h4HiChIP-Peaks
h4HiChIP-Peaks identifies enriched peaks in HiChIP datasets using a re-ligation site representation to enable robust loop-anchor detection and quantitative comparison of peaks across samples.
Key Features:
- Re-ligation site-based peak identification: Represents HiChIP data by re-ligation sites to improve reliability and recall of peak detection, including at reduced sequencing depth and with lower false discovery rates.
- Enhanced loop-anchor detection: Uses identified peaks as robust anchors for downstream loop calling tools to improve chromatin looping discovery.
- Quantitative cross-sample comparison: Counts reads mapping to peaks across samples to enable differential peak analysis.
Scientific Applications:
- Chromatin architecture and gene regulation: Supports analysis of 3D chromatin organization and regulatory interactions from HiChIP data.
- Chromatin looping studies: Improves detection of loop anchors for investigations of looping mechanisms.
- Differential peak comparison: Enables quantitative comparison of peak enrichment between samples or experimental conditions.
Methodology:
Represents HiChIP data centered on re-ligation sites for peak identification, uses identified peaks as anchors for downstream loop calling tools, and performs read counting over peaks across samples to facilitate differential analysis.
Topics
Details
- License:
- BSD-3-Clause
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 1/30/2021
Operations
Publications
Shi C, Rattray M, Orozco G. HiChIP-Peaks: a HiChIP peak calling algorithm. Bioinformatics. 2020;36(12):3625-3631. doi:10.1093/bioinformatics/btaa202. PMID:32207529. PMCID:PMC7320601.
PMID: 32207529
PMCID: PMC7320601
Funding: - Wellcome Trust: 207491/Z/17/Z, 215207/Z/19/Z
- Versus Arthritis: 21754
- Medical Research Council: MR/N00017X/1