Metadata-Version: 1.2
Name: SNPknock
Version: 0.8.3
Summary: Generates knockoffs of HMMs and genetic data.
Home-page: https://github.com/msesia/snpknock-python
Author: Matteo Sesia
Author-email: msesia@stanford.edu
Maintainer: Matteo Sesia
Maintainer-email: msesia@stanford.edu
License: GPL-v3 license
Description: SNPknock
        ====================================
        
        SNPknock is a simple Python package for creating knockoffs of hidden Markov models and genetic data. 
        
        This package implements the algorithms described in the following papers:
        
         - "Gene hunting with hidden Markov model knockoffs", Sesia et al., Biometrika, 2019, https://dx.doi.org/10.1093/biomet/asy033
         - "Multi-resolution localization of causal variants across the genome", Sesia et al., bioRxiv, 2019, https://dx.doi.org/10.1101/631390
        
        Feature highlights:
        
        - Generate knockoffs for discrete Markov chains (DMC).
        - Generate knockoffs for hidden Markov models (HMM).
        - Generate knockoffs for genotype and haplotype data.
        - Provides a user-friendly interface for fitting an HMM to genetic data using the software fastPhase.
        
        If you want to learn about applying SNPknock to analyze data from large genome-wide association studies, see *KnockoffZoom*: https://msesia.github.io/knockoffzoom
        
        Released under the GPL-v3 license - see the file LICENSE in the source distribution.
        
Platform: OS Independent
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Requires: numpy (>=1.13.1)
Requires: Cython (>=0.26)
Provides: SNPknock
