Metadata-Version: 2.1
Name: biometrics
Version: 0.2.15
Summary: Package to generate sample based biometrics.
Home-page: https://github.com/msk-access/biometrics
Author: Charlie Murphy
Author-email: murphyc4@mskcc.org
License: Apache Software License 2.0
Keywords: biometrics
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.5
License-File: LICENSE
License-File: AUTHORS.rst
Requires-Dist: networkx
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: plotly
Requires-Dist: pysam
Requires-Dist: pyvcf3
Requires-Dist: python-dateutil
Requires-Dist: pytz
Requires-Dist: retrying
Requires-Dist: six

# biometrics

Package to generate sample based biometrics

[![Build Status](https://travis-ci.com/msk-access/biometrics.svg?branch=master)](https://travis-ci.com/msk-access/biometrics) [![PyPi](https://img.shields.io/pypi/v/biometrics.svg?)](https://pypi.python.org/pypi/biometrics)

* Free software: Apache Software License 2.0
* Documentation: https://msk-access.gitbook.io/biometrics/
* GitHub: https://github.com/msk-access/biometrics/

## Installation

From pypi:

`pip install biometrics`

From conda (python v3.6 only):

`conda create -n myenv -c bioconda -c conda-forge -c msk-access python=3.6 biometrics`


=======
History
=======

0.2.15 (2023-06-17)
-------------------

* Fixing Non-ASCII character error by using avg read qual instead of the default value
* Added option -het to include heterozygous sites in the calculation of discordant rate.

0.1.1 (2021-01-07)
------------------

* First release on PyPI.
