Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Program in Biophysics, Stanford University, Stanford, CA, USA.
Nat Genet. 2021 Mar;53(3):403-411. doi: 10.1038/s41588-021-00790-6. Epub 2021 Feb 25.
The advent of single-cell chromatin accessibility profiling has accelerated the ability to map gene regulatory landscapes but has outpaced the development of scalable software to rapidly extract biological meaning from these data. Here we present a software suite for single-cell analysis of regulatory chromatin in R (ArchR; https://www.archrproject.com/ ) that enables fast and comprehensive analysis of single-cell chromatin accessibility data. ArchR provides an intuitive, user-focused interface for complex single-cell analyses, including doublet removal, single-cell clustering and cell type identification, unified peak set generation, cellular trajectory identification, DNA element-to-gene linkage, transcription factor footprinting, mRNA expression level prediction from chromatin accessibility and multi-omic integration with single-cell RNA sequencing (scRNA-seq). Enabling the analysis of over 1.2 million single cells within 8 h on a standard Unix laptop, ArchR is a comprehensive software suite for end-to-end analysis of single-cell chromatin accessibility that will accelerate the understanding of gene regulation at the resolution of individual cells.
单细胞染色质可及性分析的出现加速了基因调控景观的绘制能力,但能够从这些数据中快速提取生物学意义的可扩展软件的发展却落后了。在这里,我们展示了一个用于 R 中的调节染色质单细胞分析的软件套件(ArchR;https://www.archrproject.com/ ),它能够快速全面地分析单细胞染色质可及性数据。ArchR 为复杂的单细胞分析提供了直观、以用户为中心的界面,包括去除双细胞、单细胞聚类和细胞类型鉴定、统一的峰集生成、细胞轨迹鉴定、DNA 元件与基因的连接、转录因子足迹、从染色质可及性预测 mRNA 表达水平以及与单细胞 RNA 测序(scRNA-seq)的多组学整合。在标准的 Unix 笔记本电脑上,ArchR 能够在 8 小时内分析超过 120 万个单细胞,是一个用于单细胞染色质可及性端到端分析的综合软件套件,将加速对单个细胞分辨率下基因调控的理解。