TripNet：一种从三胞胎构建系统发育网络的方法
TripNet: A Method for Constructing Phylogenetic Networks from Triplets
摘要：
我们提出了TripNet，一种从三胞胎构建系统发育网络的方法。我们将介绍我们的方法背后的动机及其理论和经验的理由。为了证明TripNet的准确性和效率，我们进行了两次模拟，并将该方法应用于五个已发布的数据集：Kreitman的数据，一组来自乌得勒支真菌生物多样性中心的真实酵母数据的三联体，110个高度重组沙门氏菌多位点序列分型序列的集合，和新西兰毛茛属拟侧金盏花组（Ranunculussect.Pseudadonis）高山毛茛的nrDNA ITS和cpDNAJSA序列分析。最后，我们将我们的结果与其他作者使用其他方法已经获得的结果进行了比较。TripNet、数据集和补充文件可在www.bioinf.cs.ipm.ir/softwares/tripnet上免费下载。
英文摘要：
We present TripNet, a method for constructing phylogenetic networks from triplets. We will present the motivations behind our approach and its theoretical and empirical justification. To demonstrate the accuracy and efficiency of TripNet, we performed two simulations and also applied the method to five published data sets: Kreitman's data, a set of triplets from real yeast data obtained from the Fungal Biodiversity Center in Utrecht, a collection of 110 highly recombinant Salmonella multi-locus sequence typing sequences, and nrDNA ITS and cpDNA JSA sequence data of New Zealand alpine buttercups of Ranunculus sect. Pseudadonis. Finally, we compare our results with those already obtained by other authors using alternative methods. TripNet, data sets, and supplementary files are freely available for download at (www.bioinf.cs.ipm.ir/softwares/tripnet).
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