Enhancement of phylogenetic tree construction based on differential evolution algorithm

Samar M. Zayed, Sherin Elgokhy, M. Saidahmed
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Abstract

One of the most challenging problems in the computational biology is inferring the evolutionary history to construct phylogenetic trees. A phylogenetic tree is a branching topology that represents the evolutionary relationships among groups of organisms. Traditional construction methods of phylogenetic trees rely on building a multiple sequence alignment (MSA) of the corresponding sequences of organisms. However, achieving optimal MSA for a numerous number of sequences is computationally complex. Moreover, even if an optimal MSA is obtained, it may not reflect the evolutionary history of the sequences. So, several free-alignment methods for phylogenetic tree construction have been proposed. In this paper, we investigate a free-alignment construction method to infer the optimal phylogenetic tree based on differential evolution algorithm. The evaluation results confirm that the investigated method succeeds in building the optimal tree with accuracy higher than other considered methods.
基于差分进化算法的系统发育树构建改进
计算生物学中最具挑战性的问题之一是推断进化历史以构建系统发生树。系统发育树是一种分支拓扑结构,表示生物体群体之间的进化关系。传统的系统发育树构建方法依赖于建立生物体相应序列的多序列比对(MSA)。然而,为大量序列实现最佳MSA在计算上是复杂的。此外,即使获得了最优的MSA,它也可能不能反映序列的进化史。因此,人们提出了几种构建系统发育树的自由比对方法。本文研究了一种基于差分进化算法的最优系统发育树的自由对齐构建方法。评价结果表明,该方法能够成功地构建最优树,且精度高于其他方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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