识别由高自展比例支持的关系假设,尽管对特定成分或分支缺乏支持。在实践中,多数规则简约一致概况可能包含许多棵树。可以通过对最小自展比例和/或所包含树的基数施加限制来减小概况的大小。多数规则简约一致树也可以从概况中事后选择。还描述了使用广泛使用的系统发育推断软件提供的划分表或树修剪选项来替代多数规则简约一致方法。这些方法旨在产生更具信息性的自展分析总结,从而促进对复杂系统发育假设的优缺点进行更明智的评估。

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