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首页> 外文期刊>Mathematical Biosciences: An International Journal >Constructing circular phylogenetic networks from weighted quartets using simulated annealing
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Constructing circular phylogenetic networks from weighted quartets using simulated annealing

机译:使用模拟退火从加权四重态构建圆形系统发育网络

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摘要

In this paper, we present a heuristic algorithm based on the simulated annealing, SAQ-Net, as a method for constructing phylogenetic networks from weighted quartets. Similar to QNet algorithm, SAQ-Net constructs a collection of circular weighted splits of the taxa set. This collection is represented by a split network. In order to show that SAQ-Net performs better than QNet, we apply these algorithm to both the simulated and actual data sets containing salmonella, Bees, Primates and Rubber data sets. Then we draw phylogenetic networks corresponding to outputs of these algorithms using SplitsTree4 and compare the results. We find that SAQ-Net produces a better circular ordering and phylogenetic networks than QNet in most cases. SAQ-Net has been implemented in Matlab and is available for download at http://bioinf.cs.ipm.ac.ir/softwares/saq.net.
机译:在本文中,我们提出一种基于模拟退火的启发式算法SAQ-Net,作为从加权四重态构建系统发育网络的方法。与QNet算法类似,SAQ-Net构造分类单元集的循环加权拆分的集合。此集合由拆分网络表示。为了证明SAQ-Net的性能优于QNet,我们将这些算法应用于包含沙门氏菌,蜜蜂,灵长类动物和橡胶数据集的模拟和实际数据集。然后,我们使用SplitsTree4绘制与这些算法的输出相对应的系统进化网络,并比较结果。我们发现,在大多数情况下,SAQ-Net比QNet产生更好的循环排序和系统发育网络。 SAQ-Net已在Matlab中实现,可从http://bioinf.cs.ipm.ac.ir/softwares/saq.net下载。

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