Transforming cabbage into turnip: polynomial algorithm for sorting signed permutations by reversals
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
SIAM Journal on Discrete Mathematics
WABI '02 Proceedings of the Second International Workshop on Algorithms in Bioinformatics
Genome Rearrangement by Reversals and Insertions/Deletions of Contiguous Segments
COM '00 Proceedings of the 11th Annual Symposium on Combinatorial Pattern Matching
Phylogenetic Reconstruction from Arbitrary Gene-Order Data
BIBE '04 Proceedings of the 4th IEEE Symposium on Bioinformatics and Bioengineering
On the tandem duplication-random loss model of genome rearrangement
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
Using median sets for inferring phylogenetic trees
Bioinformatics
Approximating the true evolutionary distance between two genomes
Journal of Experimental Algorithmics (JEA)
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A variant of the tandem duplication — random loss model of genome rearrangement
Theoretical Computer Science
Finding all sorting tandem duplication random loss operations
Journal of Discrete Algorithms
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A tandem duplication random loss (TDRL) operation duplicates a contiguous segment of genes, followed by the loss of one copy of each of the duplicated genes. Although the importance of this operation is founded by several recent biological studies, it has been investigated only rarely from a theoretical point of view. Of particular interest are sorting TDRLs which are TDRLs that, when applied to a permutation representing a genome, reduce the distance towards another given permutation. The identification of sorting genome rearrangement operations in general is a key ingredient of many algorithms for reconstructing the evolutionary history of a set of species. In this paper we present methods to compute all sorting TDRLs for two given gene orders. In addition, a closed formula for the number of sorting TDRLs is derived and further properties of sorting TDRLs are investigated. It is also shown that the theoretical findings are useful for identifying unique sorting TDRL scenarios for mitochondrial gene orders.