A Python package for prediction and analysis in Microbiome based Remediation. Developed as part of the MiBiRem toolbox for Bioremediation.
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A collection of routines for data analysis on contaminant site data with the goal to predict if bioremediation is a feasible remediation strategy.
To install mibipret from GitHub repository, do:
git clone [email protected]:MiBiPreT/mibipret.git
cd mibipret
python -m pip install .Include a link to your project's full documentation here.
If you want to contribute to the development of mibipret, have a look at the contribution guidelines.
This package was created with the NLeSC/python-template.
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