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PANEV: an R package for a pathway-based network visualization
BACKGROUND: During the last decade, with the aim to solve the challenge of post-genomic and transcriptomic data mining, a plethora of tools have been developed to create, edit and analyze metabolic pathways. In particular, when a complex phenomenon is considered, the creation of a network of multipl...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006390/ https://www.ncbi.nlm.nih.gov/pubmed/32028885 http://dx.doi.org/10.1186/s12859-020-3371-7 |
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author | Palombo, Valentino Milanesi, Marco Sferra, Gabriella Capomaccio, Stefano Sgorlon, Sandy D’Andrea, Mariasilvia |
author_facet | Palombo, Valentino Milanesi, Marco Sferra, Gabriella Capomaccio, Stefano Sgorlon, Sandy D’Andrea, Mariasilvia |
author_sort | Palombo, Valentino |
collection | PubMed |
description | BACKGROUND: During the last decade, with the aim to solve the challenge of post-genomic and transcriptomic data mining, a plethora of tools have been developed to create, edit and analyze metabolic pathways. In particular, when a complex phenomenon is considered, the creation of a network of multiple interconnected pathways of interest could be useful to investigate the underlying biology and ultimately identify functional candidate genes affecting the trait under investigation. RESULTS: PANEV (PAthway NEtwork Visualizer) is an R package set for gene/pathway-based network visualization. Based on information available on KEGG, it visualizes genes within a network of multiple levels (from 1 to n) of interconnected upstream and downstream pathways. The network graph visualization helps to interpret functional profiles of a cluster of genes. CONCLUSIONS: The suite has no species constraints and it is ready to analyze genomic or transcriptomic outcomes. Users need to supply the list of candidate genes, specify the target pathway(s) and the number of interconnected downstream and upstream pathways (levels) required for the investigation. The package is available at https://github.com/vpalombo/PANEV. |
format | Online Article Text |
id | pubmed-7006390 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70063902020-02-13 PANEV: an R package for a pathway-based network visualization Palombo, Valentino Milanesi, Marco Sferra, Gabriella Capomaccio, Stefano Sgorlon, Sandy D’Andrea, Mariasilvia BMC Bioinformatics Software BACKGROUND: During the last decade, with the aim to solve the challenge of post-genomic and transcriptomic data mining, a plethora of tools have been developed to create, edit and analyze metabolic pathways. In particular, when a complex phenomenon is considered, the creation of a network of multiple interconnected pathways of interest could be useful to investigate the underlying biology and ultimately identify functional candidate genes affecting the trait under investigation. RESULTS: PANEV (PAthway NEtwork Visualizer) is an R package set for gene/pathway-based network visualization. Based on information available on KEGG, it visualizes genes within a network of multiple levels (from 1 to n) of interconnected upstream and downstream pathways. The network graph visualization helps to interpret functional profiles of a cluster of genes. CONCLUSIONS: The suite has no species constraints and it is ready to analyze genomic or transcriptomic outcomes. Users need to supply the list of candidate genes, specify the target pathway(s) and the number of interconnected downstream and upstream pathways (levels) required for the investigation. The package is available at https://github.com/vpalombo/PANEV. BioMed Central 2020-02-06 /pmc/articles/PMC7006390/ /pubmed/32028885 http://dx.doi.org/10.1186/s12859-020-3371-7 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Palombo, Valentino Milanesi, Marco Sferra, Gabriella Capomaccio, Stefano Sgorlon, Sandy D’Andrea, Mariasilvia PANEV: an R package for a pathway-based network visualization |
title | PANEV: an R package for a pathway-based network visualization |
title_full | PANEV: an R package for a pathway-based network visualization |
title_fullStr | PANEV: an R package for a pathway-based network visualization |
title_full_unstemmed | PANEV: an R package for a pathway-based network visualization |
title_short | PANEV: an R package for a pathway-based network visualization |
title_sort | panev: an r package for a pathway-based network visualization |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006390/ https://www.ncbi.nlm.nih.gov/pubmed/32028885 http://dx.doi.org/10.1186/s12859-020-3371-7 |
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