FAN-C

FAN-C analyzes Hi-C and chromosome conformation capture data to generate and process chromatin interaction matrices for studying three-dimensional genome architecture.


Key Features:

  • Matrix generation: Constructs interaction matrices representing chromosomal contacts from Hi-C data.
  • Analysis functions: Provides analysis capabilities tailored to C-like data for processing and interpreting contact matrices.
  • Visualization capabilities: Produces visual representations of interaction matrices to support interpretation of chromatin contacts.
  • Support for Hi-C storage formats: Maintains compatibility with prevalent Hi-C storage formats to enable use of existing data files.
  • Interoperability: Enables integration with other Hi-C analysis tools via format compatibility.

Scientific Applications:

  • Chromosome spatial organization: Analysis of the spatial organization of chromosomes within the nucleus using Hi-C data.
  • Chromatin interaction studies: Identification and interpretation of chromatin interactions relevant to gene regulation, genome stability, and cellular function.
  • 3D genome architecture: Generation of detailed interaction matrices necessary for studying three-dimensional genome architecture.

Methodology:

Starts from mapped paired-end sequencing reads from Hi-C experiments, performs matrix generation to construct interaction matrices, and provides subsequent analysis and visualization of those matrices.

Topics

Details

License:
GPL-3.0
Tool Type:
workflow
Programming Languages:
Python
Added:
1/18/2021
Last Updated:
3/10/2021

Operations

Publications

Kruse K, Hug CB, Vaquerizas JM. FAN-C: A Feature-rich Framework for the Analysis and Visualisation of C data. Unknown Journal. 2020. doi:10.1101/2020.02.03.932517.

Documentation