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RCX—an R package adapting the Cytoscape Exchange format for biological networks
MOTIVATION: The Cytoscape Exchange (CX) format is a JSON-based data structure designed for the transmission of biological networks using standard web technologies. It was developed by the network data exchange, which itself serves as online commons to share and collaborate on biological networks. Fu...
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/PMC9710607/ https://www.ncbi.nlm.nih.gov/pubmed/36699420 http://dx.doi.org/10.1093/bioadv/vbac020 |
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author | Auer, Florian Kramer, Frank |
author_facet | Auer, Florian Kramer, Frank |
author_sort | Auer, Florian |
collection | PubMed |
description | MOTIVATION: The Cytoscape Exchange (CX) format is a JSON-based data structure designed for the transmission of biological networks using standard web technologies. It was developed by the network data exchange, which itself serves as online commons to share and collaborate on biological networks. Furthermore, the Cytoscape software for the analysis and visualization of biological networks contributes structure elements to capture the visual layout within the CX format. However, there is a fundamental difference between data handling in web standards and R. A manual conversion requires detailed knowledge of the CX format to reproduce and work with the networks. RESULTS: Here, we present a software package to create, handle, validate, visualize and convert networks in CX format to standard data types and objects within R. Networks in this format can serve as a source for biological knowledge and also capture the results of the analysis of those while preserving the visual layout across all platforms. The RCX package connects the R environment for statistical computing with outside platforms for storage and collaboration, as well as further analysis and visualization of biological networks. AVAILABILITY: RCX is a free and open-source R package, available on Bioconductor from release 3.15 (https://bioconductor.org/packages/RCX) and via GitHub (https://github.com/frankkramer-lab/RCX). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online. |
format | Online Article Text |
id | pubmed-9710607 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97106072023-01-24 RCX—an R package adapting the Cytoscape Exchange format for biological networks Auer, Florian Kramer, Frank Bioinform Adv Application Note MOTIVATION: The Cytoscape Exchange (CX) format is a JSON-based data structure designed for the transmission of biological networks using standard web technologies. It was developed by the network data exchange, which itself serves as online commons to share and collaborate on biological networks. Furthermore, the Cytoscape software for the analysis and visualization of biological networks contributes structure elements to capture the visual layout within the CX format. However, there is a fundamental difference between data handling in web standards and R. A manual conversion requires detailed knowledge of the CX format to reproduce and work with the networks. RESULTS: Here, we present a software package to create, handle, validate, visualize and convert networks in CX format to standard data types and objects within R. Networks in this format can serve as a source for biological knowledge and also capture the results of the analysis of those while preserving the visual layout across all platforms. The RCX package connects the R environment for statistical computing with outside platforms for storage and collaboration, as well as further analysis and visualization of biological networks. AVAILABILITY: RCX is a free and open-source R package, available on Bioconductor from release 3.15 (https://bioconductor.org/packages/RCX) and via GitHub (https://github.com/frankkramer-lab/RCX). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online. Oxford University Press 2022-03-31 /pmc/articles/PMC9710607/ /pubmed/36699420 http://dx.doi.org/10.1093/bioadv/vbac020 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 Auer, Florian Kramer, Frank RCX—an R package adapting the Cytoscape Exchange format for biological networks |
title | RCX—an R package adapting the Cytoscape Exchange format for biological networks |
title_full | RCX—an R package adapting the Cytoscape Exchange format for biological networks |
title_fullStr | RCX—an R package adapting the Cytoscape Exchange format for biological networks |
title_full_unstemmed | RCX—an R package adapting the Cytoscape Exchange format for biological networks |
title_short | RCX—an R package adapting the Cytoscape Exchange format for biological networks |
title_sort | rcx—an r package adapting the cytoscape exchange format for biological networks |
topic | Application Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710607/ https://www.ncbi.nlm.nih.gov/pubmed/36699420 http://dx.doi.org/10.1093/bioadv/vbac020 |
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