Peak calling by Sparse Enrichment Analysis for CUT&RUN chromatin profiling
Fred Hutch Cancer Center · Howard Hughes Medical Institute
Abstract
CUT&RUN is an efficient epigenome profiling method that identifies sites of DNA binding protein enrichment genome-wide with high signal to noise and low sequencing requirements. Currently, the analysis of CUT&RUN data is complicated by its exceptionally low background, which renders programs designed for analysis of ChIP-seq data vulnerable to oversensitivity in identifying sites of protein binding. Here we introduce Sparse Enrichment Analysis for CUT&RUN (SEACR), an analysis strategy that uses the global distribution of background signal to calibrate a simple threshold for peak calling. SEACR discriminates between true and false-positive peaks with near-perfect specificity from “gold standard” CUT&RUN…
Citation impact
- FWCI
- 13.33
- Percentile
- 100%
- References
- 21
Authors
3Topics & keywords
- Profiling (computer programming)
- Biology
- Chromatin
- Computational biology
- Human genetics
- Genetics
- Computer science
- DNA
- Reduced inequalities