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

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...

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Detalles Bibliográficos
Autores principales: Karatzas, Evangelos, Koutrouli, Mikaela, Baltoumas, Fotis A, Papanikolopoulou, Katerina, Bouyioukos, Costas, Pavlopoulos, Georgios A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710664/
https://www.ncbi.nlm.nih.gov/pubmed/36699373
http://dx.doi.org/10.1093/bioadv/vbac036
Descripción
Sumario: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.