4.8 Article

ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis

期刊

NATURE GENETICS
卷 53, 期 3, 页码 403-+

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41588-021-00790-6

关键词

-

资金

  1. NIH [RM1-HG007735, UM1-HG009442, R35-CA209919, UM1-HG009436, 1UM1-HG009442, U2CCA233311, U54-GH010426, U19-AI057266, K99-AG059918]
  2. American Society of Hematology Scholar Award
  3. International Collaborative Award
  4. Defense Advanced Research Project Agency [W911NF1920185]
  5. Stanford Cancer Institute-Goldman Sachs Foundation Cancer Research Award

向作者/读者索取更多资源

ArchR is a software suite for single-cell chromatin accessibility analysis in R, allowing fast and comprehensive analysis and processing of single-cell chromatin accessibility data, providing multiple analysis functions, and capable of handling large amounts of single-cell data in a short period of time.
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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据