SEACR

SEACR calibrates a simple threshold for peak calling in CUT&RUN chromatin profiling data by using the global distribution of background signal to discriminate true peaks from false positives with high specificity.

Key Features:

• Background-calibrated thresholding: Uses the global distribution of background signal to set a threshold for peak calling rather than relying on ChIP-seq-based models.
• High specificity peak discrimination: Distinguishes true and false-positive peaks with near-perfect specificity from gold standard CUT&RUN datasets.
• Efficient peak identification: Identifies enriched regions for multiple different protein targets in CUT&RUN data.

Scientific Applications:

• CUT&RUN peak calling: Analyzes CUT&RUN epigenome profiling data to identify sites of DNA binding protein enrichment genome-wide.
• Validation of CUT&RUN accuracy: Definitively validates CUT&RUN datasets with known true negatives through highly selective peak detection.

Methodology:

SEACR uses the global distribution of background signal to calibrate a simple threshold for peak calling.