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pyproject.toml
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[build-system]
requires = ["setuptools>=42", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "deepnog"
version = "1.2.3"
description = "Deep learning tool for protein orthologous group assignment"
readme = "README.md"
authors = [
{ name = "Roman Feldbauer", email = "[email protected]" }
]
keywords = [
"deep-learning", "neural-networks",
"bioinformatics", "computational-biology",
"protein-families", "orthologous-groups", "orthology", "eggnog"
]
classifiers = [
"Development Status :: 4 - Beta",
"Environment :: Console",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: BSD License",
"Operating System :: POSIX :: Linux",
"Operating System :: MacOS :: MacOS X",
"Operating System :: Microsoft :: Windows",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Scientific/Engineering :: Artificial Intelligence"
]
requires-python = ">=3.7"
dependencies = [
"numpy",
"pandas",
"scikit-learn",
"torch>=1.2",
"Biopython",
"PyYAML",
"tqdm",
"tensorboard",
]
[project.urls]
homepage = "https://github.com/univieCUBE/deepnog"
documentation = "https://deepnog.readthedocs.io/en/latest/?badge=latest"
source = "https://github.com/univieCUBE/deepnog"
tracker = "https://github.com/univieCUBE/deepnog/issues"
[project.optional-dependencies]
test = ["pytest"]
[tool.setuptools]
packages = [
"deepnog",
"deepnog.client",
"deepnog.config",
"deepnog.data",
"deepnog.learning",
"deepnog.models",
"deepnog.utils",
"deepnog.tests",
]
[tool.setuptools.package-data]
"deepnog" = ["utils/certifi", "config/*.yml"]
"tests" = ["data/*.faa", "parameters/*.pth"]
[project.scripts]
deepnog = "deepnog.client:main"