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Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
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Quantification of DNA cleavage specificity in Hi-C experiments
1Department of NanoEngineering, University of California San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA.
Nucleic Acids Research
|August 13, 2015
Summary
This study introduces a computational method to quantify non-specific DNA cleavage in Hi-C experiments. This helps in simulating realistic data for analysis validation and understanding experimental reproducibility.
Area of Science:
- Genomics
- Molecular Biology
- Computational Biology
Background:
- Hi-C experiments map genome-wide interactions using DNA cleavage.
- Non-specific cleavage events can occur, impacting data accuracy.
- Quantifying these events is crucial for robust analysis and reproducibility.
Purpose of the Study:
- To develop a computational method for estimating non-specific DNA cleavage fractions in Hi-C data.
- To enable more accurate simulation of Hi-C read pairs.
- To assess experimental variability and biophysical properties.
Main Methods:
- Developed a computational approach to analyze Hi-C read pairs.
- Modeled local target distributions as linear combinations of known distributions.
- Validated the method using simulated Hi-C data.
Main Results:
- Successfully estimated fractions of cleavages at various target sites.
- Demonstrated method's validity with simulated data.
- Observed similarities and differences in cleavage patterns across experimental Hi-C datasets from murine cells.
Conclusions:
- The developed method provides a quantitative estimation of non-specific DNA cleavage in Hi-C experiments.
- This facilitates improved data simulation, quality control, and biological insights.
- The findings highlight the importance of accounting for cleavage variability in Hi-C analyses.
