VENNTURE--a novel Venn diagram investigational tool for multiple pharmacological dataset analysis.
VENNTURE--a novel Venn diagram investigational tool for multiple pharmacological dataset analysis.
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DOI：
10.1371/journal.pone.0036911
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Maudsley S
中科院分区：
文献类型：
--
作者：
Martin B;Chadwick W;Yi T;Park SS;Lu D;Ni B;Gadkaree S;Farhang K;Becker KG;Maudsley S
随着药理学数据集变得越来越大和复杂，需要新的视觉分析和过滤程序来帮助它们的理解。可视化生物数据最常用的方法之一是维恩图。目前使用的维恩分析软件经常给生物科学家带来多个问题，因为只能分析有限数量的同步数据集。提高对多个高度复杂的数据集之间的连接性的理解对于下一代基因组和蛋白质组数据流的数据分析至关重要。我们描述了 VENNTURE 的开发，该程序以用户友好的方式促进多达六个数据集的可视化。该程序包括多功能输出功能，可以轻松地将分组数据点导出到电子表格中。为了证明其独特的实验实用性，我们将 VENNTURE 应用于高度复杂的并行范例，即在多个细胞生理环境中比较多个 G 蛋白偶联受体药物剂量磷酸化蛋白质组数据。 VENNTURE 能够可靠、简单地将六个复杂的数据集分解为易于识别的组，以便进行简单的分析和数据输出。应用于复杂的药理学数据集时，VENNTURE 的改进功能和分析简易性比当前可用的维恩图程序有了很大改进。 VENNTURE 能够描绘剂量依赖性 G 蛋白偶联受体活性的高度复杂模式及其对生理细胞环境的依赖性。这项研究凸显了此类项目在药理学、基因组学和生物信息学等领域的潜力。
As pharmacological data sets become increasingly large and complex, new visual analysis and filtering programs are needed to aid their appreciation. One of the most commonly used methods for visualizing biological data is the Venn diagram. Currently used Venn analysis software often presents multiple problems to biological scientists, in that only a limited number of simultaneous data sets can be analyzed. An improved appreciation of the connectivity between multiple, highly-complex datasets is crucial for the next generation of data analysis of genomic and proteomic data streams. We describe the development of VENNTURE, a program that facilitates visualization of up to six datasets in a user-friendly manner. This program includes versatile output features, where grouped data points can be easily exported into a spreadsheet. To demonstrate its unique experimental utility we applied VENNTURE to a highly complex parallel paradigm, i.e. comparison of multiple G protein-coupled receptor drug dose phosphoproteomic data, in multiple cellular physiological contexts. VENNTURE was able to reliably and simply dissect six complex data sets into easily identifiable groups for straightforward analysis and data output. Applied to complex pharmacological datasets, VENNTURE’s improved features and ease of analysis are much improved over currently available Venn diagram programs. VENNTURE enabled the delineation of highly complex patterns of dose-dependent G protein-coupled receptor activity and its dependence on physiological cellular contexts. This study highlights the potential for such a program in fields such as pharmacology, genomics, and bioinformatics.
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影响因子：
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作者：
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