Sign in
BioinformaticsGenome biology
Peer-reviewed journal article

simATAC: A single-cell ATAC-seq simulation framework

Zeinab Navidi, Lin ZhangiD, Bo WangiD

Abstract

Single-cell Assay for Transposase-Accessible Chromatin sequencing (scATAC-seq) identifies regulated chromatin accessibility modules at the single-cell resolution. Robust evaluation is critical to the development of scATAC-seq pipelines, which calls for reproducible datasets for benchmarking. We hereby present the simATAC framework, an R package that generates scATAC-seq count matrices that highly resemble real scATAC-seq datasets in library size, sparsity, and chromatin accessibility signals. simATAC deploys statistical models derived from analyzing 90 real scATAC-seq cell groups. simATAC provides a robust and systematic approach to generate in silico scATAC-seq samples with known cell labels for assessing analytical pipelines.

02 /Specification & Classification

Click any tag to browse matching papers
Citations
39
FWCI
2.12
Field percentile
top 11%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISChugh '26Chen '21Yan '23Li '23Chen '19Baker '18
78% semantic matchBioinformatics
Sagrika Chugh, Heejung Shim, Davis James McCarthy·Genome biology·Jul 29, 2026