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https://dx.doi.org/10.48550/ar...
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An algebraic model for inversion and deletion in bacterial genome rearrangement

Authors: Clark, C; Jonušas, J; Mitchell, JD; Francis, A;

An algebraic model for inversion and deletion in bacterial genome rearrangement

Abstract

AbstractInversions, also sometimes called reversals, are a major contributor to variation among bacterial genomes, with studies suggesting that those involving small numbers of regions are more likely than larger inversions. Deletions may arise in bacterial genomes through the same biological mechanism as inversions, and hence a model that incorporates both is desirable. However, while inversion distances between genomes have been well studied, there has yet to be a model which accounts for the combination of both deletions and inversions. To account for both of these operations, we introduce an algebraic model that utilises partial permutations. This leads to an algorithm for calculating the minimum distance to the most recent common ancestor of two bacterial genomes evolving by inversions (of adjacent regions) and deletions. The algebraic model makes the existing short inversion models more complete and realistic by including deletions, and also introduces new algebraic tools into evolutionary distance problems.

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Keywords

570, 610, QH426 Genetics, anzsrc-for: 49 Mathematical sciences, Article, 510, Deletion, 3102 Bioinformatics and Computational Biology, XXXXXX - Unknown, FOS: Mathematics, Humans, 20M20, 92D15, 20M05, anzsrc-for: 31 Biological Sciences, QH426, Bacterial genomics, Phylogeny, MCC, Gene Rearrangement, Partial permutation, Genome, Distance, anzsrc-for: 01 Mathematical Sciences, Bacterial, Inversion, Mathematics - Rings and Algebras, Biological Evolution, 004, Phylogenetics, Infectious Diseases, Rings and Algebras (math.RA), Chromosome Inversion, anzsrc-for: 06 Biological Sciences, T-DAS, anzsrc-for: 3102 Bioinformatics and Computational Biology, Algorithms, Genome, Bacterial, 31 Biological Sciences

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
hybrid