A note on efficient computation of hybridization number via softwired clusters
Steven Kelk

TL;DR
This paper introduces a fixed parameter tractable algorithm for computing the hybridization number of two rooted binary phylogenetic trees, avoiding MAAFs by leveraging softwired cluster equivalences, thus providing a new combinatorial perspective.
Contribution
It presents a novel FPT algorithm that bypasses MAAFs by connecting hybridization number computation with softwired cluster problems.
Findings
Algorithm runs in (6r)^r.poly(n) time
Avoids use of Maximum Acyclic Agreement Forests
Provides new combinatorial insights into hybridization number
Abstract
Here we present a new fixed parameter tractable algorithm to compute the hybridization number r of two rooted binary phylogenetic trees on taxon set X in time (6r)^r.poly(n), where n=|X|. The novelty of this approach is that it avoids the use of Maximum Acyclic Agreement Forests (MAAFs) and instead exploits the equivalence of the problem with a related problem from the softwired clusters literature. This offers an alternative perspective on the underlying combinatorial structure of the hybridization number problem.
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Taxonomy
TopicsGenomics and Phylogenetic Studies · Data Mining Algorithms and Applications · Genetic diversity and population structure
