A Python package for prediction and analysis in Microbiome based Remediation. Developed as part of the MiBiRem toolbox for Bioremediation.
A collection of routines for data analysis on contaminant site data with the goal to predict if bioremediation is a feasible remediation strategy.
Use pip to install the most recent stable release of mibiscreen as follows:
pip install mibiscreenTo install mibiscreen from the GitHub repository directly, do:
git clone [email protected]:MiBiPreT/mibiscreen.git
cd mibiscreen
python -m pip install .Note that this is the (possibly unstable) development version from the main branch. If you want a stable release, use the pip installation method instead.
You can find the project's full documentation here.
If you want to contribute to the development of mibiscreen, have a look at the contribution guidelines.
This package was created with the NLeSC/python-template.