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Level-1 phylogenetic networks and their balanced minimum evolution polytopes

机译:1级系统发育网络及其平衡的最小进化多样性

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Balanced minimum evolution is a distance-based criterion for the reconstruction of phylogenetic trees. Several algorithms exist to find the optimal tree with respect to this criterion. One approach is to minimize a certain linear functional over an appropriate polytope. Here we present polytopes that allow a similar linear programming approach to finding phylogenetic networks. We investigate a two-parameter family of polytopes that arise from phylogenetic networks, and which specialize to the Balanced Minimum Evolution polytopes as well as the Symmetric Travelling Salesman polytopes. We show that the vertices correspond to certain level-1 phylogenetic networks, and that there are facets or faces for every split. We also describe lower bound faces and a family of faces for every dimension.
机译:平衡的最小进化是一种基于距离的系统发育树木的标准。 存在几种算法以找到该标准的最佳树。 一种方法是在适当的多晶石上最小化某种线性官能。 在这里,我们存在允许类似的线性规划方法来寻找系统发育网络。 我们研究了从系统发育网络产生的两参数家族,并专注于平衡的最小演化多特,以及对称的旅行推销员多特。 我们表明顶点对应于某些水平-1的系统发育网络,并且每个分裂都有刻面或面。 我们还描述了每个维度的下限面部和一系列面孔。

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