A tool to infer Hierarchical Orthologous Groups (HOGs) from pairwise orthologs
Project description
Motivation
GETHOGs is a library to infer hierarchical orthologous groups from pairwise evolutionary relationship and its related reference species tree. Infered HOGs are provided as orthoXML ( see http://orthoxml.org.). GETHOGs can be used as a python library or using the CLI script in the bin folder.
For extended documentation, please check the related paper “Clément-Marie Train, Natasha M. Glover, Gaston H. Gonnet, Adrian M. Altenhoff, Christophe Dessimoz; Orthologous Matrix (OMA) algorithm 2.0: more robust to asymmetric evolutionary rates and more scalable hierarchical orthologous group inference, Bioinformatics, Volume 33, Issue 14, 15 July 2017, Pages i75–i82, https://doi.org/10.1093/bioinformatics/btx229” or look at the docs folder that contain information on common use cases and API documentation of the library.
Installation
GETHOGs is written in python3.
Consider using pip to install the package directly from a checked out git repo
python -m pip install --upgrade pip
pip install gethogs
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file gethogs-1.1.1.tar.gz
.
File metadata
- Download URL: gethogs-1.1.1.tar.gz
- Upload date:
- Size: 17.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 58fd62fec958d96555c74acee24d645457ce1b33c939fdcf55b8ac2492fcf967 |
|
MD5 | 620ca0a8e6af7dfee2aeb97700f3bdfb |
|
BLAKE2b-256 | 739642c98b5d45f56868a56e33059686de66c62801ec62e98326d9e0e4c7d70f |
File details
Details for the file gethogs-1.1.1-py3-none-any.whl
.
File metadata
- Download URL: gethogs-1.1.1-py3-none-any.whl
- Upload date:
- Size: 19.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b790b2356f2595ac199c3ae988f3aba8141d4f7434c652b306b6e5bc40168f09 |
|
MD5 | 0a6f5313e100f9def0df15943453b4fd |
|
BLAKE2b-256 | 8680636f9a9797442a2e8ac4eb347605635312207b15f7493fe9cb574cf58731 |