simATAC: a single-cell ATAC-seq simulation framework

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作者
Zeinab Navidi
Lin Zhang
Bo Wang
机构
[1] Peter Munk Cardiac Centre,Department of Statistical Sciences
[2] University Health Network,Department of Laboratory Medicine and Pathobiology
[3] University of Toronto,Department of Computer Science
[4] University of Toronto,undefined
[5] University of Toronto,undefined
[6] Vector Institute,undefined
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Single-cell; scATAC-seq; Simulator; Software;
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摘要
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.
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