Permutation-constrained Common String Partitions with Applications
Date
2024-09
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Springer Science and Business Media LLC
Abstract
We study a new combinatorial problem based on the famous Minimum Common String Partition (MCSP) problem, which we call Permutation-constrained Common String Partition (PCSP for short). In PCSP, we are given two sequences/genomes s and t with the same length and a permutation π on [`], the question is to decide whether it is possible to decompose s and t into ` blocks that can be matched according to some specified requirements, and that conform with the permutation π. Our main result is that PCSP is FPT in parameter ` + d, where d is the maximum number of occurrences that any symbol may have in s or t. We also study a variant where the input specifies whether each matched pair of block needs to be preserved as is, or reversed. With this result on PCSP, we show that a series of genome rearrangement problems are FPT k + d, where k is the rearrangement distance between two genomes of interest.
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String Matching, Theory of computation, Approximate Matching, Membrane Computing, Molecular Computation, Data Structures
Citation
Lafond, M., Zhu, B. Permutation-constrained Common String Partitions with Applications. Algorithmica 86, 3684–3718 (2024). https://doi.org/10.1007/s00453-024-01276-7
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Except where otherwised noted, this item's license is described as This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00453-024-01276-7