Sorting by k-Cuts on Signed Permutations

被引:1
|
作者
Oliveira, Andre Rodrigues [1 ]
Alexandrino, Alexsandro Oliveira [1 ]
Jean, Geraldine [2 ]
Fertin, Guillaume [2 ]
Dias, Ulisses [3 ]
Dias, Zanoni [1 ]
机构
[1] Univ Estadual Campinas, Inst Comp, Campinas, Brazil
[2] Univ Nantes, UMR CNRS 6004, LS2N, Nantes, France
[3] Univ Estadual Campinas, Sch Technol, Limeira, Brazil
来源
COMPARATIVE GENOMICS (RECOMB-CG 2022) | 2022年 / 13234卷
基金
巴西圣保罗研究基金会;
关键词
Genome rearrangements; Sorting permutations; Approximation algorithms; Algorithmic complexity; MULTI-BREAK REARRANGEMENTS; TRANSPOSITIONS; ALGORITHM;
D O I
10.1007/978-3-031-06220-9_11
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Sorting by Genome Rearrangements is a classic problem in Computational Biology. Several models have been considered so far, each of them defines how a genome is modeled (for example, permutations when assuming no duplicated genes, strings if duplicated genes are allowed, and/or use of signs on each element when gene orientation is known), and which rearrangements are allowed. Recently, a new problem, called Sorting by Multi-Cut Rearrangements, was proposed. It uses the k-Cut rearrangement which cuts a permutation (or a string) at k >= 2 places and rearranges the generated blocks to obtain a new permutation (or string) of same size. This new rearrangement may model chromoanagenesis, a phenomenon consisting of massive simultaneous rearrangements. Similarly as the Double-Cut-and-Join, this new rearrangement also generalizes several genome rearrangements such as reversals, transpositions, revrevs, transreversals, and block-interchanges. In this paper, we extend a previous work based on unsigned permutations and strings to signed permutations. We show the complexity of this problem for different values of k, that the approximation algorithm proposed for unsigned permutations with any value of k can be adapted to signed permutations, and a 1.5-approximation algorithm for the specific case k = 4.
引用
收藏
页码:189 / 204
页数:16
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