Metadata-Version: 2.1
Name: tstrait
Version: 0.1.0
Summary: Quantitative trait simulation of tree sequence data
Home-page: https://tskit.dev/tstrait/
Download-URL: https://pypi.python.org/pypi/tstrait
Maintainer: Tskit Developers
Maintainer-email: admin@tskit.dev
License: MIT
Project-URL: Bug Tracker, https://github.com/tskit-dev/tstrait/issues
Project-URL: Documentation, https://tskit.dev/tstrait/docs/
Project-URL: Source Code, https://github.com/tskit-dev/tstrait
Keywords: gwas,population genetics,quantitative trait,simulation,statistical genetics,tree sequence,tskit
Platform: POSIX
Platform: Windows
Platform: MacOS X
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: MacOS
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.20.3
Requires-Dist: numba>=0.57.0
Requires-Dist: pandas>=1.0
Requires-Dist: tskit>=0.5.5
Provides-Extra: tests
Requires-Dist: msprime; extra == "tests"
Requires-Dist: pytest; extra == "tests"
Requires-Dist: scipy; extra == "tests"

# tstrait

**tstrait** is a quantitative trait simulator of [tskit](https://tskit.readthedocs.io/) tree sequences.

- Documentation: https://tskit.dev/tstrait/docs/
- Source code: https://github.com/tskit-dev/tstrait
- Tree sequence documentation: https://tskit.dev/learn/

It provides:
- Simulation of quantitative traits
- Simulation of genetic effect sizes from various distributions
- Simulation of pleiotropic phenotypes
- Simulation of environmental noise
- Computation of individual genetic values given the effect sizes of causal mutations
