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Functions to manipulate networks and data related to signalling pathways.

Project description

The package cellnopt.core provides tools to manipulate networks and data related to signalling pathways. It provides I/O functions for SIF, MIDAS, SOP formats and a convenient graph data structure called CNOGraph.

Here is a simple example that creates a graph and plots it using dot/graphviz:

from cellnopt.core import *
c = CNOGraph()
c.add_reaction("A=B")
c.add_reaction("A+B=C")
c.plotdot()

For a full documentation, see the sphinx documentation in the ./doc directory.

Installation note

cellnopt.core has a dependencies on pandas, which requires cython. So, you must install cython first.

All other dependencies should be installed automatically (networkx, numpy, matplotlib)

pip install cython
pip install cellnopt.core

Project details


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cellnopt.core-0.5.0.tar.gz (1.2 MB view hashes)

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