Correction:Fundamental and practical approaches for single-cell ATAC-seq analysis

Correction:aBIOTECH(2022)3:212–223 https://doi.org/10.1007/s42994-022-00082-5 The copyright holder for this article was incorrectly given as’Agricultural Information Institute,Chinese Academy of Agricultural Sciences’but should have been’The Authors’.This article was originally published with the incorrect licence;it should have been:Open Access This article is licensed under a Creative Commons Attribution 4.0 International License,which permits use,sharing,adaptation,distribution and reproduction in any medium or format,as long as you give appropriate credit to the original author(s)and the source,provide a link to the Creative Commons licence,and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons licence,unless indicated otherwise in a credit line to the material.

Fundamental and practical approaches for single-cell ATAC-seq analysis

Assays for transposase-accessible chromatin through high-throughput sequencing(ATAC-seq)are effective tools in the study of genome-wide chromatin accessibility landscapes.With the rapid development of single-cell technology,open chromatin regions that play essential roles in epigenetic regulation have been measured at the single-cell level using single-cell ATAC-seq approaches.The application of scATAC-seq has become as popular as that of scRNA-seq.However,owing to the nature of scATAC-seq data,which are sparse and noisy,processing the data requires different methodologies and empirical experience.This review presents a practical guide for processing scATAC-seq data,from quality evaluation to downstream analysis,for various applications.In addition to the epigenomic profiling from scATAC-seq,we also discuss recent studies in which the function of non-coding variants has been investigated based on cell type-specific cis-regulatory elements and how to use the by-product genetic information obtained from scATAC-seq to infer single-cell copy number variants and trace cell lineage.We anticipate that this review will assist researchers in designing and implementing scATAC-seq assays to facilitate research in diverse fields.