EXSIMO
EXSIMO integrates models, data, and code within an automated execution environment to enable reproducible computational simulations across platforms.
Key Features:
- Models, Data, and Code: Encapsulates models, datasets, parameters, and scripts required to execute simulations.
- Testing Frameworks: Incorporates testing mechanisms for models, data, and code to ensure accuracy and reliability of simulation outcomes.
- Automation Layer: Automates execution of tests and analyses to streamline computational workflows.
- Version Control: Tracks changes in models, data, and code to preserve provenance and transparency.
- Annotations and Units: Provides detailed annotations and standardized units for simulation components.
- Continuous Integration and Release: Automates testing and release processes to maintain quality across the analysis lifecycle.
Scientific Applications:
- Replication of hepatic glucose metabolism in the liver: Used to reproduce a study of hepatic glucose metabolism in the liver, demonstrating reproducible and verifiable simulation results.
Methodology:
Integrates models, data, and code within an automated execution environment; applies testing frameworks to models, data, and code; uses an automation layer to execute tests and analyses; and employs version control, annotations and units, and continuous integration and release.
Topics
Details
- Tool Type:
- library
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 3/8/2021
Operations
Publications
König M. Executable Simulation Model of the Liver. Unknown Journal. 2020. doi:10.1101/2020.01.04.894873.
Downloads
- Container filehttps://hub.docker.com/r/matthiaskoenig/exsimo