Extracting Common Motifs under the Levenshtein Measure: Theory and Experimentation

dc.creatorAdebiyi, Ezekiel, Kaufmann, Michael
dc.date2002-10
dc.date.accessioned2025-03-29T19:21:00Z
dc.descriptionUsing our techniques for extracting approximate non-tandem repeats[1] on well constructed maximal models, we derive an algorithm to find common motifs of length P that occur in N sequences with at most D differences under the Edit distance metric. We compare the effectiveness of our algorithm with the more involved algorithm of Sagot[17] for Edit distance on some real sequences. Her method has not been implemented before for Edit distance but only for Hamming distance[12],[20]. Our resulting method turns out to be simpler and more efficient theoretically and also in practice for moderately large P and D.
dc.formatapplication/pdf
dc.identifierhttp://eprints.covenantuniversity.edu.ng/8090/
dc.identifier.urihttps://repository.covenantuniversity.edu.ng/handle/123456789/37557
dc.languageen
dc.subjectQ Science (General), QA75 Electronic computers. Computer science
dc.titleExtracting Common Motifs under the Levenshtein Measure: Theory and Experimentation
dc.typeArticle

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