Approximating discrete collections via local improvements
Proceedings of the sixth annual ACM-SIAM symposium on Discrete algorithms
To cut…or not to cut (applications of comparative physical maps in molecular evolution)
Proceedings of the seventh annual ACM-SIAM symposium on Discrete algorithms
Approximating maximum independent set in bounded degree graphs
SODA '94 Proceedings of the fifth annual ACM-SIAM symposium on Discrete algorithms
A 3/2-approximation algorithm for sorting by reversals
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Genome Rearrangements and Sorting by Reversals
SIAM Journal on Computing
Estimating true evolutionary distances under the DCJ model
Bioinformatics
Genome rearrangements and sorting by reversals
SFCS '93 Proceedings of the 1993 IEEE 34th Annual Foundations of Computer Science
A unifying view of genome rearrangements
WABI'06 Proceedings of the 6th international conference on Algorithms in Bioinformatics
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The problem of sorting permutations by double-cut-and-joins (SBD) arises when we perform the double-cut-and-join (DCJ) operations on pairs of unichromosomal genomes without the gene strandedness information. In this paper we show it is a NP-hard problem by reduction to an equivalent previously-known problem, called breakpoint graph decomposition (BGD), which calls for a largest collection of edge-disjoint alternating cycles in a breakpoint graph. To obtain a better approximation algorithm for the SBD problem, we made a suitable modification to Lin and Jiang's algorithm which was initially proposed to approximate the BGD problem, and then carried out a rigorous performance analysis via fractional linear programming. The approximation ratio thus achieved for the SBD problem is 17/12 + ε ≅ 1.4167 + ε, for any positive ε.