Rohn Hendrik, Junker Astrid, Hartmann Anja, Grafahrend-Belau Eva, Treutler Hendrik, Klapperstück Matthias, Czauderna Tobias, Klukas Christian, Schreiber Falk
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, 06466 Gatersleben, Germany.
BMC Syst Biol. 2012 Nov 10;6:139. doi: 10.1186/1752-0509-6-139.
Experimental datasets are becoming larger and increasingly complex, spanning different data domains, thereby expanding the requirements for respective tool support for their analysis. Networks provide a basis for the integration, analysis and visualization of multi-omics experimental datasets.
Here we present VANTED (version 2), a framework for systems biology applications, which comprises a comprehensive set of seven main tasks. These range from network reconstruction, data visualization, integration of various data types, network simulation to data exploration combined with a manifold support of systems biology standards for visualization and data exchange. The offered set of functionalities is instantiated by combining several tasks in order to enable users to view and explore a comprehensive dataset from different perspectives. We describe the system as well as an exemplary workflow.
VANTED is a stand-alone framework which supports scientists during the data analysis and interpretation phase. It is available as a Java open source tool from http://www.vanted.org.
实验数据集正变得越来越大且日益复杂,涵盖不同的数据领域,从而扩大了对其分析所需相应工具支持的要求。网络为多组学实验数据集的整合、分析和可视化提供了基础。
在此,我们展示了VANTED(版本2),这是一个用于系统生物学应用的框架,它包含一组全面的七个主要任务。这些任务范围从网络重建、数据可视化、各种数据类型的整合、网络模拟到数据探索,并结合了对系统生物学可视化和数据交换标准的多种支持。通过组合多个任务来实例化所提供的功能集,以便用户能够从不同角度查看和探索全面的数据集。我们描述了该系统以及一个示例性工作流程。
VANTED是一个独立的框架,在数据分析和解释阶段为科学家提供支持。它可从http://www.vanted.org作为Java开源工具获取。