Comparison of Capture Hi-C Analytical Pipelines

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• The genome's structural and functional integrity relies on organized nuclear architecture.
• Chromosome conformation capture technologies (e.g., 3C, 4C, 5C, Hi-C) enable systematic chromatin organization studies.
• Capture Hi-C (CHi-C) enhances sequencing depth for targeted genomic regions, enabling high-resolution analysis of structures like promoter-enhancer loops.

Purpose of the Study:

• To compare various analytical pipelines for Capture Hi-C (CHi-C) data.
• To evaluate the impact of multi-mapping reads on CHi-C data analysis.
• To assess the efficiency of different statistical approaches for identifying reproducible and biologically significant chromatin interactions.

Main Methods:

• Comparison of multiple computational pipelines for CHi-C data processing.
• Analysis of the effect of retaining multi-mapping reads.
• Evaluation of statistical methods for identifying chromatin contacts at restriction fragment resolution.

Main Results:

• The number of multi-mapping reads that could be recovered at the restriction fragment level was negligible.
• Significant variation in the number of identified interactions across different analytical methods was observed.
• Differences in Type I and Type II error rates were substantial between pipelines.

Conclusions:

• The choice of an optimal CHi-C analytical pipeline is contingent upon the specific project's tolerance for false positive and false negative chromatin contacts.
• Specialized computational pipelines are crucial for accurate CHi-C data analysis due to capture-induced biases.
• Careful pipeline selection is necessary to balance the identification of true biological interactions with acceptable error rates.