ArticlePeerJ2017
I-ATAC: interactive pipeline for the management and pre-processing of ATAC-seq samples.
Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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.
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.
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Who cites it
17 citing papers in PubMed.
- Integrative Epigenomics: Bioinformatics Strategies for Multi-Omics Data Analysis in Health and Disease.Epigenomes · 2026Review
- HAND2 invades nucleolar condensates to pioneer lineage-specific cardiac pacemaker gene programs.Nature communications · 2025Article
- N-alpha-acetyltransferase 40 modulates ecdysteroid action through chromatin accessibility changes near the promoters of 20-hydroxyecdysone response genes in Tribolium Castaneum TcA cells.Insect biochemistry and molecular biology · 2025Article
- Data-driven modeling of core gene regulatory network underlying leukemogenesis in IDH mutant AML.NPJ systems biology and applications · 2024Article
- Next-Generation Sequencing Applications for the Study of Fungal Pathogens.Microorganisms · 2022Review
- Differential enrichment of H3K9me3 in intrahepatic cholangiocarcinoma.BMC medical genomics · 2022Article
- Bibliometric review of ATAC-Seq and its application in gene expression.Briefings in bioinformatics · 2022Review
- PEPATAC: an optimized pipeline for ATAC-seq data analysis with serial alignments.NAR genomics and bioinformatics · 2021Article
- Article
- Analytical Approaches for ATAC-seq Data Analysis.Current protocols in human genetics · 2020Article
- ATAC-seq normalization method can significantly affect differential accessibility analysis and interpretation.Epigenetics & chromatin · 2020Article
- ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seq.Frontiers in genetics · 2020Article
- Hand2 Selectively Reorganizes Chromatin Accessibility to Induce Pacemaker-like Transcriptional Reprogramming.Cell reports · 2019Article
- Article
- ATACseqQC: a Bioconductor package for post-alignment quality assessment of ATAC-seq data.BMC genomics · 2018Article
- GUAVA: A Graphical User Interface for the Analysis and Visualization of ATAC-seq Data.Frontiers in genetics · 2018Article
- Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Assay for Transposase Accessible Chromatin (ATAC-seq) is an open chromatin profiling assay that is adapted to interrogate chromatin accessibility from small cell numbers. ATAC-seq surmounted a major technical barrier and enabled epigenome profiling of clinical samples. With this advancement in technology, we are now accumulating ATAC-seq samples from clinical samples at an unprecedented rate. These epigenomic profiles hold the key to uncovering how transcriptional programs are established in diverse human cells and are disrupted by genetic or environmental factors. Thus, the barrier to deriving important clinical insights from clinical epigenomic samples is no longer one of data generation but of data analysis. Specifically, we are still missing easy-to-use software tools that will enable non-computational scientists to analyze their own ATAC-seq samples. To facilitate systematic pre-processing and management of ATAC-seq samples, we developed an interactive, cross-platform, user-friendly and customized desktop application: interactive-ATAC (I-ATAC). I-ATAC integrates command-line data processing tools (FASTQC, Trimmomatic, BWA, Picard, ATAC_BAM_shiftrt_gappedAlign.pl, Bedtools and Macs2) into an easy-to-use platform with user interface to automatically pre-process ATAC-seq samples with parallelized and customizable pipelines. Its performance has been tested using public ATAC-seq datasets in GM12878 and CD4+T cells and a feature-based comparison is performed with some available interactive LIMS (Galaxy, SMITH, SeqBench, Wasp, NG6, openBIS). I-ATAC is designed to empower non-computational scientists to process their own datasets and to break to exclusivity of data analyses to computational scientists. Additionally, I-ATAC is capable of processing WGS and ChIP-seq samples, and can be customized by the user for one-independent or multiple-sequential operations.
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What OpenQuestion holds
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.