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MoNeT python package for MGDrivE data analysis

Project description

This module was created to accompany the MGDrivE and MoNeT projects to make the analysis of the spatiotemporal simulations of gene-drive spreads as seamless as possible.

It is also meant to serve as a platform to ensure the reproducibility of results of the publications from our research group at UC, Berkeley, as part of DARPA's: Safe Genes program and UCI Malaria Initiative.

Project Status

Out code is currently under beta testing by the gene-drive data analysis team: Biyonka Liang, Gillian Chu, Maya Shen. As well as under intense development by the dev team: Héctor M. Sánchez C., Víctor Ferman, and Sarafina Smith.

For some examples of how this package is being currently used, please follow this link.


It is highly recommended to download and install our anaconda environment:

conda env create -f MoNeT.yml -n MoNeT

To install from pypi with pip:

pip install MoNeT-MGDrivE

Alternatively, the package can be downloaded, and installed with:

pip install .

Make sure to have the following dependencies installed:


Project details

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