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

Max Franz; Christian T Lopes; Dylan Fong; Mike Kucera; Manfred Cheung; Metin Can Siper; Gerardo Huck; Yue Dong; Onur Sumer; Gary D Bader

doi:10.1093/bioinformatics/btad031

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

Bioinformatics. 2023 Jan 1;39(1):btad031. doi: 10.1093/bioinformatics/btad031.

Authors

Max Franz¹, Christian T Lopes¹, Dylan Fong¹, Mike Kucera¹, Manfred Cheung¹, Metin Can Siper², Gerardo Huck¹, Yue Dong¹, Onur Sumer³, Gary D Bader^{1

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Affiliations

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

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.

Publication types

Research Support, N.I.H., Extramural

MeSH terms

Computer Graphics*
Documentation
Libraries*
Software
Web Browser

Abstract

Publication types

MeSH terms

Grants and funding