RCyjs
RCyjs connects R to Cytoscape.js to enable interactive visualization and exploration of molecular interaction networks and biological pathways within bioinformatics workflows.
Key Features:
- Integration with Bioconductor: Connects to the Bioconductor ecosystem, enabling access to over 934 interoperable packages for high-throughput genomics and molecular biology analyses.
- Interoperability with R: Provides a programmatic interface between R and Cytoscape.js to transfer network data and attributes for combined statistical analysis and visualization.
- Interactive Visualization: Enables interactive exploration of complex graphs, including molecular interaction networks and biological pathways.
Scientific Applications:
- Visualization of Molecular Networks: Visualizing intricate biological pathways and interaction networks to interpret genomic and molecular data.
- Interdisciplinary Collaboration: Facilitating integration of statistical analyses in R with Cytoscape.js visualizations to support collaborative bioinformatics research.
Methodology:
Built on the Bioconductor framework and subject to Bioconductor's package review and continuous automated testing.
Topics
Collections
Details
- License:
- GPL-2.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M. Orchestrating high-throughput genomic analysis with Bioconductor. Nature Methods. 2015;12(2):115-121. doi:10.1038/nmeth.3252. PMID:25633503. PMCID:PMC4509590.