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
User manual
https://fan-c.readthedocs.io/en/latest/