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混乱的树:系统发育混合体的结构

Mixed-up trees: the structure of phylogenetic mixtures.

作者信息

Matsen Frederick A, Mossel Elchanan, Steel Mike

机构信息

Biomathematics Research Centre, University of Canterbury, Canterbury, New Zealand.

出版信息

Bull Math Biol. 2008 May;70(4):1115-39. doi: 10.1007/s11538-007-9293-y. Epub 2008 Jan 3.

Abstract

In this paper, we apply new geometric and combinatorial methods to the study of phylogenetic mixtures. The focus of the geometric approach is to describe the geometry of phylogenetic mixture distributions for the two state random cluster model, which is a generalization of the two state symmetric (CFN) model. In particular, we show that the set of mixture distributions forms a convex polytope and we calculate its dimension; corollaries include a simple criterion for when a mixture of branch lengths on the star tree can mimic the site pattern frequency vector of a resolved quartet tree. Furthermore, by computing volumes of polytopes we can clarify how "common" non-identifiable mixtures are under the CFN model. We also present a new combinatorial result which extends any identifiability result for a specific pair of trees of size six to arbitrary pairs of trees. Next we present a positive result showing identifiability of rates-across-sites models. Finally, we answer a question raised in a previous paper concerning "mixed branch repulsion" on trees larger than quartet trees under the CFN model.

摘要

在本文中,我们应用新的几何和组合方法来研究系统发育混合。几何方法的重点是描述两状态随机簇模型的系统发育混合分布的几何结构,该模型是两状态对称(CFN)模型的推广。特别地,我们表明混合分布集形成一个凸多面体,并计算其维度;推论包括一个简单的准则,用于判断星树上分支长度的混合何时可以模拟解析四重树的位点模式频率向量。此外,通过计算多面体的体积,我们可以阐明在CFN模型下“常见”的不可识别混合情况。我们还给出了一个新的组合结果,它将大小为六的特定树对的任何可识别性结果扩展到任意树对。接下来我们给出一个肯定的结果,表明跨位点速率模型的可识别性。最后,我们回答了之前一篇论文中提出的一个问题,该问题涉及在CFN模型下大于四重树的树上的“混合分支排斥”。

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