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Titlebook: Combinatorial Pattern Matching; 16th Annual Symposiu Alberto Apostolico,Maxime Crochemore,Kunsoo Park Conference proceedings 2005 Springer-

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An Efficient Algorithm for Generating Super Condensed Neighborhoods,ondensed neighborhoods are not a minimal representation of a pattern neighborhood. We show that we can restrict our attention to super condensed neighborhoods which are minimal. We then present an algorithm for generating Super Condensed Neighborhoods. The algorithm runs in .(.⌈ . / . ⌉ .), where .
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Using PQ Trees for Comparative Genomics,attern was introduced in [12]. In this paper, we present a new tool for representation and detection of gene clusters in multiple genomes, using PQ trees [6]: this describes the inner structure and the relations between clusters succinctly, aids in filtering meaningful from apparently meaningless cl
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Hardness of Optimal Spaced Seed Design,ation algorithms, in which text regions dissimilar to the pattern are excluded (filtered out) in a first step, and remaining regions are compared to the pattern by dynamic programming in a second step. Among the necessary conditions used to test similarity between the regions and the pattern, many r
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On the Complexity of Sparse Exon Assembly,, was introduced by Gelfand, Mironov and Pevzner [5]. The method works by finding a set of blocks in a source genomic sequence . whose concatenation (splicing) fits a target gene . belonging to a homologous species. Let .,. and the candidate exons be sequences of size .(.). The innovative algorithm
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An Upper Bound on the Hardness of Exact Matrix Based Motif Discovery,l known as a score matrix. Matrix based motif discovery has been extensively studied but no positive results have been known regarding its theoretical hardness. We present the first non-trivial upper bound on the complexity (worst-case computation time) of this problem. Other than linear terms, our
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