Metadata-Version: 2.1
Name: crnt4sbml
Version: 0.0.2
Summary: CRNT4SBML is a cross-platform and easily installable Python based package. CRNT4SBML is concentrated on providing a simple workflow for the testing of core CRNT methods directed at detecting bistability in cell signaling pathways endowed with mass action kinetics.
Home-page: https://github.com/PNNL-Comp-Mass-Spec/CRNT4SBML
Author: Brandon Reyes
Author-email: reyesb123@gmail.com
License: Apache Software License 2.0
Keywords: crnt4sbml
Platform: ALL
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: networkx (>=2.3)
Requires-Dist: python-libsbml (>=5.18.0)
Requires-Dist: numpy (>=1.16.4)
Requires-Dist: sympy (>=1.4)
Requires-Dist: scipy (>=1.3.0)
Requires-Dist: matplotlib (>=3.1.0)
Requires-Dist: antimony (>=2.11.0)
Requires-Dist: libroadrunner (==1.5.2.1)
Requires-Dist: rrplugins (>=1.2.2)

=========
CRNT4SBML
=========


.. image:: https://img.shields.io/pypi/v/crnt4sbml.svg
        :target: https://pypi.python.org/pypi/crnt4sbml

..
    .. image:: https://img.shields.io/travis/PNNL-Comp-Mass-Spec/CRNT4SBML.svg
        :target: https://travis-ci.org/PNNL-Comp-Mass-Spec/CRNT4SBML

.. image:: https://readthedocs.org/projects/crnt4sbml/badge/?version=latest
        :target: https://crnt4sbml.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status

CRNT4SBML is a cross-platform and easily installable Python based package. CRNT4SBML is concentrated on providing a
simple workflow for the testing of core CRNT methods directed at detecting bistability in cell signaling pathways
endowed with mass action kinetics.

* Free software: Apache Software License 2.0
* Documentation: https://crnt4sbml.readthedocs.io.


Features
--------

* Routine for testing of the Deficiency Zero and One Theorems.
* Routine for running the mass conservation approach.
* Routine for running the semi-diffusive approach.


Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======

0.0.1 (2019-08-22)
------------------

* First release on PyPI.

0.0.2 (2019-08-23)
------------------

* Addition of Cytoscape functionality.

