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setup.py
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#!/usr/bin/env python
"""The setup script."""
from setuptools import setup, find_packages
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
requirements = [
'biopython>=1.76',
'Click>=8.0.1',
'joblib>=1.0.1',
'logomaker>=0.8',
'matplotlib>=3.3.4',
'MOODS-python>=1.9.4',
'numpy>=1.19',
'pandas>=1.1.5',
'jinja2>=2.11.3',
'PyYAML>=5.4.1',
'scikit-image>=0.17.2',
'scipy>=1.5.3',
'python-slugify>=5.0.0',
'statsmodels>=0.12.2',
'tensorflow>=2.5',
'tqdm>=4.61.2'
]
test_requirements = ['pytest>=3', ]
setup(
author="Nathaniel Delos Santos",
author_email='Nathaniel.P.DelosSantos@jacobs.ucsd.edu',
python_requires='>=3.6',
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
],
description="Motif Enrichment Positional Profiling (MEPP) quantifies a positional profile of motif enrichment along the length of DNA sequences centered on e.g. transcription start sites or transcription factor binding motifs.",
entry_points={
'console_scripts': [
'mepp=mepp.cli:main',
'mepp_run_single=mepp.single:run_single',
'getscoredfasta=mepp.get_scored_fasta:main',
'learnmotifs=mepp.learn_motifs:main',
'comparemotifs=mepp.compare_motifs:main'
],
},
install_requires=requirements,
license="MIT license",
long_description=readme + '\n\n' + history,
include_package_data=True,
keywords='mepp',
name='mepp',
packages=find_packages(include=['mepp', 'mepp.*']),
test_suite='tests',
tests_require=test_requirements,
url='https://github.com/npdeloss/mepp',
version='0.0.1',
zip_safe=False,
)