Abstract
AbstractA weighted sequence is a string in which a set of characters may appear at each position with respective probabilities of occurrence. A common task is to identify repetitive motifs in weighted sequences, with presence probability not less than a given threshold. We consider the problems of finding varieties of regularities in a weighted sequence. Based on the algorithms for computing all the repeats of every length by using an iterative partitioning technique, we also tackle the all-covers problem and all-seeds problem. Both problems can be solved in O(n 2) time.KeywordsEquivalence ClassWeighted SequenceBiological SequenceRespective ProbabilityReal FactorThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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