ThunderBolt:大型组学实验的交互式数据共享和分析平台

Thomas A Geddes, Rima Chauduri, Benjamin Parker, Pengyi Yang, James G Burchfield
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摘要

摘要:质谱(MS)数据集带来了一系列独特的挑战,使得深入的生物信息学分析并非易事,分析需要专业知识和时间。这些数据集通常具有独特的结构,需要逐个处理。目前,还没有现成的工具能以快速、交互和指导的方式来探索和分析这些数据集。为此,我们开发了 ThunderBolt:一个高度互动、点击式的网络应用程序,为生物信息学家和生物学家提供了一个平台,用于 i) 搜索和比较多个 omics 数据集;ii) 快速数据探索和质量控制;iii) 互动可视化;iv) 预处理;v) 统计分析;以及 vi) 使用 Shiny 框架对大型蛋白质组学数据集进行功能和网络富集分析:ThunderBolt 是一个 Shiny 应用程序,可通过 https://thunderbolt.sydney.edu.au/ 访问。
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ThunderBolt: An interactive data sharing and analysis platform for large-omics experiments
Summary: Mass-spectrometry (MS) datasets present a unique set of challenges that make in-depth bioinformatics analysis non-trivial, with analysis requiring both expertise and time. Often these datasets have unique structures that need to be dealt with on an individual basis. Currently, tools providing a fast, interactive and guided way of exploring and analysing these data sets are not readily available. To this end, we have developed ThunderBolt: a highly interactive, point-and-click web-based application providing both bioinformaticians and biologists with a platform for i) searching and comparing multiple omics datasets, ii) fast data exploration and quality control, iii) interactive visualization, iv) pre-processing, v) statistical analysis and vi) functional and network enrichment analysis of large proteomics datasets using the Shiny framework. Availability: ThunderBolt is a shiny-application accessible at https://thunderbolt.sydney.edu.au/
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