快速组学：以直观、交互式且信息丰富的方式探索组学数据。
Quickomics: exploring omics data in an intuitive, interactive and informative manner.
作者信息
Gao Benbo, Zhu Jing, Negi Soumya, Zhang Xinmin, Gyoneva Stefka, Casey Fergal, Wei Ru, Zhang Baohong
机构信息
Research and Development, Biogen Inc, Cambridge, MA 02142, USA.
Data Science, BioInfoRx Inc, Madison, WI 53719, USA.
出版信息
Bioinformatics. 2021 Oct 25;37(20):3670-3672. doi: 10.1093/bioinformatics/btab255.
SUMMARY
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 customizable 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 AND IMPLEMENTATION
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.
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
摘要
我们开发了Quickomics，这是一个功能丰富的由R Shiny驱动的工具，使生物学家能够在易于使用的交互式界面中充分探索复杂的组学统计分析结果并进行高级分析。它涵盖了在组学数据初步分析完成后的广泛二级和三级分析任务。每个功能模块都配备了可定制选项，并生成交互式和可用于发表的图表，以从数据中揭示生物学见解。模块化设计使该工具易于扩展。
可用性和实现方式
研究人员可以使用自己的数据体验这些功能，或者通过使用托管在http://quickomics.bxgenomics.com的应用程序并遵循教程https://bit.ly/3rXIyhL来体验演示RNA测序和蛋白质组学数据集。遵循GPLv3许可的源代码可在https://github.com/interactivereport/Quickomics上获取，用于本地安装。
补充信息
补充数据可在《生物信息学》在线获取。
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