TADBD

TADBD detects topologically associated domain (TAD) boundaries from Hi-C contact matrices to map 3D genome architecture and support analysis of chromatin organization and gene regulation.

Key Features:

• Haar-Based Algorithm: Employs a Haar-based algorithm using a Haar diagonal template to pinpoint domain boundaries on Hi-C contact matrices.
• Compact Integrogram Acceleration: Uses a compact integrogram to accelerate computations without compromising accuracy on large datasets.
• Multi-Scale Aggregation: Performs multi-scale aggregation across various template sizes to capture boundaries at different genomic resolutions.
• Statistical Filtering: Applies statistical filtering to refine detections and minimize false positives.

Scientific Applications:

• 3D Genome Architecture Analysis: Identification of TAD boundaries to characterize three-dimensional genome organization.
• Chromatin Organization and Gene Regulation: Investigation of how TAD boundaries influence chromatin structure and gene regulatory interactions.
• Epigenetic Studies: Correlation of TAD boundary positions with epigenetic modifications.
• Disease Mechanism Research: Analysis of boundary alterations associated with genomic structural variations implicated in disease.

Methodology:

Computational steps include Haar-based transformations using a Haar diagonal template, acceleration via a compact integrogram, multi-scale aggregation at multiple template sizes, and statistical filtering.