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Sorting by k-Cuts on Signed Permutations

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Comparative Genomics (RECOMB-CG 2022)

Abstract

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 \(k \ge 2\) 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 \(k=4\).

This work was supported by the National Council of Technological and Scientific Development, CNPq (grants 425340/2016-3 and 202292/2020-7), the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001, and the São Paulo Research Foundation, FAPESP (grants 2013/08293-7, 2015/11937-9, and 2019/27331-3).

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Correspondence to Andre Rodrigues Oliveira .

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Rodrigues Oliveira, A., Oliveira Alexandrino, A., Jean, G., Fertin, G., Dias, U., Dias, Z. (2022). Sorting by k-Cuts on Signed Permutations. In: Jin, L., Durand, D. (eds) Comparative Genomics. RECOMB-CG 2022. Lecture Notes in Computer Science(), vol 13234. Springer, Cham. https://doi.org/10.1007/978-3-031-06220-9_11

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  • DOI: https://doi.org/10.1007/978-3-031-06220-9_11

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