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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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Haiyan Kang,Yaping Feng,Xiameng Siations including text processing and DNA sequence analysis. In this paper, we present a fast algorithm for approximate string matching, called FAAST. It aims at solving a popular variant of the approximate string matching problem, the ., whose objective is to find all occurrences of a short pattern
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Xiaoying Qiu,Xuan Sun,Xiameng Siondensed 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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https://doi.org/10.1007/978-3-030-49610-4attern 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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Yulin Duan,Dandan Li,Chongke Biation 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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Smart Grid and Renewable Energy Systems ., is reversible, but, differently from ., it is also surjective. The . transformation allows to give a definition of distance between two sequences, that we apply here to the problem of the whole mitochondrial genome phylogeny. Moreover we give some consideration about compressing a set of words b
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