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Constructing phylogenetic tree based on three-parameter model

机译:基于三参数模型的系统发育树构建

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Neighbor Joining Algorithm (Neighbor-Joining or NJ) is a common way to construct phylogenetic trees. To enhance the accuracy of constructing the phylogenetic trees, we use the Kimura three-parameter model to calculate the distance between sequences, raising a way to improve NJ. By computer simulation, we made a comparative analysis of the accuracy among the improved NJ. UPGMA, and the original NJ, the result showing that the improved NJ is superior to UPGMA and the original NJ.
机译:邻居加入算法(Neighbor-Joining或NJ)是构建系统树的常用方法。为了提高构建系统树的准确性,我们使用Kimura三参数模型来计算序列之间的距离,从而提出了一种改进NJ的方法。通过计算机仿真,我们对改进的NJ之间的准确性进行了比较分析。 UPGMA和原始NJ的结果表明,改进后的NJ优于UPGMA和原始NJ。

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