Method and apparatus for detecting consensus motifs in data sequences

Abstract

Disclosed are a method of and system for detecting a consensus motif in a data sequence. The method comprises the steps of obtaining the data sequence, identifying potential signal (PS) segments of interest in the data sequence, and carrying out comparison and alignment processes amongst the PS segments to extract the consensus motif. Preferably, an unsupervised motif discovery process is used to identify the PS segments. More specifically, this may be done by extracting all common motifs across the sequence using the unsupervised motif discovery process; and for each of at least selected positions in the sequence, computing the weighted sum of the common motifs that cover said position. The PS segments that cover the positions where said number is above a given threshold may then be identified as the PS segments.

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