HiBrowser

HiBrowser visualizes and analyzes high-throughput chromatin conformation capture (Hi-C) data and associated genetic and epigenetic annotations to enable exploration of higher-order chromatin structures and genomic interactions.

Key Features:

• Flexible Multi-Omics Navigation: Integrates various omics data types to provide a unified view of genetic and epigenetic landscapes alongside Hi-C data.
• Multidimensional Synchronization Comparisons: Enables synchronized comparison of genome coordinate positions or identical regions across multiple samples for cross-sample analyses such as normal versus tumor or pan genomes from different species.
• Dynamic Interaction System: Supports dynamic reconstruction of custom annotation tracks during runtime.
• Clone Mode Visualization: Displays genomic regions synchronously across multiple samples to facilitate visual comparison of chromatin interactions.
• Precise Search and Navigation: Provides pluralistic search for distal cis-regulatory elements and precise navigation within Hi-C heatmaps based on search results.
• Large-scale Hi-C dataset handling: Supports handling of large-scale Hi-C datasets and integration with other omics data types.

Scientific Applications:

• Pathological variation analysis: Investigates pathological implications of genetic and epigenetic variations at chromosomal and gene levels.
• Comparative chromatin interaction studies: Compares chromatin interactions across samples, including normal versus tumor tissues and pan genomes from different species.
• Integrative regulatory mechanism studies: Integrates Hi-C with genetic and epigenetic annotations to elucidate complex regulatory mechanisms underlying biological processes and disease.

Methodology:

Leverages advanced web technologies and dynamically reconstructs annotation tracks at runtime to enable interactive exploration of Hi-C heatmaps and synchronized multi-sample comparisons.