BioSWITCH
BioSWITCH converts static gene regulatory networks encoded in the BioPAX standard into executable GINML logical models to enable simulation and prediction of cellular behavior.
Key Features:
- BioPAX integration: Processes and interprets networks encoded in the BioPAX standard for downstream conversion.
- GINML conversion and execution: Transforms BioPAX networks into GINML to produce logical models that can be executed for dynamic analysis.
- Automated network processing: Automates the de-coding and re-coding of gene network components during the conversion process.
- Model integration: Integrates BioPAX-derived models into existing GINML graphs to extend or merge network representations.
- Simulation and prediction: Enables simulation-based prediction of cellular behavior from the resulting logical network models.
Scientific Applications:
- Gene regulatory network dynamics: Modeling dynamic behavior of gene regulatory networks as executable logical models.
- Haematopoiesis modeling: Application to gene networks involved in haematopoiesis to study lineage and regulatory dynamics.
- Cellular response prediction: Predicting cellular responses under physiological or pathological conditions, including responses to drug treatments.
Methodology:
Converts BioPAX-formatted gene regulatory networks to GINML; performs automated de-coding and re-coding of network elements; integrates BioPAX-derived models into existing GINML graphs; applied to a previously published haematopoiesis gene network as a case study.
Topics
Details
- License:
- MIT
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 2/4/2021
Operations
Publications
Pavillet CE, Voukantsis D, Buffa FM. Switching On Static Gene Regulatory Networks to Compute Cellular Decisions. Unknown Journal. 2020. doi:10.1101/2020.05.29.122200.