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simATAC: a single-cell ATAC-seq simulation framework
Single-cell assay for transposase-accessible chromatin sequencing (scATAC-seq) identifies regulated chromatin accessibility modules at the single-cell resolution. Robust evaluation is critical to the development of scATAC-seq pipelines, which calls for reproducible datasets for benchmarking. We here...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7934446/ https://www.ncbi.nlm.nih.gov/pubmed/33663563 http://dx.doi.org/10.1186/s13059-021-02270-w |
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author | Navidi, Zeinab Zhang, Lin Wang, Bo |
author_facet | Navidi, Zeinab Zhang, Lin Wang, Bo |
author_sort | Navidi, Zeinab |
collection | PubMed |
description | Single-cell assay for transposase-accessible chromatin sequencing (scATAC-seq) identifies regulated chromatin accessibility modules at the single-cell resolution. Robust evaluation is critical to the development of scATAC-seq pipelines, which calls for reproducible datasets for benchmarking. We hereby present the simATAC framework, an R package that generates scATAC-seq count matrices that highly resemble real scATAC-seq datasets in library size, sparsity, and chromatin accessibility signals. simATAC deploys statistical models derived from analyzing 90 real scATAC-seq cell groups. simATAC provides a robust and systematic approach to generate in silico scATAC-seq samples with known cell labels for assessing analytical pipelines. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13059-021-02270-w). |
format | Online Article Text |
id | pubmed-7934446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79344462021-03-08 simATAC: a single-cell ATAC-seq simulation framework Navidi, Zeinab Zhang, Lin Wang, Bo Genome Biol Method Single-cell assay for transposase-accessible chromatin sequencing (scATAC-seq) identifies regulated chromatin accessibility modules at the single-cell resolution. Robust evaluation is critical to the development of scATAC-seq pipelines, which calls for reproducible datasets for benchmarking. We hereby present the simATAC framework, an R package that generates scATAC-seq count matrices that highly resemble real scATAC-seq datasets in library size, sparsity, and chromatin accessibility signals. simATAC deploys statistical models derived from analyzing 90 real scATAC-seq cell groups. simATAC provides a robust and systematic approach to generate in silico scATAC-seq samples with known cell labels for assessing analytical pipelines. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13059-021-02270-w). BioMed Central 2021-03-04 /pmc/articles/PMC7934446/ /pubmed/33663563 http://dx.doi.org/10.1186/s13059-021-02270-w Text en © The Author(s) 2021 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. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Method Navidi, Zeinab Zhang, Lin Wang, Bo simATAC: a single-cell ATAC-seq simulation framework |
title | simATAC: a single-cell ATAC-seq simulation framework |
title_full | simATAC: a single-cell ATAC-seq simulation framework |
title_fullStr | simATAC: a single-cell ATAC-seq simulation framework |
title_full_unstemmed | simATAC: a single-cell ATAC-seq simulation framework |
title_short | simATAC: a single-cell ATAC-seq simulation framework |
title_sort | simatac: a single-cell atac-seq simulation framework |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7934446/ https://www.ncbi.nlm.nih.gov/pubmed/33663563 http://dx.doi.org/10.1186/s13059-021-02270-w |
work_keys_str_mv | AT navidizeinab simatacasinglecellatacseqsimulationframework AT zhanglin simatacasinglecellatacseqsimulationframework AT wangbo simatacasinglecellatacseqsimulationframework |