tfscreen/pyproject.toml at main · harmslab/tfscreen · GitHub

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[build-system]
requires = ["setuptools"]
build-backend = "setuptools.build_meta"

[tool.distutils.bdist_wheel]
universal = true

[tool.setuptools.dynamic]
version = { attr = "tfscreen.__version__.__version__" }

[tool.setuptools.package-data]
"*" = []

[project]
name = "tfscreen"
dynamic = ["version"]
dependencies = [
  "numpy",
  "pandas",
  "openpyxl",
  "matplotlib",
  "tqdm",
  "statsmodels",
  "PyYAML",
  "corner",
  "numba",
  "patsy",
  "pybktree",
  "pyfastx",
  "optax",
  "numpyro",
  "dill",
  "flax",
  "jax",
  "jaxlib",
  "h5py",
  "scipy",
]

requires-python = ">=3.10"
authors = [{ name = "Mike Harms", email = "harms@uoregon.edu" }]
maintainers = [{ name = "Mike Harms", email = "harms@uoregon.edu" }]
description = "Simulate or analyze a high-throughput screen of a transcription factor library"
readme = "README.rst"
license = { file = "LICENSE" }
keywords = [
  "high-throughput",
  "protein",
  "transcription factor",
  "analysis",
  "statistics",
  "simulation",
]
classifiers = [
  "Development Status :: 5 - Production/Stable",
  "Programming Language :: Python",
]

[project.urls]
Repository = "https://github.com/harmslab/tfscreen.git"
"Bug Tracker" = "https://github.com/harmslab/tfscreen/issues"

[project.optional-dependencies]
test = ["coverage", "flake8", "pytest", "genbadge", "pytest-mock"]
docs = ["pydata-sphinx-theme"]

[project.scripts]
tfs-process-fastq = "tfscreen.process_raw.process_fastq:main"
tfs-process-counts = "tfscreen.process_raw.process_counts:main"
tfs-hier-theta = "tfscreen.analysis.hierarchical.analyze_theta:main"
tfs-indep-theta = "tfscreen.analysis.independent.analyze_theta:main"
tfs-summarize-posteriors = "tfscreen.analysis.hierarchical.summarize_posteriors:main"