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首页> 外文期刊>Mathematical Biosciences: An International Journal >Phylogenetic invariants for the general Markov model of sequence mutation
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Phylogenetic invariants for the general Markov model of sequence mutation

机译:序列突变的一般Markov模型的系统发生不变量

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摘要

A phylogenetic invariant for a model of biological sequence evolution along a phylogenetic tree is a polynomial that vanishes on the expected frequencies of base patterns at the terminal taxa. While the use of these invariants for phylogenetic inference has long been of interest, explicitly constructing such invariants has been problematic. We construct invariants for the general Markov model Of K-base sequence evolution on an n-taxon tree, for any kappa and n. The method depends primarily on the observation that certain matrices defined in terms of expected pattern frequencies must commute, and yields many invariants of degree kappa + 1, regardless of the value of n. We define strong and parameter-strong sets of invariants, and prove several theorems indicating that the set of invariants produced here has these properties on certain sets of possible pattern frequencies. Thus our invariants may be sufficient for phylogenetic applications. (C) 2003 Elsevier Inc. All rights reserved. [References: 21]
机译:沿着系统发生树的生物序列进化模型的系统发生不变量是在终端分类单元上的碱基模式的预期频率消失的多项式。尽管长期以来一直将这些不变量用于系统发育推断,但是明确构建此类不变量一直是有问题的。对于任何kappa和n,我们在n分类单元树上为K基序列演化的一般Markov模型构造不变量。该方法主要取决于以下观察结果:根据期望的模式频率定义的某些矩阵必须进行交换,并且会产生k + 1级的许多不变量,而与n的值无关。我们定义了不变量的强且参数严格的集合,并证明了几个定理,这些定理表明此处产生的不变量集合在某些可能的模式频率上具有这些性质。因此,我们的不变量可能足以用于系统发育应用。 (C)2003 Elsevier Inc.保留所有权利。 [参考:21]

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