capC-MAP

capC-MAP analyzes Capture-C (chromosome-conformation-capture) data to produce high-resolution profiles of genome-wide chromatin interactions centered on specified target genomic locations for studying three-dimensional chromosome organization.

Key Features:

• Capture-C focus: Processes Capture-C (chromosome-conformation-capture) datasets to detect chromatin interactions centered on specified target genomic locations.
• High-resolution interaction profiling: Generates high-resolution genome-wide interaction profiles around target loci.
• Automation: Automates the computational analysis workflow for Capture-C datasets.
• Implementation: Implemented in C++ and Python.

Scientific Applications:

• Cis-regulatory and gene function analysis: Provides interaction data to investigate cis-regulation and infer gene function.
• Regulatory network and gene expression studies: Enables study of chromatin interactions that underlie regulatory networks affecting gene expression and cellular behavior.

Methodology:

Automates the computational analysis of Capture-C data and is implemented in C++ and Python.