Transforming cabbage into turnip: polynomial algorithm for sorting signed permutations by reversals
Journal of the ACM (JACM)
Efficient algorithms for multichromosomal genome rearrangements
Journal of Computer and System Sciences - Computational biology 2002
Inversion Medians Outperform Breakpoint Medians in Phylogeny Reconstruction from Gene-Order Data
WABI '02 Proceedings of the Second International Workshop on Algorithms in Bioinformatics
INFORMS Journal on Computing
Multichromosomal Genome Median and Halving Problems
WABI '08 Proceedings of the 8th international workshop on Algorithms in Bioinformatics
Reactive stochastic local search algorithms for the genomic median problem
EvoCOP'08 Proceedings of the 8th European conference on Evolutionary computation in combinatorial optimization
A Fast and Exact Algorithm for the Median of Three Problem--A Graph Decomposition Approach
RECOMB-CG '08 Proceedings of the international workshop on Comparative Genomics
RECOMB-CG '09 Proceedings of the International Workshop on Comparative Genomics
On exploring genome rearrangement phylogenetic patterns
RECOMB-CG'10 Proceedings of the 2010 international conference on Comparative genomics
A practical algorithm for ancestral rearrangement reconstruction
WABI'11 Proceedings of the 11th international conference on Algorithms in bioinformatics
GASTS: parsimony scoring under rearrangements
WABI'11 Proceedings of the 11th international conference on Algorithms in bioinformatics
A fast method for large-scale multichromosomal breakpoint median problems
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
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The median genome problem reduces to a search for the vertex matching in the multiple breakpoint graph (MBG) that maximizes the number of alternating colour cycles formed with the matchings representing the given genomes. We describe a class of "adequate" subgraphs of MBGs that allow a decomposition of an MBG into smaller, more easily solved graphs. We enumerate all of these graphs up to a certain size and incorporate the search for them into an exhaustive algorithm for the median problem. This enables a dramatic speedup in most randomly generated instances with hundreds or even thousands of vertices, as long as the ratio of genome rearrangements to genome size is not too large.