FreeHiC

FreeHiC workflow

Overview: FreeHi-C (Fragment interactions empirical estimation for fast simulation of Hi-C data) is a powerful data-driven simulator for Hi-C and other 3D proximity ligation sequencing data. Version 2.0 introduces enhanced capabilities including a spike-in module for simulating differential chromatin interactions, making it an invaluable tool for benchmarking and method development in 3D genomics.

Key Features:

  1. High-Fidelity Data Simulation:

    • Non-parametric interaction distribution estimation
    • Fragment-level interaction modeling
    • Data-driven simulation approach
    • High biological relevance
  2. Comprehensive Processing Pipeline:

    • Raw sequencing data processing
    • Fragment interaction frequency calculation
    • Contact matrix generation
    • Differential interaction simulation
  3. Performance Optimization:

    • C/C++ accelerated computing
    • Parallel processing support
    • Memory-efficient implementation
    • Docker container support
  4. Flexible Analysis Options:

    • Multiple input format support
    • Customizable simulation parameters
    • Integration with downstream analysis
    • Extensive quality control

Applications: FreeHiC has been successfully applied to:

  • Benchmark Hi-C analysis methods
  • Power analysis through data augmentation
  • False discovery rate control
  • Method development and validation
  • Differential interaction studies

The package is implemented in Python with C/C++ acceleration for computationally intensive components, providing comprehensive documentation and tutorials to support researchers in the fields of genomics and chromatin biology.

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Ye Zheng
Ye Zheng
Assistant Professor, PI

Research interests include Multi-omics, Statistical Modeling, Computational Biology, Cancer Research