Opencor

Opencor

OpenCOR is a cross-platform computational biology software tool that aims to facilitate the modeling, simulation, and analysis of biological systems. It is designed to support the CellML and SBML standards, which are widely used for modeling biological processes. OpenCOR is part of the broader movement towards open-source software in scientific research, promoting reproducibility, transparency, and collaboration in the computational biology community.

Overview

OpenCOR is built on a plugin-based architecture, allowing for flexibility and extensibility in its functionality. It supports a range of computational models and simulations, including ordinary differential equations (ODEs), partial differential equations (PDEs), and stochastic simulations. The software is designed to be user-friendly, catering to both the experienced computational biologist and those new to the field.

Features

• Model Editing and Simulation: OpenCOR provides tools for editing and simulating CellML and SBML models, with support for real-time simulation feedback and interactive parameter adjustments.
• Numerical Solvers: A variety of numerical solvers are integrated into OpenCOR, enabling it to handle a wide range of mathematical problems, from simple ODEs to complex PDEs.
• Visualization: The software includes advanced visualization tools for the analysis of simulation results, including graph plotting and data visualization.
• Python Scripting: OpenCOR supports Python scripting, allowing users to automate tasks, perform complex analyses, and extend the software's capabilities.

Applications

OpenCOR is used in a variety of applications within computational biology, including:

• Cardiac modeling: Simulating heart function and disorders.
• Neuroscience: Modeling neural dynamics and brain function.
• Drug discovery: Simulating drug interactions and pharmacokinetics.
• Systems biology: Understanding complex biological systems and networks.

Development and Community

OpenCOR is developed as an open-source project, with contributions from a global community of researchers, developers, and computational biologists. The project encourages contributions in the form of code, documentation, and feedback. The community around OpenCOR is active, with regular updates, tutorials, and support provided through various channels.

See Also

• Computational biology
• CellML
• SBML
• Systems biology
• Mathematical modeling