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        "author": "Will Bradshaw, Arian Sajina and Dario Valenzano",
        "author_email": "wbradshaw@age.mpg.de, asajina@age.mpg.de, Dario.Valenzano@age.mpg.de",
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        "description": "# AEGIS\n> Ageing of Evolving Genomes In Silico\n\nA highly versatile discrete numerical model of genome evolution - both sexual and asexual - for a population of agents whose fitness parameters are encoded age-specifically in bit arrays which are free to evolve due to mutation and recombination.\n\nThis is a software implementation of the model described in this [article](https://www.biorxiv.org/content/early/2016/01/26/037952) in section \"The Model\".\n\n## Who uses AEGIS?\n* [Valenzano Lab](http://valenzano-lab.age.mpg.de/)\n\n## Features\nAEGIS can:\n* simulate genome evolution in age-structured populations under a variety of evolutionary constraints\n* simulate both asexually and sexually reproducing populations\n* output simulation objects using [pickle](https://docs.python.org/2/library/pickle.html)\n* output recorded statistics to a [csv](https://en.wikipedia.org/wiki/Comma-separated_values)\n* generate figures from recorded statistics\n* run a simulation until the population has reached evolutionary equilibrium (i.e. the genetic constitution is not expected to change anymore)\n\n## Installation\nSince aegis has dependencies, you might want to put the installation in an isolated Python environment with [virtualenv](https://virtualenv.pypa.io/en/stable/).\nTo install just do:\n```shell\npip install mpi-age-aegis\n```\n\n## Usage\nA detailed usage tutorial with examples is provided on our [GitHub page](https://github.com/valenzano-lab/aegis).\n\n## Related articles\n* [An In Silico Model to Simulate the Evolution of Biological Aging](https://www.biorxiv.org/content/early/2016/01/26/037952)\n\n## Team\n* **Arian \u0160ajina**      (Arian.Sajina@age.mpg.de)\n* **William Bradshaw**  (William.Bradshaw@age.mpg.de)\n* **Dario Valenzano**   (Dario.Valenzano@age.mpg.de)\n\n## Licensing\nThis project is licensed under MIT license.\n\n## Acknowledgments\nThis project is developed in the [Valenzano Lab](http://valenzano-lab.age.mpg.de) of\nthe [Max Planck Institute for Biology of Ageing, Cologne](https://www.age.mpg.de).\nWe thank all the lab members and friends of the lab for their constructive\ncomments and suggestions.\n\n\n",
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