Metadata-Version: 2.1
Name: gadma
Version: 2.0.0rc14
Summary: Genetic Algorithm for Demographic Inference
Home-page: https://github.com/ctlab/GADMA
Author: Ekaterina Noskova
Author-email: ekaterina.e.noskova@gmail.com
License: UNKNOWN
Description: # GADMA ![](http://jb.gg/badges/research-flat-square.svg)
        
        [![Docs](https://readthedocs.org/projects/gadma/badge/?version=latest)](https://gadma.readthedocs.io/en/latest/?badge=latest) [![Build status](https://github.com/ctlab/GADMA/workflows/build/badge.svg)](https://github.com/ctlab/GADMA/actions) [![codecov](https://codecov.io/gh/ctlab/GADMA/branch/master/graph/badge.svg?token=F303UDEWDJ)](https://codecov.io/gh/ctlab/GADMA) [![PyPI - Downloads](https://img.shields.io/pypi/dm/gadma)](https://pypistats.org/packages/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 a command-line tool**. Basic pipeline presents a series of launches of the genetic algorithm folowed by local search optimization and infers demographic history from the Allele Frequency Spectrum of multiple populations (up to three).<br/>
        GADMA features variuos optimization methods ([global](https://gadma.readthedocs.io/en/latest/api/gadma.optimizers.html#global-optimizers-list) and [local](https://gadma.readthedocs.io/en/latest/api/gadma.optimizers.html#local-optimizers-list) search algorithms) which may be used for [any general optimization problem](https://gadma.readthedocs.io/en/latest/api_examples/optimization_example.html).
        
        GADMA provides choice of several engines of demographic inference (this list will be extended in the future):
        
        * [∂a∂i](https://bitbucket.org/gutenkunstlab/dadi/)  developed by Ryan Gutenkunst
        * [*moments*](https://bitbucket.org/simongravel/moments/)  developed by Simon Gravel
        
        GADMA is implemented by Ekaterina Noskova (ekaterina.e.noskova@gmail.com)
        
        **GADMA is now of version 2!** See [Changelog](https://gadma.readthedocs.io/en/latest/changelogs.html).
        
        ### Documentation
        
        Please see [documentation](https://gadma.readthedocs.io) for more information including installation instructions, usage, examples and API.
        
        ### Contributors
        
        * Ekaterina Noskova
        
        * Vladimir Ulyantsev
        
        * Pavel Dobrynin
        
        ## Getting help
        
        [F.A.Q.](https://gadma.readthedocs.io/en/latest/faq.html)
        
        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](https://github.com/ctlab/GADMA/issues) on the GitHub page of GADMA with your question.
        
        ## Citations
        
        Please see full list of citations in [documentation](https://gadma.readthedocs.io/en/latest/citations.html).
        
        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>
        
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development
Description-Content-Type: text/markdown
