Paananen Jussi, Wong Garry
A,I, Virtanen Institute of Molecular Sciences, University of Kuopio, Kuopio, Finland.
BMC Syst Biol. 2009 Feb 24;3:26. doi: 10.1186/1752-0509-3-26.
Genomics research produces vast amounts of experimental data that needs to be integrated in order to understand, model, and interpret the underlying biological phenomena. Interpreting these large and complex data sets is challenging and different visualization methods are needed to help produce knowledge from the data.
To help researchers to visualize and interpret integrated genomics data, we present a novel visualization method and bioinformatics software tool called FORG3D that is based on real-time three-dimensional force-directed graphs. FORG3D can be used to visualize integrated networks of genome scale data such as interactions between genes or gene products, signaling transduction, metabolic pathways, functional interactions and evolutionary relationships. Furthermore, we demonstrate its utility by exploring gene network relationships using integrated data sets from a Caenorhabditis elegans Parkinson's disease model.
We have created an open source software tool called FORG3D that can be used for visualizing and exploring integrated genome scale data.
基因组学研究产生了大量的实验数据,为了理解、建模和解释潜在的生物学现象,这些数据需要整合。解读这些庞大而复杂的数据集具有挑战性,需要不同的可视化方法来帮助从数据中产生知识。
为了帮助研究人员可视化和解读整合的基因组学数据,我们提出了一种基于实时三维力导向图的新型可视化方法和生物信息学软件工具FORG3D。FORG3D可用于可视化基因组规模数据的整合网络,如基因或基因产物之间的相互作用、信号转导、代谢途径、功能相互作用和进化关系。此外,我们通过使用来自秀丽隐杆线虫帕金森病模型的整合数据集探索基因网络关系,展示了其效用。
我们创建了一个名为FORG3D的开源软件工具,可用于可视化和探索整合的基因组规模数据。