From a7eacd0c2eacf4e6a1dd30c2f1b2421ba13bb369 Mon Sep 17 00:00:00 2001 From: Dilawar Singh <dilawars@ncbs.res.in> Date: Wed, 18 May 2016 15:13:25 +0530 Subject: [PATCH] Updated readme file. --- README.md | 76 ++++++++++++++++++++++++++++++++++++++++++++++--------- 1 file changed, 64 insertions(+), 12 deletions(-) diff --git a/README.md b/README.md index 1ba7569e..f8d2f259 100644 --- a/README.md +++ b/README.md @@ -1,23 +1,75 @@ [](https://travis-ci.org/BhallaLab/moose) -This is the parent repository of [MOOSE simulator](https://moose.ncbs.res.in). It keeps the snanshots of components of MOOSE: core (written in C++) of MOOSE, python scripting interface, and its graphical user interface (GUI). This is your source -stable MOOSE code. +# About -# Building +MOOSE is the Multiscale Object-Oriented Simulation Environment. It is designed +to simulate neural systems ranging from subcellular components and biochemical +reactions to complex models of single neurons, circuits, and large networks. +MOOSE can operate at many levels of detail, from stochastic chemical +computations, to multicompartment single-neuron models, to spiking neuron +network models. - mkdir _build - cd _build - cmake .. - make - sudo make install +MOOSE is multiscale: It can do all these calculations together. For example it +handles interactions seamlessly between electrical and chemical signaling. MOOSE +is object-oriented. Biological concepts are mapped into classes, and a model is +built by creating instances of these classes and connecting them by messages. +MOOSE also has classes whose job is to take over difficult computations in a +certain domain, and do them fast. There are such solver classes for stochastic +and deterministic chemistry, for diffusion, and for multicompartment neuronal +models. MOOSE is a simulation environment, not just a numerical engine: It +provides data representations and solvers (of course!), but also a scripting +interface with Python, graphical displays with Matplotlib, PyQt, and OpenGL, and +support for many model formats. These include SBML, NeuroML, GENESIS kkit and +cell.p formats, HDF5 and NSDF for data writing. +This is the parent repository of [MOOSE simulator](https://moose.ncbs.res.in). +It keeps the snanshots of components of MOOSE: core (written in C++) of MOOSE, +python scripting interface, and its graphical user interface (GUI). This is your +source stable MOOSE code. -# Repositories +# VERSION -You can find detailed description of each MOOSE component in respective `README.md` in their repositories below: +This is MOOSE 3.0.2pre "Ghevar" + +# ABOUT VERSION 3.0.2, Ghevar + +The Ghevar release is the third of series 3 of MOOSE releases. + +Ghevar is a Rajasthani sweet with a stiff porous body soaked in sugar syrup. + +MOOSE 3.0.2pre is an evolutionary increment over 3.0.1:: + +- There has been substantial development on the multiscale modeling front, with +the implementation of the rdesigneur class and affiliated features. +- MOOSE can now read NeuroMorpho .swc files natively. + +# LICENSE + +MOOSE is released under the GNU General Public License as published by +the Free Software Foundation, either version 3 of the License, or (at +your option) any later version. + +# HOMEPAGE + +http://moose.ncbs.res.in/ + +# SOURCE REPOSITORY + +Old [SourceForge repository](https://sourceforge.net/projects/moose/) is no +longer maintained. Current source repository is hosted on +[github](https://github.com/BhallaLab/moose-core) with almost all revision +history. + +# Building and installing + +See the file `INSTALL.md`. + +# MOOSE repositories + +You can find detailed description of each MOOSE component in respective +`README.md` in their repositories below: - [MOOSE with python support](https://github.com/BhallaLab/moose-core) - [GUI](https://github.com/BhallaLab/moose-gui) - [Examples and Demos](https://github.com/BhallaLab/moose-examples) - -For more details about installation, checkout [moose wiki](https://github.com/BhallaLab/moose/wiki). +- [MOOGLI](https://github.com/BhallaLab/moogli) -- GitLab