HSA

HSA infers genome-scale three-dimensional chromatin structures from Hi-C contact maps to characterize spatial genome organization.

Key Features:

• Joint Analysis Capability: Concurrently analyzes multiple genome-wide Hi-C contact maps to infer comprehensive 3D chromatin structures.
• Latent Structure Exploration: Employs a global search strategy to uncover latent structural patterns underlying cleavage footprints in contact data.
• Robustness and Accuracy: Demonstrates superior robustness and accuracy supported by extensive simulations and validations through orthogonal experimental methods.
• Cross-Cell Type Consistency: Applied to recent in situ Hi-C data, reveals conservation of 3D chromatin structures across different human cell types.

Scientific Applications:

• Genome architecture analysis: Reconstructs genome-scale chromosomal interactions to map three-dimensional chromatin organization.
• Gene regulation studies: Links Hi-C contact patterns to regulatory interactions relevant to transcriptional control.
• Development and differentiation: Compares 3D chromatin structures across cell types to study changes during cellular differentiation.
• Disease mechanism investigation: Enables analysis of altered chromatin conformation associated with disease mechanisms.

Methodology:

Integrates multiple Hi-C contact maps, employs a global search strategy to infer latent structural patterns underlying cleavage footprints, and uses extensive simulations for performance evaluation.