Cytoscape.js 2023 update: a graph theory library for visualization and analysis-Reference-Cited by-同舟云学术

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

Published:2023-01-01 Issue:1 Volume:39 Page:
ISSN:1367-4811
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Franz Max¹^ORCID,Lopes Christian T¹,Fong Dylan¹,Kucera Mike¹,Cheung Manfred¹,Siper Metin Can²,Huck Gerardo¹,Dong Yue¹,Sumer Onur³,Bader Gary D¹⁴⁵⁶⁷^ORCID

Affiliation:

1. The Donnelly Centre, University of Toronto , Toronto, ON, Canada

2. Department of Molecular and Medical Genetics, School of Medicine, Oregon Health & Science University , Portland, OR, USA

3. Memorial Sloan Kettering Cancer Center , New York, NY, USA

4. Department of Molecular Genetics, University of Toronto , Toronto, ON, Canada

5. Department of Computer Science, University of Toronto , Toronto, ON, Canada

6. The Lunenfeld-Tanenbaum Research Institute, Sinai Health System , Toronto, ON, Canada

7. Princess Margaret Cancer Centre, University Health Network , Toronto, ON, Canada

Abstract

AbstractSummaryCytoscape.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 implementationCytoscape.js is implemented in JavaScript. Documentation, downloads and source code are available at http://js.cytoscape.org.Supplementary informationSupplementary data are available at Bioinformatics online.

Funder

National Center for Research Resources

NIH

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btad031/48724194/btad031.pdf

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