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Multipolar consensus for phylogenetic trees
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DOI：10.1080/10635150600969880.png)
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摘要
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Collections of phylogenetic trees are usually summarized using consensus methods. These methods build a single tree, supposed to be representative of the collection. However, in the case of heterogeneous collections of trees, the resulting consensus may be poorly resolved ( strict consensus, majority-rule consensus,...), or may perform arbitrary choices among mutually incompatible clades, or splits ( greedy consensus). Here, we propose an alternative method, which we call the multipolar consensus ( MPC). Its aim is to display all the splits having a support above a predefined threshold, in a minimum number of consensus trees, or poles. We show that the problem is equivalent to a graph-coloring problem, and propose an implementation of the method. Finally, we apply the MPC to real data sets. Our results indicate that, typically, all the splits down to a weight of 10% can be displayed in no more than 4 trees. In addition, in some cases, biologically relevant secondary signals, which would not have been present in any of the classical consensus trees, are indeed captured by our method, indicating that the MPC provides a convenient exploratory method for phylogenetic analysis. The method was implemented in a package freely available at http://www.lirmm.fr/similar to cbonnard/MPC.html.
Keyword:
BAYESIAN POSTERIOR PROBABILITIES
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5.7
论文数:
2.2K
被引数:
1.9W
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