Cytoscape.js 2023 update: a graph theory library for visualization and analysis

SUMMARY: Cytoscape.js is an open-source JavaScript-based graph library. Its most common use case is as a visualization software component, so it can be used to render interactive graphs in a web browser. It also can be used in a headless manner, useful for graph operations on a server, such as Node....

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Detalles Bibliográficos
Autores principales: Franz, Max, Lopes, Christian T, Fong, Dylan, Kucera, Mike, Cheung, Manfred, Siper, Metin Can, Huck, Gerardo, Dong, Yue, Sumer, Onur, Bader, Gary D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889963/
https://www.ncbi.nlm.nih.gov/pubmed/36645249
http://dx.doi.org/10.1093/bioinformatics/btad031
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author Franz, Max
Lopes, Christian T
Fong, Dylan
Kucera, Mike
Cheung, Manfred
Siper, Metin Can
Huck, Gerardo
Dong, Yue
Sumer, Onur
Bader, Gary D
author_facet Franz, Max
Lopes, Christian T
Fong, Dylan
Kucera, Mike
Cheung, Manfred
Siper, Metin Can
Huck, Gerardo
Dong, Yue
Sumer, Onur
Bader, Gary D
author_sort Franz, Max
collection PubMed
description SUMMARY: Cytoscape.js is an open-source JavaScript-based graph library. Its most common use case is as a visualization software component, so it can be used to render interactive graphs in a web browser. It also can be used in a headless manner, useful for graph operations on a server, such as Node.js. This update describes new features and enhancements introduced over many new versions from 2015 to 2022. AVAILABILITY AND IMPLEMENTATION: Cytoscape.js is implemented in JavaScript. Documentation, downloads and source code are available at http://js.cytoscape.org. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-98899632023-02-02 Cytoscape.js 2023 update: a graph theory library for visualization and analysis Franz, Max Lopes, Christian T Fong, Dylan Kucera, Mike Cheung, Manfred Siper, Metin Can Huck, Gerardo Dong, Yue Sumer, Onur Bader, Gary D Bioinformatics Applications Note SUMMARY: Cytoscape.js is an open-source JavaScript-based graph library. Its most common use case is as a visualization software component, so it can be used to render interactive graphs in a web browser. It also can be used in a headless manner, useful for graph operations on a server, such as Node.js. This update describes new features and enhancements introduced over many new versions from 2015 to 2022. AVAILABILITY AND IMPLEMENTATION: Cytoscape.js is implemented in JavaScript. Documentation, downloads and source code are available at http://js.cytoscape.org. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2023-01-16 /pmc/articles/PMC9889963/ /pubmed/36645249 http://dx.doi.org/10.1093/bioinformatics/btad031 Text en © The Author(s) 2023. 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 Applications Note
Franz, Max
Lopes, Christian T
Fong, Dylan
Kucera, Mike
Cheung, Manfred
Siper, Metin Can
Huck, Gerardo
Dong, Yue
Sumer, Onur
Bader, Gary D
Cytoscape.js 2023 update: a graph theory library for visualization and analysis
title Cytoscape.js 2023 update: a graph theory library for visualization and analysis
title_full Cytoscape.js 2023 update: a graph theory library for visualization and analysis
title_fullStr Cytoscape.js 2023 update: a graph theory library for visualization and analysis
title_full_unstemmed Cytoscape.js 2023 update: a graph theory library for visualization and analysis
title_short Cytoscape.js 2023 update: a graph theory library for visualization and analysis
title_sort cytoscape.js 2023 update: a graph theory library for visualization and analysis
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889963/
https://www.ncbi.nlm.nih.gov/pubmed/36645249
http://dx.doi.org/10.1093/bioinformatics/btad031
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