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Updated: Jul 9, 2026
07:55
Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
Published on: May 31, 2011
A survey of DNA motif finding algorithms
1Computer Science Department, Oklahoma State University, Stillwater, Oklahoma 74078, USA. mkdas@email.arizona.edu
BMC Bioinformatics
|December 6, 2007
Summary
Identifying transcription factor binding sites, or motifs, in deoxyribonucleic acid (DNA) is crucial for understanding gene regulation. Computational motif finding algorithms have advanced significantly, but performance varies across organisms.
Area of Science:
- Genomics
- Computational Biology
- Molecular Biology
Background:
- Understanding gene expression regulation is a key biological challenge.
- Identifying transcription factor binding sites (motifs) in DNA is essential for this.
- Advances in genomics and gene expression technologies have spurred computational motif finding methods.
Purpose of the Study:
- To review recent developments in DNA motif finding algorithms.
- To survey computational approaches for identifying regulatory elements in DNA.
Main Methods:
- Review of existing literature on DNA motif finding algorithms.
- Analysis of algorithms utilizing promoter sequences, phylogenetic footprinting, and integrated approaches.
Main Results:
- Numerous motif finding algorithms have been developed and applied.
- Algorithms can detect known motifs and discover novel ones.
- Performance is generally good in lower organisms but significantly worse in higher organisms.
Conclusions:
- DNA motif finding remains a complex challenge despite progress.
- Diverse algorithms and models exist, making tool comparison difficult.
- Incomplete biological understanding hinders adequate algorithm evaluation.
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