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

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...

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Autores principales: Granja, Jeffrey M., Corces, M. Ryan, Pierce, Sarah E., Bagdatli, S. Tansu, Choudhry, Hani, Chang, Howard Y., Greenleaf, William J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8012210/
https://www.ncbi.nlm.nih.gov/pubmed/33633365
http://dx.doi.org/10.1038/s41588-021-00790-6
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author Granja, Jeffrey M.
Corces, M. Ryan
Pierce, Sarah E.
Bagdatli, S. Tansu
Choudhry, Hani
Chang, Howard Y.
Greenleaf, William J.
author_facet Granja, Jeffrey M.
Corces, M. Ryan
Pierce, Sarah E.
Bagdatli, S. Tansu
Choudhry, Hani
Chang, Howard Y.
Greenleaf, William J.
author_sort Granja, Jeffrey M.
collection PubMed
description 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.
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spelling pubmed-80122102021-04-16 ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis Granja, Jeffrey M. Corces, M. Ryan Pierce, Sarah E. Bagdatli, S. Tansu Choudhry, Hani Chang, Howard Y. Greenleaf, William J. Nat Genet Technical Report 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. Nature Publishing Group US 2021-02-25 2021 /pmc/articles/PMC8012210/ /pubmed/33633365 http://dx.doi.org/10.1038/s41588-021-00790-6 Text en © The Author(s), under exclusive licence to Springer Nature America, Inc. 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Technical Report
Granja, Jeffrey M.
Corces, M. Ryan
Pierce, Sarah E.
Bagdatli, S. Tansu
Choudhry, Hani
Chang, Howard Y.
Greenleaf, William J.
ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis
title ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis
title_full ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis
title_fullStr ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis
title_full_unstemmed ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis
title_short ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis
title_sort archr is a scalable software package for integrative single-cell chromatin accessibility analysis
topic Technical Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8012210/
https://www.ncbi.nlm.nih.gov/pubmed/33633365
http://dx.doi.org/10.1038/s41588-021-00790-6
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