| Literature DB >> 33663563 |
Zeinab Navidi1, Lin Zhang2, Bo Wang3,4,5,6.
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.Entities:
Keywords: Simulator; Single-cell; Software; scATAC-seq
Mesh:
Year: 2021 PMID: 33663563 PMCID: PMC7934446 DOI: 10.1186/s13059-021-02270-w
Source DB: PubMed Journal: Genome Biol ISSN: 1474-7596 Impact factor: 13.583