Bayesian inference of population size history from recombining sequence data.
Project description
phlash
phlash
Requirmements
- Python 3.10 or greater.
- An NVIDIA GPU. Any relatively recent model should work. phlash has been tested on:
- RTX 4090
- A40
- A100
- V100
Installation
The recommended way to install phlash is to into a separate virtual environment:
$ python3 -mvenv /path/to/phlash # replace with desired path
$ source /path/to/phlash/bin/activate
$ pip3 install -U pip setuptools # recent version of pip and setuptools are required
$ pip3 install git+https://github.com/jthlab/phlash@latest
phlash can also be installed from PyPI, however the usual pip install phlash
will fail
because of dependence on CUDA and Jax. Instead, you must type:
$ pip install \
-f "https://storage.googleapis.com/jax-releases/jax_cuda_releases.html" \
--extra-index-url "https://pypi.ngc.nvidia.com" \
phlash
Troubleshooting / FAQ
I (Jonathan) am happy to assist you with using phlash, as much as my time allows.
- If you encounter a bug (program crash or other unexpected behavior) please file an issue describing the bug.
- If you need help with anything else (installation, running the program, data formatting, interpreting the output, etc.) please open a discussion.
Making Changes & Contributing
Contributions (in the form of Github pull requests) to improve the project are always welcome!
This project uses pre-commit
_, please make sure to install it before making any
changes::
pip install pre-commit
cd phlash
pre-commit install
It is a good idea to update the hooks to the latest version::
pre-commit autoupdate
Project details
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