Cytoscape Automation

Cytoscape Automation enables scripted control of Cytoscape to automate network biology analyses and support reproducible, scalable workflows.

Key Features:

• Integration with Workflow Systems: Integrates Cytoscape functions into scientific programming environments including Python and R within Jupyter Notebooks and RStudio to enable scripted workflows.
• REST-API Accessibility: Exposes over 270 core Cytoscape functions and 34 additional apps via a RESTful API with standardized JSON interfaces for programmatic access.
• Native Interface Libraries: Provides native Python and R interface libraries that permit programmatic invocation of Cytoscape Automation endpoints from those languages.

Scientific Applications:

• Reproducible, scalable network analysis: Automates complex network workflows to produce consistent results across datasets and studies in network biology research.
• Large-scale biological data analysis: Enables automated network-based analyses of genomics and proteomics datasets where manual interaction with Cytoscape would be impractical.
• Integration into analysis pipelines: Facilitates incorporation of Cytoscape functionality into larger data analysis pipelines for network biology investigations.

Methodology:

Uses a RESTful architecture with standardized JSON interfaces to expose Cytoscape functionality, provides programmatic access to over 270 core functions and 34 apps, and is callable from Python and R (e.g., via Jupyter Notebooks and RStudio) through native interface libraries.