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番石榴:一种用于分析和可视化ATAC序列数据的图形用户界面。

GUAVA: A Graphical User Interface for the Analysis and Visualization of ATAC-seq Data.

作者信息

Divate Mayur, Cheung Edwin

机构信息

Faculty of Health Sciences, University of Macau, Macau, Macau.

出版信息

Front Genet. 2018 Jul 17;9:250. doi: 10.3389/fgene.2018.00250. eCollection 2018.

DOI:10.3389/fgene.2018.00250
PMID:30065749
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6056626/
Abstract

Assay for Transposase Accessible Chromatin with high-throughput sequencing (ATAC-seq) is a powerful genomic technology that is used for the global mapping and analysis of open chromatin regions. However, for users to process and analyze such data they either have to use a number of complicated bioinformatic tools or attempt to use the currently available ATAC-seq analysis software, which are not very user friendly and lack visualization of the ATAC-seq results. Because of these issues, biologists with minimal bioinformatics background who wish to process and analyze their own ATAC-seq data by themselves will find these tasks difficult and ultimately will need to seek help from bioinformatics experts. Moreover, none of the available tools provide complete solution for ATAC-seq data analysis. Therefore, to enable non-programming researchers to analyze ATAC-seq data on their own, we developed a tool called Graphical User interface for the Analysis and Visualization of ATAC-seq data (GUAVA). GUAVA is a standalone software that provides users with a seamless solution from beginning to end including adapter trimming, read mapping, the identification and differential analysis of ATAC-seq peaks, functional annotation, and the visualization of ATAC-seq results. We believe GUAVA will be a highly useful and time-saving tool for analyzing ATAC-seq data for biologists with minimal or no bioinformatics background. Since GUAVA can also operate through command-line, it can easily be integrated into existing pipelines, thus providing flexibility to users with computational experience.

摘要

高通量测序转座酶可及染色质分析(ATAC-seq)是一种强大的基因组技术,用于开放染色质区域的全基因组图谱绘制和分析。然而,对于用户来说,要处理和分析这些数据,他们要么使用许多复杂的生物信息学工具,要么尝试使用现有的ATAC-seq分析软件,这些软件对用户不太友好,并且缺乏ATAC-seq结果的可视化功能。由于这些问题,希望自己处理和分析自身ATAC-seq数据的、生物信息学背景最少的生物学家会发现这些任务很困难,最终需要寻求生物信息学专家的帮助。此外,现有的工具都没有为ATAC-seq数据分析提供完整的解决方案。因此,为了使非编程研究人员能够自行分析ATAC-seq数据,我们开发了一种名为ATAC-seq数据分析与可视化图形用户界面(GUAVA)的工具。GUAVA是一款独立软件,为用户提供了从开始到结束的无缝解决方案,包括接头修剪、 reads比对、ATAC-seq峰的识别和差异分析、功能注释以及ATAC-seq结果的可视化。我们相信,对于生物信息学背景最少或没有生物信息学背景的生物学家来说,GUAVA将是一个非常有用且节省时间的ATAC-seq数据分析工具。由于GUAVA也可以通过命令行运行,它可以轻松地集成到现有的流程中,从而为有计算经验的用户提供灵活性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f445/6056626/4be038b72ce4/fgene-09-00250-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f445/6056626/79cb7b0a7c16/fgene-09-00250-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f445/6056626/6613f7928b81/fgene-09-00250-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f445/6056626/1373ce8287cc/fgene-09-00250-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f445/6056626/8e42ff84f654/fgene-09-00250-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f445/6056626/4be038b72ce4/fgene-09-00250-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f445/6056626/79cb7b0a7c16/fgene-09-00250-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f445/6056626/6613f7928b81/fgene-09-00250-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f445/6056626/1373ce8287cc/fgene-09-00250-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f445/6056626/8e42ff84f654/fgene-09-00250-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f445/6056626/4be038b72ce4/fgene-09-00250-g005.jpg

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