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ATACgraph:通过ATAC-seq对全基因组染色质可及性进行分析

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

作者信息

Lu Rita Jui-Hsien, Liu Yen-Ting, Huang Chih Wei, Yen Ming-Ren, Lin Chung-Yen, Chen Pao-Yang

机构信息

Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan.

Department of Medicine, Washington University in St. Louis, St. Louis, MO, United States.

出版信息

Front Genet. 2021 Jan 13;11:618478. doi: 10.3389/fgene.2020.618478. eCollection 2020.

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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c30c/7874078/635915f1ed65/fgene-11-618478-g001.jpg

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