To cite MGDrivE in publications use:

S├ínchez Castellanos H, Bennett J, Wu S, Marshall J (2019). “MGDrivE: A modular simulation framework for the spread of gene drives through spatially explicit mosquito populations.” Methods in Ecology and Evolution. doi:10.1111/2041-210X.13318,,

Corresponding BibTeX entry:

    title = {MGDrivE: A modular simulation framework for the spread of
      gene drives through spatially explicit mosquito populations},
    author = {H{\'e}ctor Manuel {S{\'a}nchez Castellanos} and Jared
      Bennett and Sean Wu and John M. Marshall},
    year = {2019},
    doi = {10.1111/2041-210X.13318},
    publisher = {British Ecological Society},
    abstract = {Malaria, dengue, Zika and other mosquito-borne diseases
      continue to pose a major global health burden through much of the
      world, despite the widespread distribution of insecticide-based
      tools and antimalarial drugs. The advent of CRISPR/Cas9-based
      gene editing and its demonstrated ability to streamline the
      development of gene drive systems has reignited interest in the
      application of this technology to the control of mosquitoes and
      the diseases they transmit. The versatility of this technology
      has enabled a wide range of gene drive architectures to be
      realized, creating a need for their population-level and spatial
      dynamics to be explored. We present MGDrivE (Mosquito Gene Drive
      Explorer): a simulation framework designed to investigate the
      population dynamics of a variety of gene drive architectures and
      their spread through spatially explicit mosquito populations. A
      key strength of the MGDrivE framework is its modularity: (a) a
      genetic inheritance module accommodates the dynamics of gene
      drive systems displaying user-defined inheritance patterns, (b) a
      population dynamic module accommodates the life history of a
      variety of mosquito disease vectors and insect agricultural
      pests, and (c) a landscape module generates the metapopulation
      model by which insect populations are connected via migration
      over space. Example MGDrivE simulations are presented to
      demonstrate the application of the framework to CRISPR/Cas9-based
      homing gene drive for: (a) driving a disease-refractory gene into
      a population (i.e. population replacement), and (b) disrupting a
      gene required for female fertility (i.e. population suppression),
      incorporating homing-resistant alleles in both cases. Further
      documentation and use examples are provided at the project's
      Github repository. MGDrivE is an open-source r package freely
      available on CRAN. We intend the package to provide a flexible
      tool capable of modelling novel inheritance-modifying constructs
      as they are proposed and become available. The field of gene
      drive is moving very quickly, and we welcome suggestions for
      future development.},
    url = {},
    eprint =
    journal = {Methods in Ecology and Evolution},