Arena3Dweb:多层网络的交互式 3D 可视化。
Arena3Dweb: interactive 3D visualization of multilayered networks.
机构信息
Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, Greece.
School of Mechanical Engineering, Section of Industrial Management and Operational Research, National Technical University of Athens, Zografou, Athens, Greece.
出版信息
Nucleic Acids Res. 2021 Jul 2;49(W1):W36-W45. doi: 10.1093/nar/gkab278.
Efficient integration and visualization of heterogeneous biomedical information in a single view is a key challenge. In this study, we present Arena3Dweb, the first, fully interactive and dependency-free, web application which allows the visualization of multilayered graphs in 3D space. With Arena3Dweb, users can integrate multiple networks in a single view along with their intra- and inter-layer connections. For clearer and more informative views, users can choose between a plethora of layout algorithms and apply them on a set of selected layers either individually or in combination. Users can align networks and highlight node topological features, whereas each layer as well as the whole scene can be translated, rotated and scaled in 3D space. User-selected edge colors can be used to highlight important paths, while node positioning, coloring and resizing can be adjusted on-the-fly. In its current version, Arena3Dweb supports weighted and unweighted undirected graphs and is written in R, Shiny and JavaScript. We demonstrate the functionality of Arena3Dweb using two different use-case scenarios; one regarding drug repurposing for SARS-CoV-2 and one related to GPCR signaling pathways implicated in melanoma. Arena3Dweb is available at http://bib.fleming.gr:3838/Arena3D or http://bib.fleming.gr/Arena3D.
在单个视图中高效地整合和可视化异质的生物医学信息是一个关键挑战。在本研究中,我们提出了 Arena3Dweb,这是第一个完全交互且无依赖的网络应用程序,允许在 3D 空间中可视化多层图。使用 Arena3Dweb,用户可以在单个视图中整合多个网络及其层内和层间连接。为了获得更清晰和更具信息量的视图,用户可以在众多布局算法中进行选择,并将它们应用于一组选定的层,无论是单独应用还是组合应用。用户可以对齐网络并突出显示节点拓扑特征,而每个层以及整个场景都可以在 3D 空间中进行平移、旋转和缩放。用户选择的边缘颜色可用于突出显示重要路径,而节点的位置、颜色和大小可以实时调整。在当前版本中,Arena3Dweb 支持加权和无向图,并使用 R、Shiny 和 JavaScript 编写。我们使用两个不同的用例场景来演示 Arena3Dweb 的功能;一个是关于 SARS-CoV-2 的药物再利用,另一个是与黑色素瘤中涉及的 GPCR 信号通路相关的。Arena3Dweb 可在 http://bib.fleming.gr:3838/Arena3D 或 http://bib.fleming.gr/Arena3D 上访问。