F1000ResearchBioinformaticsPeer-reviewed journal article
RCy3: Network Biology using Cytoscape from within R
Julia GustavseniD, Shraddha PaiiD, Ruth IsserliniD, Barry DemchakiD, Alexander R. PicoiD
Abstract
RCy3 is an R package in Bioconductor that communicates with Cytoscape via its REST API, providing access to the full feature set of Cytoscape from within the R programming environment. RCy3 has been redesigned to streamline its usage and future development as part of a broader Cytoscape Automation effort. Over 100 new functions have been added, including dozens of helper functions specifically for intuitive data overlay operations. Over 40 Cytoscape apps have implemented automation support so far, making hundreds of additional operations accessible via RCy3. Two-way conversion with networks from igraph and graph ensures interoperability with existing network biology workflows and dozens of other Bioconductor packages. These capabilities are demonstrated in a series of use cases involving public databases, enrichment analysis pipelines, shortest path algorithms and more. With RCy3, bioinformaticians will be able to quickly deliver reproducible network biology workflows as integrations of Cytoscape functions, complex custom analyses and other R packages.
- Citations
- 117
- FWCI
- 3.65
- Field percentile
- top 5%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- RCX - an R package adapting the Cytoscape Exchange format for biological networks
Florian Auer, Frank Krämer·Bioinformatics AdvancesPeer-reviewed·Jan 1, 2022
- CyChat: a conversational Cytoscape app for no-code, reproducible network analysis
Jeanine Liebold, Merle Stahl, … Jan Baumbach·bioRxiv·Sep 1, 2026
- Reproducible data integration and visualization of biological networks in R
Florian Auer, Hryhorii Chereda, … Frank Krämer·bioRxiv·Apr 15, 2022
- Arena3D 3.0: a web server for exploring, analyzing, annotating and sharing multilayered networks in 3D
Evangelos Karatzas, Fotis A. Baltoumas, … Georgios A. Pavlopoulos·bioRxiv·Oct 29, 2026
- HiCAGE: an R package for large-scale annotation and visualization of 3C-based genomic data
Michael J. Workman, Tiago C. Silva, … Dennis J. Hazelett·bioRxiv·May 5, 2018
- gen3DNet: An R Package for Generating 3D Network Models
Paul Morrison, Tina Tang, … Shamim Ara Mollah·bioRxiv·Nov 11, 2024