IEEE Fellow
AAAS Fellow
Professor
College of Computing
Georgia Tech
Atlanta, GA 30332

# A Linear-Time Algorithm for Computing Inversion Distance Between Signed Permutations with an Experimental Study

Hannenhalli and Pevzner gave the first polynomial-time algorithm for computing the inversion distance between two signed permutations, as part of the larger task of determining the shortest sequence of inversions needed to transform one permutation into the other. Their algorithm (restricted to distance calculation) proceeds in two stages: in the first stage, the overlap graph induced by the permutation is decomposed into connected components, then in the second stage certain graph structures (hurdles and others) are identified. Berman and Hannenhalli avoided the explicit computation of the overlap graph and gave an $O(n\alpha (n))$ algorithm, based on a Union-Find structure, to find its connected components, where $\alpha$ is the inverse Ackerman function. Since for all practical purposes $\alpha(n)$ is a constant no larger than four, this algorithm has been the fastest practical algorithm to date. In this paper, we present a new linear-time algorithm for computing the connected components, which is more efficient than that of Berman and Hannenhalli in both theory and practice. Our algorithm uses only a stack and is very easy to implement. We give the results of computational experiments over a large range of permutation pairs produced through simulated evolution; our experiments show a speed-up by a factor of 2 to 5 in the computation of the connected components and by a factor of 1.3 to 2 in the overall distance computation.

## Publication History

1. D.A. Bader, B.M.E. Moret, and M. Yan, A Linear-Time Algorithm for Computing Inversion Distance Between Signed Permutations with an Experimental Study,'' Journal of Computational Biology, 8(5):483-491, 2001.
2. D.A. Bader, B.M.E. Moret, M. Yan, A Linear-Time Algorithm for Computing Inversion Distance Between Signed Permutations with an Experimental Study,'' presented at the Seventh International Workshop on Algorithms and Data Structures (WADS2001), F. Dehne, J.-R. Sack, and R. Tamassia (eds.), Springer-Verlag LNCS 2125, 365-376, Brown University, Providence, RI, August 2001.
The code accompanying this paper can be found here: GRAPPA-1.01.tar.gz

Last updated: July 25, 2004

Computational Biology

Parallel Computing

Combinatorics