On an Algorithm for Sorting by Strip Swaps Using Cycle Graphs

The mathematics of genome rearrangements is significantly more complex compared to mutations. However, the study of genome rearrangements is of great interest to computational biologists, comparative genomicists, and phylogenists. Genome rearrangements are modeled using a variety of primitives, including block (strip) moves, block interchanges, reversals, and transpositions. The present study is an extension of previous work on a primitive known as the strip swap, a variant of the block interchange. A 2-approximation algorithm for sorting by strip swaps using cycle graphs previously reported in the literature fails under certain circumstances, and the current study provides a solution for those instances and improves upon the previous algorithm.

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Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/bibm62325.2024.10822561
Primary Topic
DNA and Biological Computing
Type
article
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article

On an Algorithm for Sorting by Strip Swaps Using Cycle Graphs

Swapnoneel Roy, Asai Asaithambi, Harsh Bhakaria
DNA and Biological Computing
article

On an Algorithm for Sorting by Strip Swaps Using Cycle Graphs

Swapnoneel Roy, Asai Asaithambi, Harsh Bhakaria
article en

Abstract

The mathematics of genome rearrangements is significantly more complex compared to mutations. However, the study of genome rearrangements is of great interest to computational biologists, comparative genomicists, and phylogenists. Genome rearrangements are modeled using a variety of primitives, including block (strip) moves, block interchanges, reversals, and transpositions. The present study is an extension of previous work on a primitive known as the strip swap, a variant of the block interchange. A 2-approximation algorithm for sorting by strip swaps using cycle graphs previously reported in the literature fails under certain circumstances, and the current study provides a solution for those instances and improves upon the previous algorithm.

University of North Florida (US), Florida Polytechnic University (US)
Openalex Percentile: Top 78%
DNA and Biological Computing
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