3DeFDR
3DeFDR identifies and classifies cell type-specific chromatin looping interactions across biological conditions using high-resolution Chromosome Conformation Capture data from 5C and Hi-C experiments.
Key Features:
- Statistical Framework: Applies a statistical framework to detect dynamic chromatin looping interactions specific to particular cell types from high-resolution chromatin conformation datasets.
- 5C and Hi-C Data Compatibility: Analyzes chromatin interaction data generated by 5C (Chromosome Conformation Capture Carbon Copy) and Hi-C technologies to characterize three-dimensional genome architecture.
- Dynamic Loop Classification: Classifies chromatin loops that change across multiple biological conditions, including developmental stages, genetic perturbations, drug treatments, and disease states.
Scientific Applications:
- Developmental Biology: Identifies chromatin loop changes across developmental stages to investigate gene regulatory mechanisms underlying cellular differentiation.
- Genetic Perturbation Analysis: Characterizes the effects of genetic modifications on three-dimensional chromatin architecture and long-range genomic interactions.
- Drug Response Studies: Detects alterations in chromatin looping patterns associated with drug treatments to investigate genome-level regulatory responses.
- Disease Genomics: Identifies condition-specific chromatin looping alterations associated with disease states, including cancer.
Methodology:
3DeFDR applies a statistical framework to analyze high-resolution chromatin conformation interaction matrices derived from 5C and Hi-C experiments to detect and classify dynamic chromatin loops across biological conditions.
Topics
Details
- License:
- MIT
- Tool Type:
- library
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 1/19/2021
Operations
Publications
Fernandez LR, Gilgenast TG, Phillips-Cremins JE. 3DeFDR: statistical methods for identifying cell type-specific looping interactions in 5C and Hi-C data. Genome Biology. 2020;21(1). doi:10.1186/s13059-020-02061-9. PMID:32859248. PMCID:PMC7496221.
PMID: 32859248
PMCID: PMC7496221
Funding: - New York Stem Cell Foundation: NA
- Alfred P. Sloan Foundation: NA
- NIH Office of the Director: 1DP2MH11024701, 1U01HL12999801
- National Science Foundation: 1562665, DGE-1321851
- National Institute of Biomedical Imaging and Bioengineering: 5T32HL007954-18
- National Institute of Neurological Disorders and Stroke: R01NS114226