A Near-Linear Kernel for Two-Parsimony Distance
Elise Deen, Leo van Iersel, Remie Janssen, Mark Jones, Yuki Murakami, and Norbert Zeh

TL;DR
This paper proves that computing the bounded-state maximum parsimony distance between two phylogenetic trees is fixed-parameter tractable with a near-linear kernel size, extending previous results for the unbounded case.
Contribution
The paper establishes a fixed-parameter tractable algorithm with an $O(k \, ext{lg} \, k)$ kernel size for computing the bounded-state maximum parsimony distance between phylogenetic trees, generalizing prior work.
Findings
Kernel size for the problem is $O(k \, ext{lg} \, k)$.
Introduces the concept of leg-disjoint incompatible quartets.
Proves fixed-parameter tractability for all $t$.
Abstract
The maximum parsimony distance and the bounded-state maximum parsimony distance measure the difference between two phylogenetic trees in terms of the maximum difference between their parsimony scores for any character (with a bound on the number of states in the character, in the case of ). While computing was previously shown to be fixed-parameter tractable with a linear kernel, no such result was known for . In this paper, we prove that computing is fixed-parameter tractable for all~. Specifically, we prove that this problem has a kernel of size , where . As the primary analysis tool, we introduce the concept of leg-disjoint incompatible quartets, which may…
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Taxonomy
TopicsGenomics and Phylogenetic Studies · Algorithms and Data Compression · Data Mining Algorithms and Applications
