TADpole
TADpole identifies and analyzes the hierarchical organization of topologically associating domains (TADs) within intra-chromosomal interaction matrices derived from Chromosome Conformation Capture (3C)-based techniques.
Key Features:
- Hierarchical TAD identification: Detects entire nested hierarchies of TADs rather than treating domains as isolated units.
- Input data: Operates on intra-chromosomal interaction matrices derived from Chromosome Conformation Capture (3C)-based techniques, including Capture Hi-C.
- Algorithms: Employs principal component analysis (PCA) combined with constrained hierarchical clustering to delineate significant levels of chromatin organization.
- Boundary enrichment detection: Identifies domain borders enriched for CTCF, components of the cohesin complex, and the histone mark H3K4me3.
- Functional state discrimination: Distinguishes activation states within domain bodies that are differentially enriched for H3K36me3 or H3K27me3.
- Robustness: Demonstrates robustness across data resolutions, normalization strategies, and sequencing depths.
- DiffT metric: Computes a DiffT score to detect significant topological differences between wild-type and genetically engineered organisms (e.g., mice) using Capture Hi-C maps.
Scientific Applications:
- Hierarchical chromatin architecture analysis: Map nested TAD organization in genomic regions from 3C-based interaction maps.
- TAD boundary characterization: Identify domain borders associated with architectural proteins (CTCF, cohesin) and the promoter-associated mark H3K4me3.
- Epigenetic state profiling within TADs: Differentiate domain bodies enriched for H3K36me3 versus H3K27me3 to infer activation or repression states.
- Comparative topology analysis: Detect topological differences between wild-type and genetically engineered organisms (e.g., mice) using the DiffT score on Capture Hi-C data.
Methodology:
Applies principal component analysis (PCA) followed by constrained hierarchical clustering to delineate TAD hierarchies and computes a DiffT score on Capture Hi-C maps to detect significant topological differences.
Topics
Details
- License:
- LGPL-3.0
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 2/25/2021
Operations
Publications
Soler-Vila P, Cuscó P, Farabella I, Di Stefano M, Marti-Renom MA. Hierarchical chromatin organization detected by TADpole. Nucleic Acids Research. 2020;48(7):e39-e39. doi:10.1093/nar/gkaa087. PMID:32083658. PMCID:PMC7144900.