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Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
Published on: May 31, 2011
The SiteSeeker motif discovery tool
Klaus Ecker1, Jens Lichtenberg, Lonnie Welch
1Russ College of Engineering and Technology, Ohio University Athens, Ohio, USA. ecker@ohio.edu
In Silico Biology
|June 20, 2009
Summary
This study introduces a new tool for finding DNA motifs in promoter sequences. It accurately identifies gene sets with common motifs, aiding in the discovery of co-regulated genes.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Discovering motifs in promoter sequences is crucial for understanding gene regulation.
- Existing tools face challenges in identifying co-regulated genes and motifs accurately.
Purpose of the Study:
- To present a novel computational tool for motif discovery in promoter sequences.
- To introduce two functions, CHECKPROMOTER and CHECKMOTIF, for identifying related promoter subsets and common motifs.
- To evaluate the tool's performance against existing methods.
Main Methods:
- Utilizing a weighted Hamming distance paradigm for motif similarity evaluation.
- Implementing CHECKPROMOTER for exact identification of maximal promoter subsets.
- Employing CHECKMOTIF with a fast approximation algorithm and performance bounds.
Main Results:
- The tool successfully identifies maximal subsets of related promoters, aiding in the recognition of co-regulated genes.
- Performance bounds were derived for motifs found using the approximation algorithm.
- Comparative tests showed SiteSeeker significantly outperformed five other known motif discovery tools.
Conclusions:
- The developed tool offers effective solutions for motif discovery in promoter sequences.
- It provides a robust method for identifying potentially co-regulated genes.
- SiteSeeker demonstrates superior performance compared to existing tools in benchmark tests.
