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Twist-DNA: computing base-pair and bubble opening probabilities in genomic superhelical DNA
1Laboratoire de Physique, Ecole Normale Supérieure de Lyon, CNRS UMR 5672, 69007 Lyon, France.
Bioinformatics (Oxford, England)
|July 19, 2013
Summary
This study introduces a new program to predict DNA double helix opening. The tool identifies superhelically destabilized regions in genomic DNA, crucial for biological processes.
Area of Science:
- Genomics
- Molecular Biology
- Biophysics
Background:
- DNA double helix opening is essential for numerous biological processes.
- In vivo DNA superhelicity, controlled by protein machinery, influences DNA opening.
- Superhelical destabilization sites correlate with genomic regulatory regions.
Purpose of the Study:
- To develop a computational tool for predicting DNA double helix opening.
- To identify regions of superhelically destabilized DNA in the genome.
- To facilitate comparison of DNA opening properties with other genomic datasets.
Main Methods:
- Developed a program based on a thermodynamic model of superhelical DNA (Benham model).
- Employs a self-consistent linearization approach for efficient computation.
- Calculates base-pair and bubble opening probabilities in genomic DNA.
Main Results:
- Successfully predicted locations of superhelically destabilized regions in genomic DNA.
- The program efficiently computes DNA opening probabilities.
- Results can be visualized in standard genome browsers.
Conclusions:
- Local DNA double helix opening is a key aspect of fundamental biological processes.
- Superhelicity, modulated by protein machinery, controls DNA opening.
- The developed program aids in understanding genomic regulatory site organization through DNA opening properties.
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