Transforming cabbage into turnip: polynomial algorithm for sorting signed permutations by reversals
Journal of the ACM (JACM)
Comparing Genomes with Duplications: A Computational Complexity Point of View
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Faster Algebraic Algorithms for Path and Packing Problems
ICALP '08 Proceedings of the 35th international colloquium on Automata, Languages and Programming, Part I
Finding paths of length k in O∗(2k) time
Information Processing Letters
The ExemplarBreakpointDistance for Non-trivial Genomes Cannot Be Approximated
WALCOM '09 Proceedings of the 3rd International Workshop on Algorithms and Computation
RECOMB-CG'07 Proceedings of the 2007 international conference on Comparative genomics
The zero exemplar distance problem
RECOMB-CG'10 Proceedings of the 2010 international conference on Comparative genomics
The approximability of the exemplar breakpoint distance problem
AAIM'06 Proceedings of the Second international conference on Algorithmic Aspects in Information and Management
On the parameterized complexity of the repetition free longest common subsequence problem
Information Processing Letters
An Exact Algorithm for the Zero Exemplar Breakpoint Distance Problem
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
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The exemplar breakpoint distance problem is NP-hard. Assume two genomes have at most n genes from m gene families. We develop an O(2mnO(1)) time algorithm to compute the exemplar breakpoint distance if one of them has no repetition. We develop an O(2mm!nO(1)) time algorithm to compute the exemplar breakpoint distance between two arbitrary genomes. If one of the given genomes has at most d repetitions for each gene, the computation time of the second algorithm is only O((2d)mnO(1)). Our algorithms are based on a polynomial algebra approach which uses a multilinear monomial to represent a solution for the exemplar breakpoint distance problem.