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ATACseqQC: a Bioconductor package for post-alignment quality assessment of ATAC-seq data

BACKGROUND: ATAC-seq (Assays for Transposase-Accessible Chromatin using sequencing) is a recently developed technique for genome-wide analysis of chromatin accessibility. Compared to earlier methods for assaying chromatin accessibility, ATAC-seq is faster and easier to perform, does not require cros...

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Autores principales: Ou, Jianhong, Liu, Haibo, Yu, Jun, Kelliher, Michelle A., Castilla, Lucio H., Lawson, Nathan D., Zhu, Lihua Julie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5831847/
https://www.ncbi.nlm.nih.gov/pubmed/29490630
http://dx.doi.org/10.1186/s12864-018-4559-3
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author Ou, Jianhong
Liu, Haibo
Yu, Jun
Kelliher, Michelle A.
Castilla, Lucio H.
Lawson, Nathan D.
Zhu, Lihua Julie
author_facet Ou, Jianhong
Liu, Haibo
Yu, Jun
Kelliher, Michelle A.
Castilla, Lucio H.
Lawson, Nathan D.
Zhu, Lihua Julie
author_sort Ou, Jianhong
collection PubMed
description BACKGROUND: ATAC-seq (Assays for Transposase-Accessible Chromatin using sequencing) is a recently developed technique for genome-wide analysis of chromatin accessibility. Compared to earlier methods for assaying chromatin accessibility, ATAC-seq is faster and easier to perform, does not require cross-linking, has higher signal to noise ratio, and can be performed on small cell numbers. However, to ensure a successful ATAC-seq experiment, step-by-step quality assurance processes, including both wet lab quality control and in silico quality assessment, are essential. While several tools have been developed or adopted for assessing read quality, identifying nucleosome occupancy and accessible regions from ATAC-seq data, none of the tools provide a comprehensive set of functionalities for preprocessing and quality assessment of aligned ATAC-seq datasets. RESULTS: We have developed a Bioconductor package, ATACseqQC, for easily generating various diagnostic plots to help researchers quickly assess the quality of their ATAC-seq data. In addition, this package contains functions to preprocess aligned ATAC-seq data for subsequent peak calling. Here we demonstrate the utilities of our package using 25 publicly available ATAC-seq datasets from four studies. We also provide guidelines on what the diagnostic plots should look like for an ideal ATAC-seq dataset. CONCLUSIONS: This software package has been used successfully for preprocessing and assessing several in-house and public ATAC-seq datasets. Diagnostic plots generated by this package will facilitate the quality assessment of ATAC-seq data, and help researchers to evaluate their own ATAC-seq experiments as well as select high-quality ATAC-seq datasets from public repositories such as GEO to avoid generating hypotheses or drawing conclusions from low-quality ATAC-seq experiments. The software, source code, and documentation are freely available as a Bioconductor package at https://bioconductor.org/packages/release/bioc/html/ATACseqQC.html. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4559-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-58318472018-03-05 ATACseqQC: a Bioconductor package for post-alignment quality assessment of ATAC-seq data Ou, Jianhong Liu, Haibo Yu, Jun Kelliher, Michelle A. Castilla, Lucio H. Lawson, Nathan D. Zhu, Lihua Julie BMC Genomics Software BACKGROUND: ATAC-seq (Assays for Transposase-Accessible Chromatin using sequencing) is a recently developed technique for genome-wide analysis of chromatin accessibility. Compared to earlier methods for assaying chromatin accessibility, ATAC-seq is faster and easier to perform, does not require cross-linking, has higher signal to noise ratio, and can be performed on small cell numbers. However, to ensure a successful ATAC-seq experiment, step-by-step quality assurance processes, including both wet lab quality control and in silico quality assessment, are essential. While several tools have been developed or adopted for assessing read quality, identifying nucleosome occupancy and accessible regions from ATAC-seq data, none of the tools provide a comprehensive set of functionalities for preprocessing and quality assessment of aligned ATAC-seq datasets. RESULTS: We have developed a Bioconductor package, ATACseqQC, for easily generating various diagnostic plots to help researchers quickly assess the quality of their ATAC-seq data. In addition, this package contains functions to preprocess aligned ATAC-seq data for subsequent peak calling. Here we demonstrate the utilities of our package using 25 publicly available ATAC-seq datasets from four studies. We also provide guidelines on what the diagnostic plots should look like for an ideal ATAC-seq dataset. CONCLUSIONS: This software package has been used successfully for preprocessing and assessing several in-house and public ATAC-seq datasets. Diagnostic plots generated by this package will facilitate the quality assessment of ATAC-seq data, and help researchers to evaluate their own ATAC-seq experiments as well as select high-quality ATAC-seq datasets from public repositories such as GEO to avoid generating hypotheses or drawing conclusions from low-quality ATAC-seq experiments. The software, source code, and documentation are freely available as a Bioconductor package at https://bioconductor.org/packages/release/bioc/html/ATACseqQC.html. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4559-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-01 /pmc/articles/PMC5831847/ /pubmed/29490630 http://dx.doi.org/10.1186/s12864-018-4559-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://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/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Ou, Jianhong
Liu, Haibo
Yu, Jun
Kelliher, Michelle A.
Castilla, Lucio H.
Lawson, Nathan D.
Zhu, Lihua Julie
ATACseqQC: a Bioconductor package for post-alignment quality assessment of ATAC-seq data
title ATACseqQC: a Bioconductor package for post-alignment quality assessment of ATAC-seq data
title_full ATACseqQC: a Bioconductor package for post-alignment quality assessment of ATAC-seq data
title_fullStr ATACseqQC: a Bioconductor package for post-alignment quality assessment of ATAC-seq data
title_full_unstemmed ATACseqQC: a Bioconductor package for post-alignment quality assessment of ATAC-seq data
title_short ATACseqQC: a Bioconductor package for post-alignment quality assessment of ATAC-seq data
title_sort atacseqqc: a bioconductor package for post-alignment quality assessment of atac-seq data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5831847/
https://www.ncbi.nlm.nih.gov/pubmed/29490630
http://dx.doi.org/10.1186/s12864-018-4559-3
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