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33StochPy is a versatile stochastic modeling package which is designed for stochastic simulation of molecular control networks
44
5- File releases: http://sourceforge.net/projects/stochpy
6- Source code: https://github.com/SystemsBioinformatics/stochpy
5+ * File releases: http://sourceforge.net/projects/stochpy
6+ * Source code: https://github.com/SystemsBioinformatics/stochpy
77
88## Documentation
99
10- Documentation can be found in the user guide (see Documentation directory or http://stochpy.sourceforge.net/html/userguide.html )
10+ Documentation can be found in the user guide (see Documentation directory or in [ sourceforge ] ( http://stochpy.sourceforge.net/html/userguide.html ) )
1111
1212## Installation
1313
@@ -76,7 +76,7 @@ smod.PrintSpeciesMeans()
7676smod.PrintSpeciesStandardDeviations()
7777```
7878
79- ### Switch to data from trajectory 1 and show the means of each species
79+ ### Switch to data from trajectory 1 and show the means of each species
8080``` py
8181smod.GetTrajectoryData(1 )
8282smod.PrintSpeciesMeans()
@@ -159,7 +159,7 @@ smod.DoStochSim(method = 'FirstReactionMethod')
159159smod.DoTestsuite()
160160```
161161
162- ### Volume Models
162+ ### Volume Models
163163``` py
164164smod.Model(' dsmts-001-11.xml.psc' )
165165smod.DoStochSim(method = ' Direct' ,trajectories = 1000 ,end = 50 ,mode = ' time' )
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