micom


Namemicom JSON
Version 0.34.1 PyPI version JSON
download
home_pagehttps://github.com/micom-dev/micom
SummaryMicrobial community modeling based on cobrapy.
upload_time2024-04-04 20:15:08
maintainerNone
docs_urlNone
authorChristian Diener
requires_python>=3.7
licenseApache License 2.0
keywords microbiome microbiota modeling metabolism community metabolic modeling
VCS
bugtrack_url
requirements cobra jinja2 scikit-learn scipy symengine osqp coverage pytest pytest-cov sphinx nbsphinx sphinx-book-theme sphinx-autoapi recommonmark
Travis-CI No Travis.
coveralls test coverage No coveralls.
            .. image:: https://github.com/micom-dev/micom/raw/main/docs/source/micom.png
    :width: 640 px

|actions status| |coverage| |pypi status| |mastodon|

Welcome
-------

`MICOM` is a Python package for metabolic modeling of microbial
communities currently developed in the
`Gibbons Lab <https://gibbons.systemsbiology.org>`_ at the `Institute for Systems
Biology <https://systemsbiology.org>`_ and the
`Human Systems Biology Group <https://resendislab.github.io>`_ of
Prof. Osbaldo Resendis Antonio at the `National Institute of Genomic
Medicine Mexico <https://inmegen.gob.mx>`_.

`MICOM` allows you to construct a community model from a list on input
COBRA models and manages exchange fluxes between individuals and individuals
with the environment. It explicitly accounts for different abundances of
individuals in the community and can thus incorporate data from biomass quantification,
cytometry, ampliconsequencing, or metagenomic shotgun sequencing.

It identifies a relevant flux space by incorporating an ecological model for the trade-off
between individual taxa growth and community-wide growth that shows good agreement with
experimental data.

Attribution
-----------

MICOM is published in

::

      MICOM: Metagenome-Scale Modeling To Infer Metabolic Interactions in the Gut Microbiota
      Christian Diener, Sean M. Gibbons, Osbaldo Resendis-Antonio
      mSystems 5:e00606-19
      https://doi.org/10.1128/mSystems.00606-19

Please cite this publication when referencing MICOM. Thanks :smile:

Installation
------------

`MICOM` is available on PyPi and can be installed via

.. code:: bash

    pip install micom

For more info on the installation or setting up the solvers please see the `documentation <https://micom-dev.github.io/micom>`_ .

Getting started
---------------

Documentation can be found at https://micom-dev.github.io/micom .

Getting help
------------

General questions on usage can be asked in Github Discussions
    https://github.com/micom-dev/micom/discussions

We are also available on the cobrapy Gitter channel
    https://gitter.im/opencobra/cobrapy

Questions specific to the MICOM Qiime2 plugin (q2-micom) can also be asked on the Qiime2 forum
    https://forum.qiime2.org/c/community-plugin-support/

.. |actions status| image:: https://github.com/micom-dev/micom/actions/workflows/pythonpackage.yml/badge.svg
   :target: https://github.com/micom-dev/micom/actions/workflows/pythonpackage.yml
.. |coverage| image:: https://codecov.io/gh/micom-dev/micom/branch/main/graph/badge.svg
   :target: https://codecov.io/gh/micom-dev/micom
.. |pypi status| image:: https://img.shields.io/pypi/v/micom.svg
   :target: https://pypi.org/project/micom/
.. |mastodon| image:: https://img.shields.io/mastodon/follow/109960852316221526?domain=https%3A%2F%2Fmstdn.science&style=social
   :target: https://mstdn.science/@micom




            

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