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

• Published in: Nature genetics Vol. 53; no. 3; pp. 403 - 411
• Main Authors: Granja, Jeffrey M., Corces, M. Ryan, Pierce, Sarah E., Bagdatli, S. Tansu, Choudhry, Hani, Chang, Howard Y., Greenleaf, William J.
• Format: Journal Article
• Language: English
• Published: New York Nature Publishing Group US 01.03.2021; Nature Publishing Group
• Subjects: 38/22; 38/23; 38/39; 45; 631/208/176; 631/208/177; 631/208/200; Accessibility; Agriculture; Animal Genetics and Genomics; Animals; Biomedical and Life Sciences; Biomedicine; Cancer Research; Chromatin; Chromatin - genetics; Chromatin - metabolism; Cluster Analysis; Clustering; Computer programs; Datasets; Deoxyribonucleic acid; DNA; Electronic data processing; Footprinting; Gene expression; Gene Expression Regulation; Gene Function; Gene regulation; Gene sequencing; Genetic regulation; Genetic research; Genome; Genomics; Human Genetics; Humans; Identification; Mice; Science; Sequence Analysis, RNA - methods; Single-Cell Analysis - methods; Software; Software packages; technical-report; Technology application; Transcription factors; Transcription Factors - genetics; Transcription Factors - metabolism; UNIX; User-Computer Interface; Web Browser; United States

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 regulato...