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