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Quickomics: exploring omics data in an intuitive, interactive and informative manner
bioRxiv - Bioinformatics Pub Date : 2021-03-22 , DOI: 10.1101/2021.01.19.427296
Benbo Gao , Jing Zhu , Soumya Negi , Xinmin Zhang , Stefka Gyoneva , Fergal Casey , Ru Wei , Baohong Zhang

We developed Quickomics, a feature-rich R Shiny-powered tool to enable biologists to fully explore complex omics statistical analysis results and perform advanced analysis in an easy-to-use interactive interface. It covers a broad range of secondary and tertiary analytical tasks after primary analysis of omics data is completed. Each functional module is equipped with customi-zable options and generates both interactive and publication-ready plots to uncover biological insights from data. The modular design makes the tool extensible with ease. Availability: Researchers can experience the functionalities with their own data or demo RNA-Seq and proteomics datasets by using the app hosted at http://quickomics.bxgenomics.com and following the tutorial, https://bit.ly/3rXIyhL. The source code under GPLv3 license is provided at https://github.com/interactivereport/Quickomics for local installation.

中文翻译:

Quickomics:以直观,交互式和信息丰富的方式探索组学数据

我们开发了Quickomics,这是一款功能强大的R Shiny技术,可让生物学家全面研究复杂的omics统计分析结果,并在易于使用的交互式界面中进行高级分析。在完成组学数据的初步分析后,它涵盖了广泛的第二级和第三级分析任务。每个功能模块均配有可自定义的选项,并生成交互式图和可用于出版物的图,以从数据中发现生物学见解。模块化设计使该工具易于扩展。可用性:研究人员可以使用位于http://quickomics.bxgenomics.com上的应用程序并遵循教程https://bit.ly/3rXIyhL,使用自己的数据或演示RNA-Seq和蛋白质组学数据集来体验功能。在https:// github上提供了GPLv3许可下的源代码。
更新日期:2021-03-23
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