一种全局极大似然超四重奏系统发育方法

Pinghao Wang, B. Zhou, M. Tarawneh, Daniel Chu, Chen Wang, Albert Y. Zomaya, R. Brent
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引用次数: 3

摘要

我们扩展了之前算法的思想[17,18],开发了一种新的基于序列四重奏的系统发育树构建方法。该算法通过在每个合并步骤检查由四个子树组成的每个可能的超四重奏来迭代地重建系统发育树,而不是以前的算法中简单的四重奏。由于我们的新算法评估的是超四重奏树,每个树可能由四个以上的分子序列组成,因此它可以有效地缓解基于四重奏的方法中遇到的传统但重要的四重奏错误问题。实验结果表明,该算法在不同的进化环境下对不同的合成DNA数据进行系统发育树重建,具有很高的准确性和较强的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Global Maximum Likelihood Super-Quartet Phylogeny Method
Extending the idea of our previous algorithm [17, 18] we developed a new sequential quartet-based phylogenetic tree construction method. This new algorithm reconstructs the phylogenetic tree iteratively by examining at each merge step every possible super-quartet which is formed by four subtrees instead of simple quartet in our previous algorithm. Because our new algorithm evaluates super-quartet trees, each of which may consist of more than four molecular sequences, it can effectively alleviate a traditional, but important problem of quartet errors encountered in the quartetbased methods. Experiment results show that our newly proposed algorithm is capable of achieving very high accuracy and solid consistency in reconstructing the phylogenetic trees on different sets of synthetic DNA data under various evolution circumstances.
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