Evidence map›Paper›PMID 29490630›Full record

ArticleBMC genomics2018

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

Jianhong Ou, Haibo Liu, Jun Yu, Michelle A Kelliher, Lucio H Castilla, Nathan D Lawson, Lihua Julie Zhu

Abstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers.

0numbers the graph read from it
0cells of the map it votes in
155citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

155 citing papers in PubMed.

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  8. Modular genetic architecture underlies human hand and foot evolution.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  11. Variant-to-gene mapping identifiesbioRxiv : the preprint server for biology · 2026
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  12. Med14 phosphorylation shapes genomic response to GLP-1 agonists.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  13. Article
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  17. Laser-Capture Microdissection Followed by ATAC-Seq.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  18. Article
  19. Article
  20. Article

95 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jianhong OuDepartment of Cell Biology, Duke University Medical Center, Durham, NC, 27710, USA.
Haibo LiuDepartment of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, 364 Plantation Street, Worcester, MA, 01605, USA.
Jun YuDepartment of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, 364 Plantation Street, Worcester, MA, 01605, USA.
Michelle A KelliherDepartment of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, 364 Plantation Street, Worcester, MA, 01605, USA.
Lucio H CastillaDepartment of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, 364 Plantation Street, Worcester, MA, 01605, USA.
Nathan D LawsonDepartment of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, 364 Plantation Street, Worcester, MA, 01605, USA.
Lihua Julie ZhuDepartment of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, 364 Plantation Street, Worcester, MA, 01605, USA. Julie.Zhu@umassmed.edu.

Funding

Embryonic origins of endothelial heterogeneityR35HL140017 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LAWSON, NATHAN D · 2018 to 2023
$6.0M
NHLBI NIH HHS R35 HL140017
6 · The paper itself

Abstract

backgroundATAC-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.

resultsWe 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.

conclusionsThis 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 .

Indexed as

SoftwareBinding SitesComputational BiologyDNA-Binding ProteinsDNA Transposable ElementsGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingMutagenesis, InsertionalSequence Analysis, DNATranscription Initiation SiteTransposasesWeb BrowserDNA-Binding ProteinsDNA Transposable ElementsTransposasesATAC-seqATACseqQCChromatin accessibilityQuality control

Identifiers

PMID29490630
PMCPMC5831847

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.