Metadata-Version: 2.1
Name: gadma
Version: 2.0.0rc1
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://travis-ci.com/ctlab/GADMA.svg?branch=master)](https://travis-ci.com/ctlab/GADMA) [![codecov](https://codecov.io/gh/ctlab/GADMA/branch/master/graph/badge.svg?token=F303UDEWDJ)](undefined)
        
        Welcome to GADMA v2!
        
        GADMA implements methods for automatic inferring 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, 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!**
        
        ### Documentation
        
        Full documentation including installation instructions, usage, examples and API are available [here](https://gadma.readthedocs.io).
        
        ### Contributors
        
        * Ekaterina Noskova
        
        * Vladimir Ulyantsev
        
        * 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](https://github.com/ctlab/GADMA/issues) on GitHub page of GADMA project 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>
        
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
