Skip to main content

Microbial Metabolic interactions

Project description

MMinte (pronounced /‘minti/) is a set of widgets that allows you to explore the pairwise interactions (positive or negative) that occur in a microbial community. From an association network and 16S rDNA sequence data, MMinte identifies corresponding genomes, reconstructs metabolic models, estimates growth under specific metabolic conditions, analyzes pairwise interactions, assigns interaction types to network links, and generates the corresponding network of interactions.

Installation

Use pip to install MMinte from PyPI (we recommend doing this inside a virtual environment):

pip install mminte

How to cite MMinte

If you use MMinte for an analysis, please cite this paper: MMinte: an application for predicting metabolic interactions among the microbial species in a community

References

The models provided in the mminte/test/data folder are from Anoxic Conditions Promote Species-Specific Mutualism between Gut Microbes In Silico.

The 16S sequences present in the database were provided by Maulik Shukla on the 3rd of November of 2015.

Project details


Download files

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

Source Distribution

mminte-0.2.4.tar.gz (6.0 MB view hashes)

Uploaded source

Supported by

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