cobra 0.4.2b1

COBRApy is a package for constraints-based modeling of biological networks

cobrapy

COnstraint-Based Reconstruction and Analysis (COBRA) methods are widely used for genome-scale modeling of metabolic networks in both prokaryotes and eukaryotes. COBRApy is a constraint-based modeling package that is designed to accommodate the biological complexity of the next generation of COBRA models and provides access to commonly used COBRA methods, such as flux balance analysis, flux variability analysis, and gene deletion analyses.

To install, please follow the instructions.

The documentation is browseable online at readthedocs and can also be downloaded.

Please use the Google Group for help. More information about opencobra is available at the website.

If you use cobrapy in a scientific publication, please cite doi:10.1186/1752-0509-7-74

License

The cobrapy source is released under both the GPL and LGPL licenses. You may choose which license you choose to use the software under. However, please note that binary packages which include GLPK (such as the binary wheels distributed at https://pypi.python.org/pypi/cobra) will be bound by its license as well.

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License or the Lesser GNU General Public License as published by the Free Software Foundation, either version 2 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

Installation of cobrapy

For installation help, please use the Google Group. For usage instructions, please see the documentation.

---

All releases require Python 2.7+ or 3.4+ to be installed before proceeding. Mac OS X (10.7+) and Ubuntu ship with Python. Windows users without python can download and install python from the python website. Please note that though Anaconda and other python distributions may work with cobrapy, they are not explicitly supported (yet!).

Stable version installation

cobrapy can be installed with any recent installation of pip. Instructions for several operating systems are below:

Mac OS X or Linux

0. install pip.

1. In a terminal, run sudo pip install cobra

Microsoft Windows

The preferred installation method on Windows is also to use pip. The latest Windows installers for Python 2.7 and 3.4 include pip, so if you use those you will already have pip.

1. In a terminal, run C:\Python27\Scripts\pip.exe install cobra (you may need to adjust the path accordingly).

To install without pip, you will need to download and use the appropriate installer for your version of python from the python package index.

Hacking version installation

Use pip to install Cython. Install libglpk using your package manger. This would be brew install homebrew/science/glpk on a Mac and sudo apt-get install libglpk-dev on debian-based systems (including Ubuntu and Mint). GLPK can also be compiled from the released source.

Clone the git repository using your preferred mothod. Cloning from your own github fork is recommended! Afterwards, open a terminal, enter the cobrapy repository and run the following command:

python setup.py develop --user

Installation of optional dependencies

Optional Dependencies

On windows, these can downloaded from [this site] (http://www.lfd.uci.edu/~gohlke/pythonlibs/). On Mac/Linux, they can be installed using pip, or from the OS package manager (e.g brew, apt, yum).

1. libsbml >= 5.10 to read/write SBML level 2 files

   • Windows installer

   • Use sudo pip install python-libsbml on Mac/Linux

2. lxml to speed up read/write of SBML level 3 files.

3. numpy >= 1.6.1 for double deletions

   • Windows installer

4. scipy >= 0.11 for ArrayBasedModel and saving to *.mat files.

   • Windows installer

Other solvers

cobrapy comes with bindings to the GNU Linear Programming Kit ([glpk] (http://www.gnu.org/software/glpk/)) using its own bindings called “cglpk” in cobrapy. In addition, cobrapy currently supports these linear programming solvers:

• ILOG/CPLEX (available with Academic and Commercial licenses).

• gurobi

• QSopt_ex esolver

• MOSEK

• coin-or clp and cbc through cylp.

ILOG/CPLEX, MOSEK, and Gurobi are commercial software packages that currently provide free licenses for academics and support both linear and quadratic programming. GLPK and clp are open source linear programming solvers; however, they may not be as robsut as the commercial solvers for mixed-integer and quadratic programming. QSopt_ex esolver is also open source, and can solve linear programs using rational operations, giving exact solutions.

Testing your installation

1. Start python

2. Type the following into the Python shell

from cobra.test import test_all
test_all()

You should see some skipped tests and expected failures, and the function should return False.