Grünewald Stefan, Forslund Kristoffer, Dress Andreas, Moulton Vincent
Chinese Academy of Science-Max Planck Society Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, People's Republic of China.
Mol Biol Evol. 2007 Feb;24(2):532-8. doi: 10.1093/molbev/msl180. Epub 2006 Nov 21.
We present QNet, a method for constructing split networks from weighted quartet trees. QNet can be viewed as a quartet analogue of the distance-based Neighbor-Net (NNet) method for network construction. Just as NNet, QNet works by agglomeratively computing a collection of circular weighted splits of the taxa set which is subsequently represented by a planar split network. To illustrate the applicability of QNet, we apply it to a previously published Salmonella data set. We conclude that QNet can provide a useful alternative to NNet if distance data are not available or a character-based approach is preferred. Moreover, it can be used as an aid for determining when a quartet-based tree-building method may or may not be appropriate for a given data set. QNet is freely available for download.
我们提出了QNet,一种从加权四重树构建分裂网络的方法。QNet可被视为基于距离的网络构建方法Neighbor-Net(NNet)的四重类似物。与NNet一样,QNet通过凝聚计算分类单元集的一组循环加权分裂来工作,随后由平面分裂网络表示。为了说明QNet的适用性,我们将其应用于先前发表的沙门氏菌数据集。我们得出结论,如果距离数据不可用或更喜欢基于特征的方法,QNet可以为NNet提供有用的替代方案。此外,它可用于辅助确定基于四重树的建树方法何时可能适用于给定数据集,何时可能不适用。QNet可免费下载。