Scholarly Work - Computer Science
Permanent URI for this collectionhttps://scholarworks.montana.edu/handle/1/3034
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Item Permutation-constrained Common String Partitions with Applications(Springer Science and Business Media LLC, 2024-09) Lafond, Manuel; Zhu, BinhaiWe 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.