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EXMOTIF: efficient structured motif extraction

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Author(s): Zhang Yongqiang | Zaki Mohammed

Journal: Algorithms for Molecular Biology
ISSN 1748-7188

Volume: 1;
Issue: 1;
Start page: 21;
Date: 2006;
Original page

ABSTRACT
Abstract Background Extracting motifs from sequences is a mainstay of bioinformatics. We look at the problem of mining structured motifs, which allow variable length gaps between simple motif components. We propose an efficient algorithm, called EXMOTIF, that given some sequence(s), and a structured motif template, extracts all frequent structured motifs that have quorum q. Potential applications of our method include the extraction of single/composite regulatory binding sites in DNA sequences. Results EXMOTIF is efficient in terms of both time and space and is shown empirically to outperform RISO, a state-of-the-art algorithm. It is also successful in finding potential single/composite transcription factor binding sites. Conclusion EXMOTIF is a useful and efficient tool in discovering structured motifs, especially in DNA sequences. The algorithm is available as open-source at: http://www.cs.rpi.edu/~zaki/software/exMotif/.
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