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Approximation Algorithms for Sorting Permutations by Length-Weighted Short Rearrangements

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Author(s):
Alexandrino, Alexsandro Oliveira ; Santos Miranda, Guilherme Henrique ; Lintzmayer, Carla Negri ; Dias, Zanoni
Total Authors: 4
Document type: Journal article
Source: ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE; v. 346, p. 12-pg., 2019-08-30.
Abstract

Genome rearrangements are events that affect large portions of a genome. When using the rearrangement distance to compare two genomes, one wants to find a minimum cost sequence of rearrangements that transforms one into another. Since we represent genomes as permutations, we can reduce this problem to the problem of sorting a permutation with a minimum cost sequence of rearrangements. In the traditional approach, we consider that all rearrangements are equally likely to occur and we set a unitary cost for all rearrangements. However, there are two variations of the problem motivated by the observation that rearrangements involving large segments of a genome rarely occur. The first variation adds a restriction to the rearrangement's length. The second variation uses a cost function based on the rearrangement's length. In this work, we present approximation algorithms for five problems combining both variations, that is, problems with a length-limit restriction and a cost function based on the rearrangement's length. (AU)

FAPESP's process: 17/12646-3 - Déjà vu: feature-space-time coherence from heterogeneous data for media integrity analytics and interpretation of events
Grantee:Anderson de Rezende Rocha
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 15/11937-9 - Investigation of hard problems from the algorithmic and structural stand points
Grantee:Flávio Keidi Miyazawa
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 13/08293-7 - CCES - Center for Computational Engineering and Sciences
Grantee:Munir Salomao Skaf
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 17/16246-0 - Sensitive media analysis through deep learning architectures
Grantee:Sandra Eliza Fontes de Avila
Support Opportunities: Regular Research Grants
FAPESP's process: 17/16871-1 - Problems of sorting permutations by fragmentation-weighted operations
Grantee:Alexsandro Oliveira Alexandrino
Support Opportunities: Scholarships in Brazil - Master