Literature DB >> 33584814

ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seq.

Rita Jui-Hsien Lu1,2, Yen-Ting Liu1, Chih Wei Huang3, Ming-Ren Yen1, Chung-Yen Lin3, Pao-Yang Chen1.   

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.
Copyright © 2021 Lu, Liu, Huang, Yen, Lin and Chen.

Entities:  

Keywords:  ATAC-seq; bioinformatics; chromatin accessibility; epigenomics; genomics; next-generation sequencing

Year:  2021        PMID: 33584814      PMCID: PMC7874078          DOI: 10.3389/fgene.2020.618478

Source DB:  PubMed          Journal:  Front Genet        ISSN: 1664-8021            Impact factor:   4.599


  22 in total

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Review 7.  Chromatin accessibility: a window into the genome.

Authors:  Maria Tsompana; Michael J Buck
Journal:  Epigenetics Chromatin       Date:  2014-11-20       Impact factor: 4.954

8.  Genome-wide mapping of transcriptional enhancer candidates using DNA and chromatin features in maize.

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Journal:  Genome Biol       Date:  2017-07-21       Impact factor: 13.583

9.  I-ATAC: interactive pipeline for the management and pre-processing of ATAC-seq samples.

Authors:  Zeeshan Ahmed; Duygu Ucar
Journal:  PeerJ       Date:  2017-11-22       Impact factor: 2.984

10.  esATAC: an easy-to-use systematic pipeline for ATAC-seq data analysis.

Authors:  Zheng Wei; Wei Zhang; Huan Fang; Yanda Li; Xiaowo Wang
Journal:  Bioinformatics       Date:  2018-08-01       Impact factor: 6.937

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