Skip to main content

Microbial community modeling based on cobrapy.

Project description

https://github.com/micom-dev/micom/raw/master/docs/source/_static/micom.png

travis status appveyor status coverage pypi status

micom is a Python package for metabolic modeling of microbial communities developed in the Human Systems Biology Group of Prof. Osbaldo Resendis Antonio at the National Institute of Genomic Medicine Mexico and the Gibbons Lab at the Institute for Systems Biology.

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 16S rRNA sequencing experiments. It allows optimization with a variety of algorithms modeling the trade-off between egoistic growth rate maximization and cooperative objectives.

Attribution

Micom is described in a recent preprint that you can cite. If you have any questions contact us at oresendis (at) inmegen.gob.mx. Thanks :smile:

Installation

micom is available on PyPi and can be installed via

pip install micom

Getting started

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

micom-0.9.10.tar.gz (105.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

micom-0.9.10-py2.py3-none-any.whl (112.7 kB view details)

Uploaded Python 2Python 3

File details

Details for the file micom-0.9.10.tar.gz.

File metadata

  • Download URL: micom-0.9.10.tar.gz
  • Upload date:
  • Size: 105.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.7

File hashes

Hashes for micom-0.9.10.tar.gz
Algorithm Hash digest
SHA256 25a47480cdf1f840fb687de55cad23574c9b3e4c9fed31b9160ed1a7c5ad7283
MD5 1fba4da1230d7236d8db256c3c47c280
BLAKE2b-256 5a08616070b0d10ea2e8424bb02d192ec2c1d91661cfee325d20965b0edeede5

See more details on using hashes here.

File details

Details for the file micom-0.9.10-py2.py3-none-any.whl.

File metadata

  • Download URL: micom-0.9.10-py2.py3-none-any.whl
  • Upload date:
  • Size: 112.7 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.7

File hashes

Hashes for micom-0.9.10-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 6246168fdd7c72961b10a7ef9bf710f983f681f1ebc5cb035b7291678ab6f441
MD5 ffa264f575775df86f6107e608fe6f58
BLAKE2b-256 192068c1c525f000c7e8d44bd8780f0a08235445199568e2e03aa4c9b4885a37

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page