| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| pybrn-0.4.3.zip | 2014-04-10 | 72.5 kB | |
| pybrn-0.4.3.tar.gz | 2014-04-10 | 57.2 kB | |
| pybrn-0.4.2.tar.gz | 2013-11-16 | 57.1 kB | |
| pybrn-0.4.2.zip | 2013-11-16 | 72.3 kB | |
| README.txt | 2013-06-21 | 3.0 kB | |
| pybrn-0.4.1.zip | 2013-06-21 | 72.1 kB | |
| pybrn-0.4.1.tar.gz | 2013-06-21 | 56.9 kB | |
| pybrn-0.4.zip | 2012-10-15 | 70.3 kB | |
| pybrn-0.4.tar.gz | 2012-10-15 | 55.4 kB | |
| pybrn-0.3.zip | 2011-07-14 | 61.0 kB | |
| pybrn-0.3.tar.gz | 2011-07-14 | 47.0 kB | |
| pybrn-0.2.3.zip | 2011-04-26 | 56.4 kB | |
| pybrn-0.2.3.tar.gz | 2011-04-26 | 44.6 kB | |
| pybrn-0.2.2.zip | 2011-02-12 | 54.2 kB | |
| pybrn-0.2.2.tar.gz | 2011-02-12 | 42.4 kB | |
| pybrn-0.2.1.zip | 2011-02-10 | 54.1 kB | |
| pybrn-0.2.1.tar.gz | 2011-02-10 | 42.3 kB | |
| pybrn-0.2.zip | 2011-02-07 | 53.0 kB | |
| pybrn-0.2.tar.gz | 2011-02-07 | 41.3 kB | |
| Totals: 19 Items | 1.0 MB | 0 |
=====
pybrn
=====
pybrn is a Python package for the analysis of biochemical reaction
networks. It is mainly meant as a basic library for researchers
developing their own model analysis routines in Python. pybrn
currently features:
- basic model creation, data handling and evaluation
- import of SBML files into pybrn's data structures
- analysis of network conservation relations
- computation of steady states and steady state branches
- integration of the network's differential equation
The following interactive Python session shows some of the basic
features::
>>> import brn
>>> net = brn.fromSBML("doc/examples/simplenet.xml")
>>> print net
Reactions:
v1: -> 1*A; rate: 1
v2: 1*A -> 1*B; rate: k2 * A
v3: 1*B -> ; rate: k3 * B
<BLANKLINE>
Species initial conditions:
A = 0.0
B = 0.0
<BLANKLINE>
Parameter values:
k2 = 1.0
k3 = 1.0
default_compartment = 1.0
>>> net.steadystate()
array([ 1., 1.])
>>> t,x = net.simulate(list(xrange(11)))
Found integrator vode
>>> print t[-1], x[-1]
10.0 [ 0.9999546 0.9995006]
Installation
============
Software requirements
---------------------
Required software:
- Python version 2.x with x >= 5.
- NumPy: http://www.numpy.org/
Recommended software:
- libSBML with Python bindings version 3.4.1 or later:
http://sbml.org/Software/libSBML
required for importing SBML models
- SciPy: http://www.scipy.org
required for simulation and steady state computation
- sympy: http://code.google.com/p/sympy/
required for Jacobian computation and for using the Jacobian in
numerical computations
Optional software:
- Cython 0.14 or later:
http://www.cython.org
can be used for efficient network evaluation
- SUNDIALS library 2.3.0 with headers:
https://computation.llnl.gov/casc/sundials/main.html
can be used in combination with Cython for efficient network
simulation
Installation instructions
-------------------------
pybrn is installed via the Python setuptools. For standard
installation, simply run the following command in the package's root
directory::
python setup.py install
Depending on your system configuration, you may need administrator
rights to do the installation.
Testing the installation
------------------------
In order to test whether everything works, e.g. all required and
recommended packages are available, you can run the following test
command before installing the package::
python test/test_all.py
To test the minimal functionality without the need for any of the
recommended or optional packages, use the command::
python test/test_minimal.py
Usage
=====
The basic usage of pybrn is described in the ``TUTORIAL.txt`` file in
the ``docs`` subdirectory. Most of the functions are also documented
within the Python online help system, which can for example be
accessed by the command ``help(brn)``.
Copyright
=========
pybrn is (C) 2010-2013 by Steffen Waldherr, steffen.waldherr@ovgu.de
The package is licensed under the GPL v3, see the file LICENSE.txt for
more information.