HiCPlotter Beta

HiCPlotter visualizes Hi-C interaction matrices and integrates them with other genomic assay outputs to analyze chromatin architecture and its relationship to transcriptional regulation in metazoan genomes.

Key Features:

• Integration of Diverse Data Types: Integrates Hi-C matrices with genomic data such as transcriptional regulation markers and DNA replication sites.
• Comparative Analysis Across Conditions: Compares interaction matrices across experimental conditions to identify condition-specific changes in chromatin architecture.
• Visualization of Multi-faceted Structures: Overlays Hi-C contact maps with signals from regulators of pluripotency, long non-coding RNAs, and architectural proteins to visualize chromatin folding and nuclear architecture.

Scientific Applications:

• Transcriptional regulation analysis: Investigates how chromosomal structures correlate with gene expression and transcriptional regulation.
• Architectural protein and ncRNA studies: Examines the impact of architectural proteins and long non-coding RNAs on genome folding.
• Comparative chromatin interaction studies: Identifies regulatory elements by comparing chromatin interactions under different biological conditions.

Methodology:

Uses interaction matrices derived from Hi-C experiments and overlays these matrices with other genomic data types.