The network makeup artist (NORMA-2.0): distinguishing annotated groups in a network using innovative layout strategies

Evangelos Karatzas; Mikaela Koutrouli; Fotis A Baltoumas; Katerina Papanikolopoulou; Costas Bouyioukos; Georgios A Pavlopoulos

doi:10.1093/bioadv/vbac036

The network makeup artist (NORMA-2.0): distinguishing annotated groups in a network using innovative layout strategies

Bioinform Adv. 2022 May 13;2(1):vbac036. doi: 10.1093/bioadv/vbac036. eCollection 2022.

Authors

Evangelos Karatzas¹, Mikaela Koutrouli², Fotis A Baltoumas¹, Katerina Papanikolopoulou³, Costas Bouyioukos³, Georgios A Pavlopoulos^{1

4}

Affiliations

¹ Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center "Alexander Fleming", Vari, 16672, Greece.
² Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
³ Epigenetics and Cell Fate, CNRS UMR7216, Université Paris Cité, F-75013 Paris, France.
⁴ Center for New Biotechnologies and Precision Medicine, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece.

Abstract

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.