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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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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. |
format | Online Article Text |
id | pubmed-9710664 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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