Metadata-Version: 2.4
Name: mimeco
Version: 0.1.12
Summary: Multi-objective GEMs metabolic interaction inference
Author: Anna Lambert
Author-email: Anna LAMBERT <anna.lambert@univ-nantes.fr>
Keywords: GEMs,Multi-objective linear programming,bioinformatics,metabolic modelling,community modelling
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Description-Content-Type: text/x-rst
License-File: LICENSE.md
Requires-Dist: pandas
Requires-Dist: cobra
Requires-Dist: scikit-learn
Requires-Dist: mocbapy
Dynamic: author
Dynamic: license-file

/MIMEco : Metabolic Interaction Modeling in Ecosystems
=======================================================

MIMEco is python package that explores communities metabolic interactions using multi-objective linear programming on GEnome-scale Metabolic models (GEMs). 
This tool automates the inference of interaction type, interaction score and exchanged metablites between two models in a given condition.

The concept of the methodology is described in Lambert, A., Budinich, M., Mahé, M., Chaffron, S., & Eveillard, D. (2024). Community metabolic modeling of host-microbiota interactions through multi-objective optimization. Iscience, 27(6). (http://doi.org/10.1016/j.isci.2024.110092)
Note : A technical note dedicated to this package will be published

.. image:: mimeco/resources/MIMEco_logo.png
  :width: 500
  :alt: MIMEco logo

Documentation
~~~~~~~~~~~~~

For detailed documentation, please go to `readthedocs : mimeco <https://mimeco.readthedocs.io/en/latest/>`_

Dependancies
~~~~~~~~~~~~~

To use MIMEco, you will need to download a solver, preferably CPLEX or gurobi. Both are free for academics, but require to get a license to be used at full capacity.
A tutorial on how to make gurobi work with mimeco is written in the `documentation <https://mimeco.readthedocs.io/en/latest/>`_

Installation
~~~~~~~~~~~~~

MIMEco is available on pyPI. You can install it with :code:`pip install mimeco`
