HiCBricks

HiCBricks provides efficient storage and analysis of large high-resolution Hi-C chromosome conformation capture datasets to support investigation of chromatin architecture and domain boundaries.

Key Features:

• Efficient Data Handling: Stores and accesses large-scale Hi-C datasets to accommodate high-throughput sequencing data.
• R/Bioconductor Framework: Implements functionality within the R/Bioconductor computational environment.
• Modular Design ("Bricks"): Exposes modular components ("bricks") that can be composed into analytical workflows.
• Domain Boundary Detection: Includes algorithms for identifying domain boundaries within chromatin interaction data.
• High-Quality Data Visualization: Provides functions to generate visualizations of Hi-C data and chromatin interactions.

Scientific Applications:

• Chromatin Architecture Analysis: Enables analysis of chromosome conformation capture data to characterize 3D genome organization and domain boundaries.
• Gene Regulation Studies: Facilitates investigation of relationships between chromatin interactions and gene regulation.
• Epigenetic Modification Studies: Supports studies linking Hi-C-derived spatial organization to epigenetic modifications.
• Nuclear Spatial Organization: Supports examination of the spatial arrangement of chromosomes within the nucleus.

Methodology:

HiCBricks uses Hierarchical Data Format (HDF) files for storing and accessing large Hi-C datasets and operates within the R/Bioconductor computational environment.