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ATAC-DEA:一个基于网络的ATAC测序数据差异峰及注释分析应用程序。

ATAC-DEA: A Web-Based ATAC-Seq Data Differential Peak and Annotation Analysis Application.

作者信息

Zhang Shilong, Wang Sufang

机构信息

School of Life Sciences, Northwestern Polytechnical University, Xi'an, Shaanxi, China.

出版信息

J Comput Biol. 2023 Mar;30(3):337-345. doi: 10.1089/cmb.2022.0033. Epub 2023 Jan 19.

DOI:10.1089/cmb.2022.0033
PMID:36656543
Abstract

Assay for transposase-accessible chromatin sequencing (ATAC-seq) has become one of the most widely used sequencing methods in studies of gene regulation, aiming to identify open chromatin sites and decipher how chromatin accessibility regulates gene expression. However, due to a lack of programming experience or minimal bioinformatics training, it is difficult for biologists to fully explore and interpret ATAC-seq results. Despite several available programs or websites that allow researchers to analyze and visualize ATAC-seq data, several limitations exist. ATAC-seq data differential expression analysis (ATAC-DEA), a web application that facilitates the exploration and visualization of differential peak analysis and annotation from ATAC-seq data, was developed (www.atac-dea.xyz:3838/ATAC-DEA). ATAC-DEA uses DiffBind and ChIPpeakAnno to process differential peak and annotation analysis results. ATAC-DEA has five features: (1) runs on a web server; (2) processes three files into one small file, which is used as the input for ATAC-DEA; (3) availability of various downloadable plots; (4) multifactor analysis and customized contrast model; and (5) annotates individual, overlapped, and differential peaks. It provides an easy-to-use user interface (UI) design for users to explore the data and modify the parameters interactively based on experimental purposes. ATAC-DEA allows biologists to generate user-friendly visual results from ATAC-seq downstream analysis.

摘要

转座酶可及染色质测序分析(ATAC-seq)已成为基因调控研究中使用最广泛的测序方法之一,旨在识别开放染色质位点并解读染色质可及性如何调控基因表达。然而,由于缺乏编程经验或生物信息学培训较少,生物学家很难充分探索和解读ATAC-seq结果。尽管有几个可用的程序或网站允许研究人员分析和可视化ATAC-seq数据,但仍存在一些局限性。我们开发了ATAC-seq数据差异表达分析(ATAC-DEA)这一网络应用程序,它有助于探索和可视化来自ATAC-seq数据的差异峰分析及注释(www.atac-dea.xyz:3838/ATAC-DEA)。ATAC-DEA使用DiffBind和ChIPpeakAnno来处理差异峰和注释分析结果。ATAC-DEA具有五个特点:(1)在网络服务器上运行;(2)将三个文件处理成一个小文件,用作ATAC-DEA的输入;(3)提供各种可下载的图表;(4)多因素分析和定制对比模型;(5)对单个、重叠和差异峰进行注释。它为用户提供了一个易于使用的用户界面(UI)设计,以便用户根据实验目的交互式地探索数据并修改参数。ATAC-DEA使生物学家能够从ATAC-seq下游分析中生成用户友好的可视化结果。

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