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<pre>StochSS: Stochastic Simulation Service, is an integrated development environment
for modeling and simulation of discrete stochastic biochemical systems.<span style="mso-spacerun:yes"> </span>
An easy to use GUI enables researchers to quickly develop and simulate biological
models on a desktop or laptop, which can then be expanded or combined to incorporate
increasing levels of complexity.<span style="mso-spacerun:yes"> </span>As the demand for computational power increases,
StochSS is able to seamlessly scale up by deploying cloud computing resources.<span style="mso-spacerun:yes"> </span>
The software currently supports simulation of ODE and well-mixed discrete stochastic models,
parameter estimation of discrete stochastic models, and simulation of spatial stochastic models.<span style="mso-spacerun:yes"> </span><o:p></o:p>
New capabilities of Version 1.8 include: <o:p></o:p>
- Parameter Sweep tool facilitates 1D/2D parameter sweeps for all models <o:p></o:p>
- Integration of Jupyter Notebooks on job result pages for post-processing analysis <o:p></o:p>
- Status page updates for filtering and automatic forwarding of running->finished jobs <span style="mso-spacerun:yes"> </span><o:p></o:p><o:p> </o:p>
For more details and instructions on how to obtain the code, visit us at <a href="http://www.StochSS.org">www.StochSS.org</a>.<span style="mso-spacerun:yes"> </span><o:p></o:p><o:p> </o:p>
Linda Petzold and Chandra Krintz <o:p></o:p>University of California Santa Barbara<span style="mso-spacerun:yes"> </span><o:p></o:p><o:p> </o:p>
Per Lötstedt and Andreas Hellander <o:p></o:p>Uppsala University<o:p></o:p>
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