HyDe: Hybridization Detection Using Phylogenetic Invariants
Publication:
Blischak, P. D., J. Chifman, A. D. Wolfe, and L. S. Kubatko. 2018. HyDe: A Python Package For Genome-Scale Hybridization Detection. Systematic Biology, doi: https://doi.org/10.1093/sysbio/syy023.
Read the Docs
HyDe is a software package that detects hybridization in phylogenomic data sets using phylogenetic invariants. The primary interface for HyDe is a Python module called phyde (Pythonic Hybridization Detection). phyde provides a suite of tools for performing hypothesis tests on triples of taxa to detect hybridization. To ensure that the necessary dependencies for phyde are available, we suggest using a Python distribution such as Miniconda.
To facilitate analyses using the Python module, three scripts are provided to conduct hybridization detection analyses directly from the command line:
run_hyde.py: runs a standard hybridization detection analysis on all triples in all directions. Results are also filtered based on whether there is significant evidence for hybridization.
individual_hyde.py: tests each individual within a putative hybrid population using a list of specified triples specified.
bootstrap_hyde.py: conducts bootstrap resampling of the individuals within the putative hybrid lineages for each specified triple.
These last two scripts need to be given a three column table of triples (P1, Hybrid, P2) that you wish to test:
sp1 sp2 sp3
sp1 sp3 sp4
sp3 sp4 sp5
.
.
.
You can also use a results file from a previous analysis as a triples file. For example, you can use the filtered results from the run_hyde.py script so that you only run analyses on triples that have significant levels of hybridization. If you only have a few hypotheses that you want to test, then you can also pass a triples file to run_hyde.py and it will only test those hypotheses rather than testing everything.
Multithreaded versions of these scripts are also available (run_hyde_mp.py, individual_hyde_mp.py, and bootstrap_hyde_mp.py). Make sure you have the multiprocess module installed before you use them.
Graphical User Interface (Beta)
We have also developed a graphical user interface (GUI) for single-threaded hybridization detection analyses with HyDe. Users can supply file names and other options in the GUI window and hit Run or <Return> to run analyses.
Getting Help
If you have questions about running HyDe, please feel free to use the gitter chatroom to get help:
If you have a problem while running HyDe and you think it may be a bug, please consider filing an issue:
Installation
Requirements:
Python 3.9+
Python Modules:
cython
numpy
multiprocess
progress (optional: needed for GUI)
C++ compiler
# To install dependencies -- add 'progress' if you're using the GUI
python3 -m pip install -r requirements.txt
# Clone HyDe repository from GitHub
git clone https://github.com/pblischak/HyDe.git
cd HyDe
# Now install phyde module
python3 -m pip install .
# Test the installation
make test
# Test multithreaded scripts
make test_threads
The phyde module is also hosted on the Python Package Index (PyPI), and can be installed directly using pip.
# Install from PyPI with pip
pip install phyde
Documentation for analyzing data using HyDe can be found here.
Metadata
Release files for phyde 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| phyde-1.0.2.tar.gz | 1.1 MB | Details |
Release files / phyde-1.0.2.tar.gz
| Download URL | phyde-1.0.2.tar.gz |
|---|---|
| Size | 1.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
810297eae4d8c72d9ee466b9783378eb3a3aeebdcc4331cd5ddf69d3b031ae15
|
|
BLAKE2b-256 checksum How to use checksums |
2b5121b8265da2e33e0e6f832615562e01861b2b53ca8889bce62c33501e2c53
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.9
|