Newsflash

June 30 2009

Framework in place for standard graphical interface for MOOSE
simulations, using PyQt.

 
Welcome to Moose

MOOSE is the Multiscale Object-Oriented Simulation Environment. It is the base and numerical core for large, detailed simulations including Computational Neuroscience and Systems Biology.

 Architecture overview

MOOSE spans the range from single molecules to subcellular networks, from single cells to neuronal networks, and to still larger systems. it is backwards-compatible with GENESIS, and forward compatible with Python and XML-based model definition standards like SBML and MorphML.

MOOSE is coordinating with the GENESIS-3 project towards the goals of developing educational resources for modeling.

MOOSE is open source software, licensed under the LGPL (Lesser GNU Public License). It has absolutely no warranty. 

 
Development

Upinder S. Bhalla Primary Architect
Niraj DudaniFast neuronal solver
Subhasis RayPython interface
G.V.HarshaRaniWeb page
Raamesh DeshpandeNetwork simulations
Siji George Build and release management

Project Support

National Center of Biological Sciences (NCBS)
National Institutes of Health (NIH) Collaboration with Ravi Iyengar
EU-India grid
Department of Atomic Energy Science Research Council  (DAE/SRC)
Department of Biotechnology (DBT)

 
Subversion

The MOOSE project uses Subversion for version control. The repository is hosted at SourceForge.net. This should be your source for the latest version of the code.

Last checkin: 

Mon Jun 29 06:35:14 2009 UTC

Revision : 1179

Modified by : bhalla

Description :

Replaced GSL LU operations with a custom-written Gaussian

elimination routine for SteadyState.cpp. Added in a function

Stoich::startFromCurrentConcs which copies the current molecule

concs into the initial conc values, so that next time the simulation

is restarted it will begin from here.

 

History

 

Copyright (C) NCBS/TIFR 2007-2009