RCX

RCX converts and validates Cytoscape Exchange (CX) networks (JSON-based) to and from R native data structures to enable analysis, visualization, and exchange of biological networks.


Key Features:

  • Integration with CX format: Create, manage, validate, and visualize biological networks in the Cytoscape Exchange (CX) format within R while preserving Cytoscape visual layouts.
  • Conversion capabilities: Convert CX (JSON-based) networks into standard R data types and objects for downstream statistical and computational analysis.
  • NDEx integration: Connect R with the Network Data Exchange (NDEx) to export, import, and synchronize network data for exchange and storage.
  • Preservation of analytical results: Capture and retain results from network analyses within the CX format to maintain reproducible representations of analyses and visualizations.

Scientific Applications:

  • Genomics and proteomics network analysis: Convert and prepare interaction networks for statistical analysis of genomic and proteomic data in R.
  • Network visualization and interpretation: Preserve Cytoscape visual layouts and network structures to support interpretation of biological interactions and pathway representations.
  • Collaborative network sharing: Exchange and store network datasets via NDEx to support collaborative analysis and reproducibility in systems biology research.

Methodology:

Automated conversion and validation between CX (JSON-based) and R native data structures, preservation of Cytoscape visual layouts, capture of analysis results in CX, and integration with NDEx.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
3/30/2022
Last Updated:
3/30/2022

Operations

Publications

Auer F, Kramer F. RCX – an R package adapting the Cytoscape Exchange format for biological networks. Unknown Journal. 2021. doi:10.1101/2021.10.26.466001.