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A comparative study on computational two-block motif detection: algorithms and applications.

Chengpeng Bi1, J Steven Leeder, Carrie A Vyhlidal

  • 1Bioinformatics and Intelligent Computing, Division of Clinical Pharmacology and Toxicology, Children's Mercy Hospitals and Clinics, 2401 Gillham Road, Kansas City, Missouri 64108, USA. cbi@cmh.edu

Molecular Pharmaceutics
|December 14, 2007
PubMed
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This study presents a general method for discovering two-block motifs, crucial for understanding genomic functional elements and cis-regulatory elements in the human genome. It compares greedy local search and Gibbs sampling algorithms for motif discovery, applying them to nuclear receptor binding sites.

Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Cataloging genomic functional elements, especially cis-regulatory elements, remains a significant challenge post-human genome sequencing.
  • Understanding these elements is crucial for deciphering gene regulation and biological function.

Purpose of the Study:

  • To review and formulate a general method for two-block motif discovery in genomic sequences.
  • To compare the performance of greedy local search and Gibbs sampling algorithms for this task.
  • To apply these methods to identify human nuclear receptor response elements.

Main Methods:

  • Review of existing methods including mathematical modeling, de novo motif finding via multiple local alignment, and genomic sequence scanning.
  • Formulation of a general computational framework for two-block motif discovery.

Related Experiment Videos

  • Comparative analysis of greedy local search and Gibbs sampling algorithms.
  • Application to identify protein binding sites for nuclear receptors like HNF4alpha, CAR/RXR, and PXR/RXR.

    • Main Results:

    • A generalized approach for two-block motif discovery is presented.
    • Comparative performance insights are provided for greedy local search and Gibbs sampling algorithms.
    • Successful application of the methods to identify specific human nuclear receptor binding sites.

    Conclusions:

    • The developed suite of methods offers a robust approach to tackle the challenge of two-block motif discovery.
    • This work contributes to a better understanding of cis-regulatory elements and their role in gene regulation.
    • The findings facilitate the identification of functional genomic elements, aiding further research in human genomics.