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SMOTIF: efficient structured pattern and profile motif search.

Yongqiang Zhang1, Mohammed J Zaki

  • 1Department of Computer Science, Rensselaer Polytechnic Institute, Troy, New York 12180, USA. zhangy0@cs.rpi.edu

Algorithms for Molecular Biology : AMB
|November 23, 2006
PubMed
Summary
This summary is machine-generated.

We developed SMOTIF, an efficient algorithm for finding structured motifs in DNA sequences. This tool significantly outperforms existing methods in speed and memory usage, aiding in the discovery of elements like LTR retrotransposons.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Structured motifs are patterns with variable gaps, crucial for identifying functional elements in DNA.
  • Motifs can be represented as patterns or profiles (positional weight matrices).
  • Identifying these motifs is essential for understanding gene regulation and genome organization.

Purpose of the Study:

  • To introduce SMOTIF, an efficient algorithm for structured motif discovery.
  • To address the computational challenges in searching for motifs with variable gaps.

Main Methods:

  • Developed SMOTIF algorithm for structured motif search.
  • Algorithm handles both pattern and profile motif representations.
  • Evaluated SMOTIF's performance against existing algorithms like SMARTFINDER.

Main Results:

  • SMOTIF demonstrates superior efficiency in both time and space compared to SMARTFINDER.
  • Experimental results show SMOTIF is approximately 7x faster and uses 100x less memory.
  • Successfully identified long terminal repeat (LTR) retrotransposons and composite transcription factor binding sites.

Conclusions:

  • SMOTIF is a highly efficient and effective tool for structured motif searching.
  • The algorithm is well-suited for motifs with long-range gaps and complex structures.
  • SMOTIF is available as open-source software for broader research application.