Ma Wen, Ma Peiyao, Yuan Yue, Hu Dandan, Li Kaifeng, Cai Pengfei, Liu Chuanyu
BGI Research, Hangzhou 310030, China.
BGI Research, Hangzhou 310030, China; School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
STAR Protoc. 2025 Jul 21;6(3):103960. doi: 10.1016/j.xpro.2025.103960.
While the single-cell sequencing assay for transposase-accessible chromatin (scATAC-seq) is a powerful single-cell resolution tool for studying chromatin accessibility, its analytical workflow presents significant challenges for researchers new to scATAC-seq. Here, we present a protocol for conducting scATAC-seq analysis using a publicly available dataset as an example. We describe steps for data pre-processing and downstream analysis. We then detail procedures for computational multi-omics integration.
虽然用于转座酶可及染色质的单细胞测序分析(scATAC-seq)是一种用于研究染色质可及性的强大的单细胞分辨率工具,但其分析流程给scATAC-seq新手研究人员带来了重大挑战。在此,我们以一个公开可用的数据集为例,展示一个进行scATAC-seq分析的方案。我们描述了数据预处理和下游分析的步骤。然后详细介绍了计算多组学整合的程序。