Peaksat
Peaksat estimates optimal sequencing depth for peak saturation in ChIP-seq and other sequence-enrichment assays (CUT&RUN, ATAC-seq) by analyzing peak saturation curves to inform experimental design and quality control, and is implemented as an R package.
Key Features:
- R package implementation: Provided as an R package for programmatic analysis of sequencing data.
- Target read depth estimation: Provides estimates of target read depth required for epigenomic experiments by analyzing peak saturation curves.
- Cross-method applicability: Applies peak saturation analysis to ChIP-seq and other sequence-enrichment methods including CUT&RUN and ATAC-seq.
- Per-library optimization guidance: Estimates required reads per library and indicates how many additional reads may be necessary when current data are insufficient.
Scientific Applications:
- ChIP-seq histone modification studies: Establishes distinctive read depth requirements for ChIP-seq of histone modifications across different cell lines.
- Sequence-enrichment assay planning: Informs sequencing strategy and depth decisions for CUT&RUN and ATAC-seq experiments.
Methodology:
Analyzes peak saturation curves derived from ChIP-seq and other sequence-enrichment data and assesses those curves to estimate the sequencing depth required to achieve comprehensive peak detection.
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 3/28/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Boyd JR, Gao C, Quinn K, Fritz A, Stein J, Stein G, Glass K, Frietze S. peaksat: an R package for ChIP-seq peak saturation analysis. BMC Genomics. 2023;24(1). doi:10.1186/s12864-023-09109-7. PMID:36698077. PMCID:PMC9878872.
PMID: 36698077
PMCID: PMC9878872
Funding: - Office of Integrative Activities: 1826689
- National Institutes of Health: R01AI127709, R01GM129338, U54GM115516
Documentation
User manual
https://frietzelabuvm.github.io/peaksat/