The Next-Generation Toolkit for Simulation-Driven Biological Discovery
We are pleased to announce the release of StochSS Live: Stochastic Simulation Service. StochSS Live is a complete rewrite of StochSS, our earlier Software-as-a-Service platform providing state-of-the-art tools to streamline and accelerate the development of robust quantitative models of complex biological and biochemical systems, with powerful new features including machine-learning- aided parameter inference and tools for exploring the parameter space, guided by interactive semi-supervised learning and harnessing the computational power of cloud computing. Check it out at: https://live.stochss.org/
- Model building user interface
- Create your model in minutes
- Preview simulations on the same page
- Workflows: Simulate, analyze, and visualize your model
- Ensemble simulations, parameter sweeps, parameter inference
- Convert to a Jupyter Notebook for custom analysis
- GillesPy2: Fast simulation of well-mixed systems
- Fast stochastic (SSA) and deterministic (ODE) solvers
- Hybrid stochastic/deterministic solver: use stochastic dynamics when populations are low, and switch automatically to deterministic simulation for greater efficiency when populations become larger
- Event, rate, and assignment rules
- Sciope: SCalable Inference, Optimization, and Parameter Exploration
- Machine learning- aided parameter inference
- Model exploration: interactive semi-supervised learning on large distributed parameter sweep
- SpatialPy: Spatial stochastic simulation
- Simulate 3D reaction-diffusion models using stochastic (sSSA) or deterministic (PDE) solvers
- Analyze results using an interactive 3D visualization tool
- SBML compliant: the standard of model interoperability
Features:
We invite you to use StochSS for your model based scientific endeavors. Go to https://stochss.org to learn more, and https://github.com/stochss/stochss to contribute.
-Linda Petzold, Brian Drawert, and Andreas Hellander for the StochSS team