First FPT algorithm for minimum-reticulation tree-child networks from multiple binary trees via cherry-picking sequences, running in O((8k)^k poly(n,t)) time with a practical parallel version.
Computing Hybridization Networks for Multiple Rooted Binary Phylogenetic Trees by Maximum Acyclic Agreement Forests
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
It is a known fact that, given two rooted binary phylogenetic trees, the concept of maximum acyclic agreement forests is sufficient to compute hybridization networks with minimum hybridization number. In this work, we demonstrate by first presenting an algorithm and then showing its correctness, that this concept is also sufficient in the case of multiple input trees. More precisely, we show that for computing minimum hybridization networks for multiple rooted binary phylogenetic trees on the same set of taxa it suffices to take only maximum acyclic agreement forests into account. Moreover, this article contains a proof showing that the minimum hybridization number for a set of rooted binary phylogenetic trees on the same set of taxa can be also computed by solving subproblems referring to common clusters of the input trees.
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cs.DM 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
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A Practical Fixed-Parameter Algorithm for Constructing Tree-Child Networks from Multiple Binary Trees
First FPT algorithm for minimum-reticulation tree-child networks from multiple binary trees via cherry-picking sequences, running in O((8k)^k poly(n,t)) time with a practical parallel version.