Metadata-Version: 2.1
Name: blockify
Version: 0.2.1
Summary: Fast and optimal genome segmentation with Bayesian blocks
Home-page: https://github.com/arnavm/blockify
Author: Arnav Moudgil
Author-email: amoudgil@wustl.edu
License: UNKNOWN
Description: <!--# blockify-->
        [![Build Status](https://travis-ci.org/arnavm/blockify.svg?branch=dev)](https://travis-ci.org/arnavm/blockify
        )
        [![Documentation Status](https://readthedocs.org/projects/blockify/badge/?version=latest)](https://blockify.readthedocs.io/en/latest/?badge=latest)
        
        Fast, mathematically optimal genome segmentation with Bayesian blocks
        
        ## Installation
        
        `pip install blockify`
        
        The earliest production-ready version of blockify is 0.1.2.
        
        ## Usage
        
        Blockify is available as both a Python library and a command line executable.
        
        To use in Python:
        ```python
        from blockify import annotation
        from blockify import segmentation
        from blockify import normalization
        from blockify import downsampling
        ```
        
        To use from the command line:
        `blockify -h`
        
        For more details, please see the [documentation](https://blockify.rtfd.io).
        
        ### Development
        
        To actively develop blockify, clone from GitHub and switch to the
        development branch:
        
        ```
        git clone https://github.com/arnavm/blockify.git
        cd blockify
        git checkout dev
        ```
        
        Unit tests are available from the top-level directory:
        
        ```
        python -m unittest tests.test_basic
        ```
        
        Two batteries of tests are provided: `tests.test_basic` and
        `tests.test_advanced`. For routine development, the basic set of tests
        should be sufficient. The advanced suite takes much more time and
        fetches several large datasets. It is best used when making major
        changes to the code.
        
        ## Disclaimer
        
        Not to be confused with the [similarly-named Spotify plugin](https://github.com/serialoverflow/blockify).
        
Keywords: genomics,segmentation,bayesian
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 5 - Production/Stable 
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.4
Description-Content-Type: text/markdown
