Sorting Permutations by Limited-Size Operations

• Published in: Algorithms for Computational Biology pp. 76 - 87
• Main Authors: Miranda, Guilherme Henrique Santos, Lintzmayer, Carla Negri, Dias, Zanoni
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing 2018
• Series: Lecture Notes in Computer Science
• Subjects: Computational Biology; Genome rearrangement; Reversals; Sorting permutations; Transpositions
• ISBN: 9783319919379; 3319919377
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-91938-6_7

Estimating the evolutionary distance between genomes of two organisms is a challenging task for Computational Biology. One of the most well-accepted ways to do this is to consider the size of the smallest sequence of rearrangement events required to transform one genome into another, characterizing the rearrangement distance problem. Computationally, genomes can be represented as permutations of integers and, with this, the problem can be reduced to transforming a permutation into the identity with the minimum number of operations (sorting the permutation). These operations are given by a rearrangement model and they affect segments of a genome in different ways. Among the most common models are those that allow only reversals, only transpositions, or both of them. In this paper we study sorting permutations when a restriction of biological relevance is added: the size of the rearrangements should be at most a given value $$\lambda $$ . Some results are known for $$\lambda = 2$$ and $$\lambda = 3$$ but, to the best of our knowledge, there are no results for $$\lambda > 3$$ . We consider rearrangement models that allow reversals and/or transpositions for sorting unsigned permutations given any value of $$\lambda $$ . We present approximation algorithms for 3 such problems, where the approximation factors depend on $$\lambda $$ and/or on the size of the permutations.