Rearrangement distance with reversals, indels, and moves in intergenic regions on signed and unsigned permutations

Author:

Brito Klairton Lima1ORCID,Oliveira Andre Rodrigues12ORCID,Alexandrino Alexsandro Oliveira1ORCID,Dias Ulisses3ORCID,Dias Zanoni1ORCID

Affiliation:

1. Institute of Computing, University of Campinas, 1251 Albert Einstein Avenue, Campinas, São Paulo, Brazil

2. Computing and Informatics Department, Mackenzie Presbyterian University, 905 Mackenzie Avenue, Barueri, São Paulo, Brazil

3. School of Technology, University of Campinas, 1888 Paschoal Marmo Street, Limeira, São Paulo, Brazil

Abstract

Genome rearrangement events are widely used to estimate a minimum-size sequence of mutations capable of transforming a genome into another. The length of this sequence is called distance, and determining it is the main goal in genome rearrangement distance problems. Problems in the genome rearrangement field differ regarding the set of rearrangement events allowed and the genome representation. In this work, we consider the scenario where the genomes share the same set of genes, gene orientation is known or unknown, and intergenic regions (structures between a pair of genes and at the extremities of the genome) are taken into account. We use two models, the first model allows only conservative events (reversals and moves), and the second model includes non-conservative events (insertions and deletions) in the intergenic regions. We show that both models result in NP-hard problems no matter if gene orientation is known or unknown. When the information regarding the orientation of genes is available, we present for both models an approximation algorithm with a factor of 2. For the scenario where this information is unavailable, we propose a 4-approximation algorithm for both models.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnologico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

World Scientific Pub Co Pte Ltd

Subject

Computer Science Applications,Molecular Biology,Biochemistry

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