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