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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),...

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Detalles Bibliográficos
Autores principales: Yan, Feng, Powell, David R., Curtis, David J., Wong, Nicholas C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
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.
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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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