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核苷酸替换的一般随机模型。

The general stochastic model of nucleotide substitution.

作者信息

Rodríguez F, Oliver J L, Marín A, Medina J R

机构信息

Departamento de Genética, Facultad de Biología, Universidad de Sevilla, Spain.

出版信息

J Theor Biol. 1990 Feb 22;142(4):485-501. doi: 10.1016/s0022-5193(05)80104-3.

DOI:10.1016/s0022-5193(05)80104-3
PMID:2338834
Abstract

DNA sequence evolution through nucleotide substitution may be assimilated to a stationary Markov process. The fundamental equations of the general model, with 12 independent substitution parameters, are used to obtain a formula which corrects the effect of multiple and parallel substitutions on the measure of evolutionary divergence between two homologous sequences. We show that only reversible models, with six independent parameters, allow the calculation of the substitution rates. Simulation experiments on DNA sequence evolution through nucleotide substitution call into question the effectiveness of the general model (and of any other more detailed description); nevertheless, the general model results are slightly superior to any of its particular cases.

摘要

通过核苷酸替换的DNA序列进化可以被视为一个平稳的马尔可夫过程。具有12个独立替换参数的一般模型的基本方程被用于获得一个公式,该公式校正了多重和平行替换对两个同源序列之间进化分歧度量的影响。我们表明,只有具有6个独立参数的可逆模型允许计算替换率。关于通过核苷酸替换的DNA序列进化的模拟实验对一般模型(以及任何其他更详细的描述)的有效性提出了质疑;然而,一般模型的结果略优于其任何特定情况。

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The general stochastic model of nucleotide substitution.核苷酸替换的一般随机模型。
J Theor Biol. 1990 Feb 22;142(4):485-501. doi: 10.1016/s0022-5193(05)80104-3.
2
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Estimation of evolutionary distances between nucleotide sequences.核苷酸序列间进化距离的估计。
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Simulating efficiently the evolution of DNA sequences.高效模拟DNA序列的进化。
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Two stationary nonhomogeneous Markov models of nucleotide sequence evolution.两个核苷酸序列进化的静态非齐次马尔可夫模型。
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General continuous-time Markov model of sequence evolution via insertions/deletions: are alignment probabilities factorable?通过插入/缺失进行序列进化的一般连续时间马尔可夫模型:比对概率是否可分解?
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Estimation of evolutionary distance between nucleotide sequences.核苷酸序列间进化距离的估计。
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