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setup.py
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#! /usr/bin/env python3
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright 2020 dejunlin <[email protected]>
# Created at 2020-02-12 23:01 on [email protected]
# Usage: setup.py
# Description: Compute HiCRep reproducibility stratum-corrected correlation score (SCCS).
# Reference: Genome Res. 2017 Nov;27(11):1939-1949. doi: 10.1101/gr.220640.117
# The algorithm first normalizes the input contact matrices by the total
# number of contacts and then for each chromosome: 1) mean-filter the input
# matrices with an input window size; 2) exclude common zero entries in
# the input matrices; 3) compute the SCC score. It doesn't have the
# procedure to bootstrap the window-size parameter
#
# Distributed under terms of the GNU General Public License v3.0.
import setuptools
setuptools.setup(
name="hicrep",
python_requires=">=3.7.6",
version="0.2.6",
description="Python implementation of HiCRep stratum-adjusted correlation coefficient of Hi-C data with sparse contact matrix support",
long_description="see https://github.com/dejunlin/hicrep",
long_description_content_type="text/markdown",
url="https://github.com/dejunlin/hicrep.git",
author="Dejun Lin",
author_email="[email protected]",
license="GPLv3",
classifiers=[
"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
],
packages=["hicrep"],
include_package_data=True,
install_requires=[
"Deprecated",
"numpy>=1.17.0",
"scipy",
"cooler",
"pandas",
"h5py",
],
entry_points={"console_scripts": ["hicrep=hicrep:main"]},
data_files = [("", ["LICENSE.txt"])]
)