ArticleFrontiers in genetics2020
ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seq.
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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.
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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.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- HOMEODOMAIN-LIKE shapes chromatin architecture and rewires leaf epidermal patterns.Nature communications · 2026Article
- Integrative Epigenomics: Bioinformatics Strategies for Multi-Omics Data Analysis in Health and Disease.Epigenomes · 2026Review
- SUMOylation activates ECHS1 for adaptive catabolism in lung cancer.Cell death & disease · 2026Article
- SLUR(M)-py: a SLURM powered Pythonic pipeline for parallel processing of 3D (Epi)genomic profiles.Epigenomics · 2025Article
- Topoisomerase-modulated genome-wide DNA supercoiling domains colocalize with nuclear compartments and regulate human gene expression.Nature structural & molecular biology · 2025Article
- Epigenetic factors direct synergistic and antagonistic regulation of transposable elements in Arabidopsis.Plant physiology · 2024Article
- Establishing an optimized ATAC-seq protocol for the maize.Frontiers in plant science · 2024Article
- Uniform quantification of single-nucleus ATAC-seq data with Paired-Insertion Counting (PIC) and a model-based insertion rate estimator.Nature methods · 2024Article
- Review
- Genetic variation in chromatin state across multiple tissues in Drosophila melanogaster.PLoS genetics · 2023Article
- ATAC-seq exposes differences in chromatin accessibility leading to distinct leaf shapes in mulberry.Plant direct · 2022Article
- Single-cell sequencing: A cutting edge tool in molecular medical research.Medical journal, Armed Forces India · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Assay for transposase-accessible chromatin using sequencing data (ATAC-seq) is an efficient and precise method for revealing chromatin accessibility across the genome. Most of the current ATAC-seq tools follow chromatin immunoprecipitation sequencing (ChIP-seq) strategies that do not consider ATAC-seq-specific properties. To incorporate specific ATAC-seq quality control and the underlying biology of chromatin accessibility, we developed a bioinformatics software named ATACgraph for analyzing and visualizing ATAC-seq data. ATACgraph profiles accessible chromatin regions and provides ATAC-seq-specific information including definitions of nucleosome-free regions (NFRs) and nucleosome-occupied regions. ATACgraph also allows identification of differentially accessible regions between two ATAC-seq datasets. ATACgraph incorporates the docker image with the Galaxy platform to provide an intuitive user experience via the graphical interface. Without tedious installation processes on a local machine or cloud, users can analyze data through activated websites using pre-designed workflows or customized pipelines composed of ATACgraph modules. Overall, ATACgraph is an effective tool designed for ATAC-seq for biologists with minimal bioinformatics knowledge to analyze chromatin accessibility. ATACgraph can be run on any ATAC-seq data with no limit to specific genomes. As validation, we demonstrated ATACgraph on human genome to showcase its functions for ATAC-seq interpretation. This software is publicly accessible and can be downloaded at https://github.com/RitataLU/ATACgraph.
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Registered trials
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.