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Self-Overlapping Occurrences and Knuth-Morris-Pratt Algorithm for Weighted Matching

Aude Liefooghe 1, 2 Helene Touzet 1, 2 Jean-Stéphane Varré 1, 2 
2 SEQUOIA - Sequential Learning
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : Position Weight Matrices are broadly used probabilistic motif models. In this paper, we address the problem of identifying and characterizing potential overlaps between occurrences of such a motif. It has useful applications to the statistics of the number of occurrences, and to weighted pattern matching with an extension of the well-known Knuth-Morris-Pratt algorithm.
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Contributor : Jean-Stéphane Varré Connect in order to contact the contributor
Submitted on : Tuesday, March 3, 2009 - 2:11:11 PM
Last modification on : Friday, February 4, 2022 - 3:12:23 AM


  • HAL Id : inria-00365411, version 1



Aude Liefooghe, Helene Touzet, Jean-Stéphane Varré. Self-Overlapping Occurrences and Knuth-Morris-Pratt Algorithm for Weighted Matching. 3rd International Conference on Language and Automata Theory and Applications, Apr 2009, Tarragona, Spain. pp.481-492. ⟨inria-00365411⟩



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