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Optimizing the Order of Taxon Addition in Phylogenetic Tree Construction Using Genetic Algorithm

机译:遗传算法优化系统发育树施工中的分类秩序

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Phylogenetics has gained in public favor for the analysis of DNA sequence data as molecular biology has advanced. Among a number of algorithms for phylogenetics, the fastDNAml is considered to have reasonable computational cost and performance. However, it has a defect that its performance is likely to be significantly affected by the order of taxon addition. In this paper, we propose a genetic algorithm for optimizing the order of taxon addition in the fastDNAml. Experimental results show that the fastDNAml with the optimized order of taxon addition constructs more probable evolutionary trees in terms of the maximum likelihood.
机译:作为分子生物学的分析,Phyleocys在公众利益中获得了DNA序列数据,因为分子生物学先进。在发电学的许多算法中,FastDnaml被认为具有合理的计算成本和性能。但是,它的性能可能受到分类秩序的影响可能会受到显着影响。在本文中,我们提出了一种遗传算法,用于优化FastDnaml中的分类秩序。实验结果表明,随着分类秩序的优化顺序的FastDnaml在最大可能性方面构建了更可能的进化树。

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