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CLARE: Cracking the LAnguage of Regulatory Elements.
Leila Taher1, Leelavati Narlikar, Ivan Ovcharenko
1Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MA 20894, USA. taherl@ncbi.nlm.nih.gov
Bioinformatics (Oxford, England)
|December 27, 2011
Summary
CLARE is a new computational method that deciphers sequence patterns in tissue-specific regulatory elements. It identifies novel elements and predicts transcription factor binding for understanding gene regulation.
Area of Science:
- Genomics
- Computational Biology
- Molecular Biology
Background:
- Tissue-specific gene regulation is crucial for development and function.
- Identifying regulatory elements and their associated transcription factors is challenging.
Purpose of the Study:
- To introduce CLARE, a computational method for discovering tissue-specific regulatory elements.
- To enable prediction of transcription factor binding sites within these elements.
Main Methods:
- CLARE learns sequence codes from known active regulatory elements.
- It builds predictive models based on element-specific features.
- The method analyzes transcription factor binding probabilities.
Main Results:
- CLARE identifies novel candidate regulatory elements in user-supplied genomic regions.
- It provides insights into the transcription factors likely to bind to these elements.
- The tool facilitates understanding of tissue-specific gene regulation mechanisms.
Conclusions:
- CLARE is a valuable tool for uncovering regulatory sequences and understanding gene expression.
- It aids in the identification of transcription factor binding sites.
- The method advances research in tissue-specific gene regulation.
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