Stochastic Rule Builder (SRB) Code
Modeling framework for capturing positional and temporal dynamics
Status: Pre-Alpha
Brought to you by:
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File | Date | Author | Commit |
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DATA | 2014-08-15 |
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[6cf574] Initial commit |
KnoxUtils.py | 2015-07-03 |
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[910829] Updates for consistency and added version into ... |
README.txt | 2015-07-10 |
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[54b561] Modified to meet TCBB revisions required |
SRB.py | 2015-07-10 |
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[c91b24] Modified to meet TCBB revisions required |
SRB_Sample.ini | 2015-07-03 |
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[910829] Updates for consistency and added version into ... |
SRB_Sample.mk | 2015-02-07 |
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[5ce5aa] Updated source and documentation to match manus... |
SRB_Sample1.sh | 2015-07-10 |
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[c91b24] Modified to meet TCBB revisions required |
SRB_Sample2.sh | 2015-07-10 |
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[c91b24] Modified to meet TCBB revisions required |
SRB_Tutorial.pdf | 2015-07-03 |
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[702f04] Added note about JVM memory size for DIZZY |
SRB_Visualizer.py | 2015-07-10 |
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[c91b24] Modified to meet TCBB revisions required |
# # Copyright (2011-2015) University of Colorado # All Rights Reserved # Author: David Knox # The is the README file for the Stochastic Rule Builder (SRB). A tutorial is available in the SRB_Tutorial.pdf file with detailed explanations of the applications and the parameters. The SRB builds models using the SRB.py application. Models are simulated using the DIZZY simulation engine (available at: http://magnet.systemsbiology.net/software/Dizzy/1.11.4/download.html). The results from the simulation can be visualized with a character representation by the SRB_Visualizer.py application. The KnoxUtils.py file provides a generic set of utility routines used in both the SRB and SRB_Visualizer applications. We provide a set of sample files and data files for parameterization. The files in the data directory provide the model builder and visualizer with information required for parameters. The sample files provided show an example that models the IME4 region of a yeast genome. Installation: There are a number of libraries used by the SRB code base and must be installed prior to running the SRB application sample scripts. numpy pylab or scipy matplotlib Tamo The SRB uses Dizzy as the rule simulator. Dizzy must be installed prior to running the SRB application sample scripts. Stochastic Rule Builder (SRB) software available at: http://sourceforge.net/projects/stochasticrulebuilder/ TAMO available at: http://fraenkel.mit.edu/TAMO/ DIZZY available at: http://magnet.systemsbiology.net/software/Dizzy/ Running sample scripts: The sample scripts must be edited to reflect the correct paths for SRB and Dizzy. The Dizzy script for running models (runmodel.sh) must be edited to increase the memory allocated in the Java Virtual Machine. Change the -Xmx option to -Xmx4g to use 4 GB.