MGSurvE is a python project which optimizes mosquito traps' placement in complex heterogeneous landscapes in an effort to minimize the time to detection of genetic variants of interest. Our scientific paper is currently under review, but in the meantime please have a look at our preprint!

Please have a look at the documentation for more info and our pypi package for detailed installation instructions, and tutorials. Additionally, take a look at our upcoming webinar's materials for even more information and demonstrations of our package!

To install the package's latest stable version run (usage of anaconda for environment management is strongly recommended):

pip install MGSurvE

MGSurvE requires the installation of the DEAP optimization package, which should be installed automatically with our previous pip command. This package can also be installed with conda install -c conda-forge deap, if needed; or by having a look at DEAP's documentation for additional methods. Please have a look at our installation instructions for common issues with some of the dependencies. Alternatively, pre-build images from our Dockerhub can be pulled and used to avoid dependencies issues.

• Lead and Dev: Héctor M. Sánchez C.
• Former Devs: Elijah Bartolome, Lillian Weng, Ayden Salazar, Xingli Yu, Joanna Yoo, Topiltzin Hernandez
• PIs: David L. Smith, John M. Marshall