Genetic Algorithm for Demographic Inference
Project description
GADMA
Welcome to GADMA v2!
GADMA implements methods for automatic inference of the joint demographic history of multiple populations from the genetic data.
GADMA is based on two open source packages: the ∂a∂i developed by Ryan Gutenkunst [https://bitbucket.org/gutenkunstlab/dadi/] and the moments developed by Simon Gravel [https://bitbucket.org/simongravel/moments/].
In contrast to these packages, GADMA is a command-line tool. It presents a series of launches of the genetic algorithm and infer demographic history from Allele Frequency Spectrum of multiple populations (up to three).
GADMA is implemented by Ekaterina Noskova (ekaterina.e.noskova@gmail.com)
GADMA is now of version 2! See Changelog.
Documentation
Full documentation including installation instructions, usage, examples and API are available here.
Contributors
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Ekaterina Noskova
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Vladimir Ulyantsev
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Pavel Dobrynin
Getting help
Please don't be afraid to contact me for different problems and offers via email ekaterina.e.noskova@gmail.com. I will be glad to answer all questions.
Also you are always welcome to create an issue on the GitHub page of GADMA with your question.
Citation
If you use GADMA in your research please cite:
Ekaterina Noskova, Vladimir Ulyantsev, Klaus-Peter Koepfli, Stephen J O’Brien, Pavel Dobrynin, GADMA: Genetic algorithm for inferring demographic history of multiple populations from allele frequency spectrum data, GigaScience, Volume 9, Issue 3, March 2020, giaa005, https://doi.org/10.1093/gigascience/giaa005
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