Programmatic access to logical models in the Cell Collective modeling environment via a REST API.

Area of Science:

• Computational Biology
• Systems Biology
• Bioinformatics

Background:

• Cell Collective provides a web-based platform for creating, simulating, and analyzing logical models of biological systems.
• Accessing and integrating data from such platforms can be challenging for researchers using diverse computational tools.

Purpose of the Study:

• To introduce a Representational State Transfer (REST) Application Programming Interface (API) for the Cell Collective platform.
• To facilitate programmatic access to biological models, annotations, and simulation data.
• To enable easier data processing and integration into various research workflows.

Main Methods:

• Development of a REST API to serve Cell Collective data.
• Data output formatted in JavaScript Object Notation (JSON) for broad compatibility.
• API availability for accessing public models and user-created models.

Main Results:

• A functional REST API is now available for the Cell Collective platform.
• The API allows retrieval of models, annotations, and simulation data.
• JSON format ensures straightforward data parsing and utilization across different programming languages.

Conclusions:

• The Cell Collective REST API enhances data accessibility and interoperability for biological modeling research.
• Researchers can now programmatically access and integrate Cell Collective data into their analyses.
• This facilitates advanced computational studies and data-driven discoveries in systems biology.