Lu Rita Jui-Hsien, Liu Yen-Ting, Huang Chih Wei, Yen Ming-Ren, Lin Chung-Yen, Chen Pao-Yang
Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan.
Department of Medicine, Washington University in St. Louis, St. Louis, MO, United States.
Front Genet. 2021 Jan 13;11:618478. doi: 10.3389/fgene.2020.618478. eCollection 2020.
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.
利用测序数据的转座酶可及染色质分析(ATAC-seq)是一种揭示全基因组染色质可及性的高效且精确的方法。当前大多数ATAC-seq工具都遵循染色质免疫沉淀测序(ChIP-seq)策略,而未考虑ATAC-seq的特异性。为了纳入特定的ATAC-seq质量控制以及染色质可及性的潜在生物学特性,我们开发了一款名为ATACgraph的生物信息学软件,用于分析和可视化ATAC-seq数据。ATACgraph描绘可及染色质区域,并提供ATAC-seq特异性信息,包括无核小体区域(NFR)和核小体占据区域的定义。ATACgraph还允许识别两个ATAC-seq数据集之间的差异可及区域。ATACgraph将docker镜像与Galaxy平台相结合,通过图形界面提供直观的用户体验。无需在本地机器或云端进行繁琐的安装过程,用户可以通过激活的网站,使用预先设计的工作流程或由ATACgraph模块组成的定制管道来分析数据。总体而言,ATACgraph是一款为ATAC-seq设计的有效工具,可供生物学家使用,他们只需具备最少的生物信息学知识就能分析染色质可及性。ATACgraph可以运行在任何ATAC-seq数据上,对特定基因组没有限制。作为验证,我们在人类基因组上展示了ATACgraph,以展示其对ATAC-seq解读的功能。该软件可公开获取,可从https://github.com/RitataLU/ATACgraph下载。