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NORMA: The Network Makeup Artist — A Web Tool for Network Annotation Visualization
Genomics, Proteomics & Bioinformatics ( IF 11.5 ) Pub Date : 2021-06-24 , DOI: 10.1016/j.gpb.2021.02.005
Mikaela Koutrouli 1 , Evangelos Karatzas 2 , Katerina Papanikolopoulou 1 , Georgios A Pavlopoulos 1
Affiliation  

The Network Makeup Artist (NORMA) is a web tool for interactive network annotation visualization and topological analysis, able to handle multiple networks and annotations simultaneously. Precalculated annotations (e.g., Gene Ontology, Pathway enrichment, community detection, or clustering results) can be uploaded and visualized in a network, either as colored pie-chart nodes or as color-filled areas in a 2D/3D Venn-diagram-like style. In the case where no annotation exists, algorithms for automated community detection are offered. Users can adjust the network views using standard layout algorithms or allow NORMA to slightly modify them for visually better group separation. Once a network view is set, users can interactively select and highlight any group of interest in order to generate publication-ready figures. Briefly, with NORMA, users can encode three types of information simultaneously. These are 1) the network, 2) the communities or annotations of interest, and 3) node categories or expression values. Finally, NORMA offers basic topological analysis and direct topological comparison across any of the selected networks. NORMA service is available at http://norma.pavlopouloslab.info, whereas the code is available at https://github.com/PavlopoulosLab/NORMA.



中文翻译:

NORMA:The Network Makeup Artist——网络标注可视化的网络工具

Network Makeup Artist (NORMA) 是一个用于交互式网络注释可视化拓扑分析的网络工具,能够同时处理多个网络和注释。预先计算的注释(例如,基因本体论、通路富集、社区检测,或聚类结果)可以在网络中上传和可视化,作为彩色饼图节点或作为 2D/3D 维恩图风格的颜色填充区域。在不存在注释的情况下,提供自动社区检测算法。用户可以使用标准布局算法调整网络视图,或允许 NORMA 稍微修改它们以在视觉上更好地分组。设置网络视图后,用户可以交互式选择并突出显示任何感兴趣的组,以生成可发布的图形。简而言之,使用 NORMA,用户可以同时对三种类型的信息进行编码。它们是 1) 网络,2) 社区或感兴趣的注释,以及 3) 节点类别或表达值。最后,NORMA 提供跨任何选定网络的基本拓扑分析和直接拓扑比较。NORMA 服务可在 http://norma.pavlopouloslab.info 获得,而代码可在 https://github.com/PavlopoulosLab/NORMA 获得。

更新日期:2021-06-24
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