Pairwise Rearrangement is Fixed-Parameter Tractable in the Single Cut-and-Join Model

Lora Bailey, Heather Smith Blake, Garner Cochran, Nathan Fox, Michael Levet, Reem Mahmoud, Inne Singgih, Grace Stadnyk, Alexander Wiedemann

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Genome rearrangement is a common model for molecular evolution. In this paper, we consider the Pairwise Rearrangement problem, which takes as input two genomes and asks for the number of minimum-length sequences of permissible operations transforming the first genome into the second. In the Single Cut-and-Join model (Bergeron, Medvedev, & Stoye, J. Comput. Biol. 2010), Pairwise Rearrangement is #P-complete (Bailey, et. al., COCOON 2023), which implies that exact sampling is intractable. In order to cope with this intractability, we investigate the parameterized complexity of this problem. We exhibit a fixed-parameter tractable algorithm with respect to the number of components in the adjacency graph that are not cycles of length 2 or paths of length 1. As a consequence, we obtain that Pairwise Rearrangement in the Single Cut-and-Join model is fixed-parameter tractable by distance. Our results suggest that the number of nontrivial components in the adjacency graph serves as the key obstacle for efficient sampling.

Original languageEnglish (US)
Title of host publication19th Scandinavian Symposium on Algorithm Theory, SWAT 2024
EditorsHans L. Bodlaender
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959773188
DOIs
StatePublished - Jun 2024
Event19th Scandinavian Symposium on Algorithm Theory, SWAT 2024 - Helsinki, Finland
Duration: Jun 12 2024Jun 14 2024

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume294
ISSN (Print)1868-8969

Conference

Conference19th Scandinavian Symposium on Algorithm Theory, SWAT 2024
Country/TerritoryFinland
CityHelsinki
Period6/12/246/14/24

Keywords

  • Computational Complexity
  • Genome Rearrangement
  • Phylogenetics
  • Single Cut-and-Join

ASJC Scopus subject areas

  • Software

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