Metadata-Version: 1.1
Name: cno
Version: 0.1.4
Summary: CNO (Cell Net Optimiser): Manipulate, Visualise and Optimise Biological Networks to Perturbation Data.
Home-page: ['http://pypi.python.org/pypi/cno']
Author: Thomas Cokelaer
Author-email: cokelaer@ebi.ac.uk
License: BSD
Download-URL: ['http://pypi.python.org/pypi/cno']
Description: cellnopt/cno
        =============
        
        .. image:: https://badge.fury.io/py/cellnopt.svg
            :target: https://pypi.python.org/pypi/cno
        
        .. image:: https://secure.travis-ci.org/cellnopt/cellnopt.png
            :target: http://travis-ci.org/cellnopt/cellnopt
        
        .. image:: https://coveralls.io/repos/cellnopt/cellnopt/badge.png?branch=master 
           :target: https://coveralls.io/r/cellnopt/cellnopt?branch=master 
        
        .. image:: https://landscape.io/github/cellnopt/cellnopt/master/landscape.png
           :target: https://landscape.io/github/cellnopt/cellnopt/master
        
        .. image:: https://badge.waffle.io/cellnopt/cellnopt.png?label=ready&title=Ready 
           :target: https://waffle.io/cellnopt/cellnopt
        
        :Note: Cellnopt is tested under Python2.7 and portage to Python3 is on the way
        :Contributions: Please join `cellnopt github project <https://github.com/cellnopt/cellnopt>`_ and share your
                         `notebooks <https://github.com/cellnopt/cellnopt/tree/master/notebooks>`_
        :Issues: Please use `cellnopt issues and bug report <https://github.com/cellnopt/cellnopt/issues>`_
        :Documentation: Some documentation (mostly API) are also available on `pypi <http://pythonhosted.org//cno/>`_
        
        This is a stable version that contains datasets and tools to manipulate
        models and data sets used in CellNOpt project. The sub-package cno.io is ready and 
        is a replacement for `cellnopt.core <https://pypi.python.org/pypi/cellnopt.core>`_ package.
        cno.datasets sub-package is a replacement for `cellnopt.data <https://pypi.python.org/pypi/cellnopt.data>`_ package.
        
        As for the formalisms, pipelines are provided for each formalism and are available in the 
        boolean, ode and fuzzy packages. 
        
        :See also: http://www.cellnopt.org for the context.
        
        Installation
        ===============
        
        From Pypi / pip::
        
            sudo pip install cno
            
        From github::
        
            # Get the source either from http
            git clone http://github.com/cellnopt/cellnopt.git
            # or SSH
            # git clone git@github.com:cellnopt/cellnopt.git
            cd cellnopt
            sudo python setup.py install
        
        
        
        
        
        
        
Keywords: CellNOpt,CellNOptR,CNO,Logical model,SBML,SIF,Boolean,ODE,Fuzzy,Optimisation,Protein Network
Platform: Linux
Platform: Unix
Platform: MacOsX
Platform: Windows
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
