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Parameterized Algorithms for Maximum Agreement Forest on Multiple Trees

机译:多树上最大一致性森林的参数化算法

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The Maximun Agreement Forest problem (maf) asks for a largest common subforest of a collection of phylogenetic trees. The maf problem on two binary phylogenetic trees has been studied extensively in the literature. In this paper, we present the first group of fixed-parameter tractable algorithms for the maf problem on multiple (i.e., two or more) binary phylogenetic trees. Our techniques work fine for the problem for both rooted trees and unrooted trees. The computational complexity of our algorithms is comparable with that of the known algorithms for two trees, and is independent of the number of phylogenetic trees for which a maximum agreement forest is constructed.
机译:Maximun协议森林问题(maf)要求系统发育树集合中最大的常见子森林。在文献中已经对两棵二元系统发生树上的maf问题进行了广泛的研究。在本文中,我们提出了针对多(即两个或两个以上)二元系统树的maf问题的第一组固定参数可处理算法。我们的技术可以很好地解决有根树和无根树的问题。我们算法的计算复杂度可与两棵树的已知算法相媲美,并且与构建最大一致性森林的系统发育树的数量无关。

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