New FPT Algorithms for Finding the Temporal Hybridization Number for Sets of Phylogenetic Trees

Journal Article (2022)
Author(s)

Sander Borst (Centrum Wiskunde & Informatica (CWI))

Leo van Iersel (TU Delft - Discrete Mathematics and Optimization)

M.E.L. Jones (Centrum Wiskunde & Informatica (CWI))

Steven Kelk (Maastricht University)

Research Group
Discrete Mathematics and Optimization
Copyright
© 2022 Sander Borst, L.J.J. van Iersel, M.E.L. Jones, Steven Kelk
DOI related publication
https://doi.org/10.1007/s00453-022-00946-8
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Sander Borst, L.J.J. van Iersel, M.E.L. Jones, Steven Kelk
Research Group
Discrete Mathematics and Optimization
Issue number
7
Volume number
84
Pages (from-to)
2050-2087
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Abstract

We study the problem of finding a temporal hybridization network containing at most k reticulations, for an input consisting of a set of phylogenetic trees. First, we introduce an FPT algorithm for the problem on an arbitrary set of m binary trees with n leaves each with a running time of O(5 k· n· m). We also present the concept of temporal distance, which is a measure for how close a tree-child network is to being temporal. Then we introduce an algorithm for computing a tree-child network with temporal distance at most d and at most k reticulations in O((8 k) d5 k· k· n· m) time. Lastly, we introduce an O(6 kk! · k· n2) time algorithm for computing a temporal hybridization network for a set of two nonbinary trees. We also provide an implementation of all algorithms and an experimental analysis on their performance.