网络化妆师（NORMA-2.0）：使用创新布局策略区分网络中的注释组。
The network makeup artist (NORMA-2.0): distinguishing annotated groups in a network using innovative layout strategies.
作者信息
Karatzas Evangelos, Koutrouli Mikaela, Baltoumas Fotis A, Papanikolopoulou Katerina, Bouyioukos Costas, Pavlopoulos Georgios A
机构信息
Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center "Alexander Fleming", Vari, 16672, Greece.
Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
出版信息
Bioinform Adv. 2022 May 13;2(1):vbac036. doi: 10.1093/bioadv/vbac036. eCollection 2022.
MOTIVATION
Network biology is a dominant player in today's multi-omics era. Therefore, the need for visualization tools which can efficiently cope with intra-network heterogeneity emerges.
RESULTS
NORMA-2.0 is a web application which uses efficient layouts to group together areas of interest in a network. In this version, NORMA-2.0 utilizes three different strategies to make such groupings as distinct as possible while it preserves all of the properties from its first version where one can handle multiple networks and annotation files simultaneously.
AVAILABILITY AND IMPLEMENTATION
The web resource is available at http://norma.pavlopouloslab.info/. The source code is freely available at https://github.com/PavlopoulosLab/NORMA.
动机
网络生物学在当今的多组学时代占据主导地位。因此，出现了对能够有效应对网络内部异质性的可视化工具的需求。
结果
NORMA-2.0是一个网络应用程序，它使用高效的布局将网络中的感兴趣区域聚集在一起。在这个版本中，NORMA-2.0采用三种不同的策略来使这些分组尽可能不同，同时保留其第一个版本的所有属性，在第一个版本中可以同时处理多个网络和注释文件。
可用性和实现
该网络资源可在http://norma.pavlopouloslab.info/获取。源代码可在https://github.com/PavlopoulosLab/NORMA上免费获取。
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