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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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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
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author Karatzas, Evangelos
Koutrouli, Mikaela
Baltoumas, Fotis A
Papanikolopoulou, Katerina
Bouyioukos, Costas
Pavlopoulos, Georgios A
author_facet Karatzas, Evangelos
Koutrouli, Mikaela
Baltoumas, Fotis A
Papanikolopoulou, Katerina
Bouyioukos, Costas
Pavlopoulos, Georgios A
author_sort Karatzas, Evangelos
collection PubMed
description 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.
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spelling pubmed-97106642023-01-24 The network makeup artist (NORMA-2.0): distinguishing annotated groups in a network using innovative layout strategies Karatzas, Evangelos Koutrouli, Mikaela Baltoumas, Fotis A Papanikolopoulou, Katerina Bouyioukos, Costas Pavlopoulos, Georgios A Bioinform Adv Application Note 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. Oxford University Press 2022-05-13 /pmc/articles/PMC9710664/ /pubmed/36699373 http://dx.doi.org/10.1093/bioadv/vbac036 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Application Note
Karatzas, Evangelos
Koutrouli, Mikaela
Baltoumas, Fotis A
Papanikolopoulou, Katerina
Bouyioukos, Costas
Pavlopoulos, Georgios A
The network makeup artist (NORMA-2.0): distinguishing annotated groups in a network using innovative layout strategies
title The network makeup artist (NORMA-2.0): distinguishing annotated groups in a network using innovative layout strategies
title_full The network makeup artist (NORMA-2.0): distinguishing annotated groups in a network using innovative layout strategies
title_fullStr The network makeup artist (NORMA-2.0): distinguishing annotated groups in a network using innovative layout strategies
title_full_unstemmed The network makeup artist (NORMA-2.0): distinguishing annotated groups in a network using innovative layout strategies
title_short The network makeup artist (NORMA-2.0): distinguishing annotated groups in a network using innovative layout strategies
title_sort network makeup artist (norma-2.0): distinguishing annotated groups in a network using innovative layout strategies
topic Application Note
url 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
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