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首页> 外文期刊>Journal of computational biology: A journal of computational molecular cell biology >Complete Families of Linear Invariants for Some Stochastic Models of Sequence Evolution, with and without the Molecular Clock Assumption
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Complete Families of Linear Invariants for Some Stochastic Models of Sequence Evolution, with and without the Molecular Clock Assumption

机译:带有和不带有分子时钟假设的某些随机序列演化模型的线性不变式的完整族

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For various models of sequence evolution, the set of linear functions of the frequencies of the nucleotide patterns forms a vector space, the invariant space. Here we distinguish between the model of nucleotide substitution, and the phylogenetic tree T describing the paths on which these changes occur. We describe a procedure to construct a basis of the invariant space for those models that are extensions of models incorporating Kimura's three substitution model of nucleotide change, including both the Jukes-Cantor and Cavender-Farris models. The dimension of the invariant space is determined, for those models where it is independent of the tree topology, as a function of the number of sequences. These are calculated where the nucleotide distribution at the root is unspecified, and both with, and without, the assumption of the molecular clock hypothesis. The invariants have a number of potential applications, including tree identification, and testing the fit of models (which could include the molecular clock) to sequence data.
机译:对于各种序列进化模型,核苷酸模式频率的线性函数集形成一个向量空间,即不变空间。在这里,我们区分核苷酸取代模型和描述这些变化发生路径的系统进化树T。我们描述了为那些模型构建不变空间基础的程序,这些模型是结合木村的核苷酸变化的三个替代模型的模型的扩展,包括Jukes-Cantor和Cavender-Farris模型。对于那些不依赖于树形拓扑的模型,确定不变空间的维数作为序列数的函数。这些计算是在未指定根的核苷酸分布的情况下进行的,无论是否假设分子时钟假设。不变量具有许多潜在的应用,包括树识别和测试模型(可能包括分子时钟)对数据进行排序的拟合。

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