Metadata-Version: 2.1
Name: mlgenotype
Version: 0.1.7
Summary: A package with utilities for training classifiers to recognize SVs in short read datasets
Home-page: https://github.com/nhansen/mlgenotype
Author: Nancy F Hansen, Gracelyn Hill, Jennifer Lin
Author-email: "Nancy F. Hansen" <nhansen@mail.nih.gov>
Project-URL: Homepage, https://github.com/nhansen/mlgenotype
Project-URL: Bug Tracker, https://github.com/nhansen/mlgenotype/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE.md
Requires-Dist: pandas (>=1.0)
Requires-Dist: scikit-learn (==1.0.2)
Provides-Extra: dev
Requires-Dist: pylint (~=2.14.0) ; extra == 'dev'
Requires-Dist: toml (~=0.10.2) ; extra == 'dev'
Requires-Dist: yapf (~=0.32.0) ; extra == 'dev'
Provides-Extra: test
Requires-Dist: pytest-cov (~=3.0.0) ; extra == 'test'

# mlgenotype

This python package can be used to train machine learning models to genotype structural variants using aligned short read data. It was written by Nancy Fisher Hansen, a staff scientist in the Cancer Genetics and Comparative Genomics Branch (CGCG) of NHGRI, starting with code written by Gracelyn Hill and Jennifer C Lin.  Nancy can be reached at nhansen@mail.nih.gov.

## Software dependencies

- pandas >= 1.0
- scikit-learn >= 0.20

## Clone the repository

	git clone git://github.com/nhansen/mlgenotype



