HMM-based orthogroups
Project description
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OrthoHMM infers gene orthology using Hidden Markov Models.
If you found orthohmm useful, please cite OrthoHMM: Improved Inference of Ortholog Groups using Hidden Markov Models. Steenwyk et al. 2024, bioRxiv. doi: 10.1101/2024.12.07.627370.
Performance
As of v0.2.0, OrthoHMM ships a built-in profile HMM + k-mer prefilter
search engine that replaces the phmmer subprocess. It scales to 100
bacterial proteomes (~352K total proteins) on a single 32-core node:
| proteomes | wall time | peak RAM | orthogroups |
|---|---|---|---|
| 5 | 13s | 0.29 GB | 1,196 |
| 20 | 4 min | 0.44 GB | 8,680 |
| 60 | 28 min | 1.65 GB | 19,029 |
| 100 | 77 min | 4.67 GB | 27,328 |
Numbers from the bacterial scaling benchmark (RefSeq, 32 threads, 1 TB
node). The legacy phmmer path is still available via
--search_mode phmmer but is no longer the default.
This documentation covers downloading and installing OrthoHMM. Details about each function as well as tutorials for using OrthoHMM are available in the online documentation.
Quick Start
1. Install external dependencies
OrthoHMM has one external dependency — mcl — that can't be installed using pip. Download and install it from the website linked above.
HMMER is optional and only required if you opt into the legacy --search_mode phmmer pipeline; the default built-in search engine has no HMMER dependency.
2. Install OrthoHMM
# install
pip install orthohmm
# run
orthohmm <path_to_directory_of_FASTA_files>
Installation
If you are having trouble installing OrthoHMM, please contact the lead developer, Jacob L. Steenwyk, via email or Bluesky to get help.
1. Install external dependencies
OrthoHMM has one external dependency — mcl — that can't be installed using pip. Download and install it from the website linked above.
HMMER is optional and only required if you opt into the legacy --search_mode phmmer pipeline; the default built-in search engine has no HMMER dependency.
2a. Install OrthoHMM from pip
To install using pip, we recommend building a virtual environment to avoid software dependency issues. To do so, execute the following commands:
# create virtual environment
python -m venv venv
# activate virtual environment
source venv/bin/activate
# install orthohmm
pip install orthohmm
Note, the virtual environment must be activated to use orthohmm.
After using OrthoHMM, you may wish to deactivate your virtual environment and can do so using the following command:
# deactivate virtual environment
deactivate
2b. Install OrthoHMM from source
Similarly, to install from source, we recommend using a virtual environment. To do so, use the following commands:
# download
git clone https://github.com/JLSteenwyk/orthohmm.git
cd orthohmm/
# create virtual environment
python -m venv venv
# activate virtual environment
source venv/bin/activate
# install
make install
To deactivate your virtual environment, use the following command:
# deactivate virtual environment
deactivate
Note, the virtual environment must be activated to use orthohmm.
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