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StochSS

StochSS

StochSS: Model and simulate biochemical systems

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StochSS 1.9 Documentation

If you are interested in how StochSS is designed, or want to see examples of how it can be used for modeling and simulation, we recommend the paper on StochSS published in PLOS Computational Biology:

Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist

Download StochSS 1.9 (Legacy)

Tutorials
(Download as PDF)

Basic Introduction to StochSS

Prerequisites
Creating Administrator and Standard User Accounts
Importing a Model
Creating a New Model
Running a Simulation and Visualizing results
Backup and Transfer your Data

Sensitivity Analysis

Example: Michaelis-Menten

StochOptim: Parameter Estimation

Example: Estimate parameters of a birth-death model

Spatial Stochastic Simulations

Example: Annihilation of two species in a cylinder

Cloud Computing

Credentials
Job Reproduction
Cost Analysis

Parameter Sweeps

Visualization

Surface Renderings with Domain Clipping
Colorized Wireframe Meshes
Volume Rendering
Visualization in Interactive Jupyter Notebook

References

Technical Documents
StochSS user auth system (March 2014)
Notes on using custom reaction-diffusion meshes in StochSS
OLD: Notes on using custom reaction-diffusion meshes in StochSS (March 2014)

Use StochSS Online:

Login to StochSS Live!
Use our Software-as-a-Service platform to create, simulate, and analyze your models.

Contact Us:

Chat with us in Slack
Get Support and Ask Questions in our Google Group.

How to cite StochSS:

Please cite StochSS in any work that it is used to create:
Drawert B, Hellander A, Bales B, Banerjee D, Bellesia G, Daigle BJ Jr, et al. (2016) Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist. PLoS Comput Biol 12(12): e1005220. https://doi.org/10.1371/journal.pcbi.1005220

StochSS News

  • StochSS YouTube Channel
  • Need help? Join our Slack!
  • Watch our mini-tutorial from SIAM-CSE 21
  • StochSS tutorial at the SIAM-CSE 2021 conference
  • Epidemiological modeling in StochSS Live!

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