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Annual Symposium on Combinatorial Pattern Matching

CPM 1997: Combinatorial Pattern Matching pp 167–179Cite as

On incremental computation of transitive closure and greedy alignment

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1264))

Abstract

Several algorithms based on heuristics have been proposed for the multiple alignment of sequences. The most efficient in time computation are often greedy algorithms. At each step a greedy alignment algorithm must know if two characters are alignable or not, regarding to the characters definitely aligned before. We show that this problem is reducible to find paths in a directed graph. We give an incremental algorithm that maintains the transitive closure of a graph for which we know a spanning set of k disjoined paths. Our algorithm maintains the transitive closure of a graph of n vertices and m edges (in the final state) in O(k 2 m+n minm, n) time and O(kn) space. We show that this algorithm can be used by any greedy alignment algorithm to know in constant time if two characters are alignable or not, by maintaining the transitive closure of an alignment graph in O(k 2 n+n 2) time and O(kn) space, for k sequences whose total length is n. As an example of application we have implemented TwoAlign a efficient multiple alignment program based on greedy computation of pairwise local alignments.

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Authors and Affiliations

  1. BGBP - UMR CNRS 5558, Université Claude Bernard (LYON 1), 43, Bd. du 11 Novembre 1918, 69622, Villeurbanne Cedex, France

    Saïd Abdeddaïm

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  1. Saïd Abdeddaïm
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Alberto Apostolico Jotun Hein

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© 1997 Springer-Verlag Berlin Heidelberg

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Abdeddaïm, S. (1997). On incremental computation of transitive closure and greedy alignment. In: Apostolico, A., Hein, J. (eds) Combinatorial Pattern Matching. CPM 1997. Lecture Notes in Computer Science, vol 1264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63220-4_58

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  • DOI: https://doi.org/10.1007/3-540-63220-4_58

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63220-7

  • Online ISBN: 978-3-540-69214-0

  • eBook Packages: Springer Book Archive

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