MHiC

MHiC identifies significant chromosomal interactions from Hi-C datasets to characterize genome spatial organization.

Key Features:

• Cross-Platform Compatibility: MHiC operates on multiple operating systems.
• Support for Multiple Data Structures: Accepts Hi-C data in formats produced by HiCUP and HiC-Pro.
• Comprehensive Interaction Identification: Employs GOTHiC, HiCNorm, and Fit-Hi-C to detect statistically significant chromosomal contacts.
• Advanced Visualization Capabilities: Produces Arc and Heatmap diagrams to visualize spatial genome organization.

Scientific Applications:

• Genome spatial organization analysis: Identification of significant chromosomal interactions to elucidate three-dimensional genome architecture.
• Gene regulation and epigenetics studies: Supports analyses of gene regulation, chromosome dynamics, and epigenetic modifications via detected contacts.

Methodology:

Accepts Hi-C input formats from HiCUP and HiC-Pro and applies GOTHiC, HiCNorm, and Fit-Hi-C for interaction detection, with outputs rendered as Arc and Heatmap diagrams.