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cis element/transcription factor analysis (cis/TF): a method for discovering transcription factor/cis element
K Birnbaum1, P N Benfey, D E Shasha
1Department of Biology, New York University, New York, New York 10003, USA.
Genome Research
|September 7, 2001
Summary
A new algorithm, cis/TF, identifies transcription factor binding sites by correlating transcription factor expression with gene expression patterns. This method focuses on binding sites, successfully identifying relationships in yeast data.
Area of Science:
- Computational Biology
- Genomics
- Molecular Biology
Background:
- Identifying transcription factor (TF) binding sites is crucial for understanding gene regulation.
- Previous computational methods often rely on gene expression clustering and subsequence analysis in promoter regions.
Purpose of the Study:
- To introduce a novel algorithm, cis/TF, for matching transcription factors to their genomewide binding sites.
- To develop a method that focuses on binding sites rather than individual genes.
Main Methods:
- The cis/TF algorithm utilizes genomewide expression data and genomic sequence information.
- It correlates the expression pattern of a transcription factor with the composite expression patterns of all genes containing a potential binding site.
- This approach differs from methods that cluster genes with similar expression patterns.
Main Results:
- The cis/TF algorithm successfully identified experimentally-supported transcription factor binding relationships.
- Validation was performed on several datasets from Saccharomyces cerevisiae (yeast).
Conclusions:
- The cis/TF algorithm offers a simple yet effective approach to identify transcription factor binding sites.
- Focusing on binding sites provides a new perspective for computational prediction in genomics.