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From reads to insight: a hitchhiker’s guide to ATAC-seq data analysis
Assay of Transposase Accessible Chromatin sequencing (ATAC-seq) is widely used in studying chromatin biology, but a comprehensive review of the analysis tools has not been completed yet. Here, we discuss the major steps in ATAC-seq data analysis, including pre-analysis (quality check and alignment),...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6996192/ https://www.ncbi.nlm.nih.gov/pubmed/32014034 http://dx.doi.org/10.1186/s13059-020-1929-3 |
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author | Yan, Feng Powell, David R. Curtis, David J. Wong, Nicholas C. |
author_facet | Yan, Feng Powell, David R. Curtis, David J. Wong, Nicholas C. |
author_sort | Yan, Feng |
collection | PubMed |
description | Assay of Transposase Accessible Chromatin sequencing (ATAC-seq) is widely used in studying chromatin biology, but a comprehensive review of the analysis tools has not been completed yet. Here, we discuss the major steps in ATAC-seq data analysis, including pre-analysis (quality check and alignment), core analysis (peak calling), and advanced analysis (peak differential analysis and annotation, motif enrichment, footprinting, and nucleosome position analysis). We also review the reconstruction of transcriptional regulatory networks with multiomics data and highlight the current challenges of each step. Finally, we describe the potential of single-cell ATAC-seq and highlight the necessity of developing ATAC-seq specific analysis tools to obtain biologically meaningful insights. ELECTRONIC SUPPLEMENTARY MATERIAL: Supplementary information accompanies this paper at 10.1186/s13059-020-1929-3. |
format | Online Article Text |
id | pubmed-6996192 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69961922020-02-05 From reads to insight: a hitchhiker’s guide to ATAC-seq data analysis Yan, Feng Powell, David R. Curtis, David J. Wong, Nicholas C. Genome Biol Review Assay of Transposase Accessible Chromatin sequencing (ATAC-seq) is widely used in studying chromatin biology, but a comprehensive review of the analysis tools has not been completed yet. Here, we discuss the major steps in ATAC-seq data analysis, including pre-analysis (quality check and alignment), core analysis (peak calling), and advanced analysis (peak differential analysis and annotation, motif enrichment, footprinting, and nucleosome position analysis). We also review the reconstruction of transcriptional regulatory networks with multiomics data and highlight the current challenges of each step. Finally, we describe the potential of single-cell ATAC-seq and highlight the necessity of developing ATAC-seq specific analysis tools to obtain biologically meaningful insights. ELECTRONIC SUPPLEMENTARY MATERIAL: Supplementary information accompanies this paper at 10.1186/s13059-020-1929-3. BioMed Central 2020-02-03 /pmc/articles/PMC6996192/ /pubmed/32014034 http://dx.doi.org/10.1186/s13059-020-1929-3 Text en © The Author(s). 2020, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Yan, Feng Powell, David R. Curtis, David J. Wong, Nicholas C. From reads to insight: a hitchhiker’s guide to ATAC-seq data analysis |
title | From reads to insight: a hitchhiker’s guide to ATAC-seq data analysis |
title_full | From reads to insight: a hitchhiker’s guide to ATAC-seq data analysis |
title_fullStr | From reads to insight: a hitchhiker’s guide to ATAC-seq data analysis |
title_full_unstemmed | From reads to insight: a hitchhiker’s guide to ATAC-seq data analysis |
title_short | From reads to insight: a hitchhiker’s guide to ATAC-seq data analysis |
title_sort | from reads to insight: a hitchhiker’s guide to atac-seq data analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6996192/ https://www.ncbi.nlm.nih.gov/pubmed/32014034 http://dx.doi.org/10.1186/s13059-020-1929-3 |
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