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Updated: Sep 11, 2025

ATAC-Seq Optimization for Cancer Epigenetics Research
Published on: June 30, 2022
Quality control of single-cell ATAC-seq data without peak calling using Chromap
Omar Ahmed1, Haowen Zhang2, Ben Langmead1
1Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
None:
In this work, we extend Chromap, an ultrafast method for single-cell ATAC-seq data alignment, to directly report peak-based quality control (QC) metrics, such as the fraction of reads in peaks, without calling peaks. Recent single-cell ATAC-seq analysis methods like SnapATAC2 utilize the genome-interval-based feature for data analysis, which disables filtering low-quality cells using common peak-based QC metrics. We show that Chromap's QC metrics capture additional low-quality cells missed by SnapATAC2 and improve downstream analysis results without sacrificing computational efficiency.

