Skip to main content

HMM-based orthology

Project description

Logo

Docs · Report Bug · Request Feature

follow on Twitter

OrthoHMM infers gene orthology using Hidden Markov Models.

If you found orthohmm useful, please cite *COMING SOON *. Steenwyk et al. 2024, [JOURNAL]. doi: DOI.



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

# 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 twitter to get help.

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

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

orthohmm-0.0.0.tar.gz (16.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

orthohmm-0.0.0-py2.py3-none-any.whl (17.2 kB view details)

Uploaded Python 2Python 3

File details

Details for the file orthohmm-0.0.0.tar.gz.

File metadata

  • Download URL: orthohmm-0.0.0.tar.gz
  • Upload date:
  • Size: 16.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.13

File hashes

Hashes for orthohmm-0.0.0.tar.gz
Algorithm Hash digest
SHA256 491d224d421134ce3748514fa2a1961433ca53eebc01f7b9421b8949e2230f7a
MD5 71cba477ed8fe4529a0581017bd16b8b
BLAKE2b-256 826a6cc957b8fd11affe15c3fee5173ddb31041019f6a3467433f2efdf17a888

See more details on using hashes here.

File details

Details for the file orthohmm-0.0.0-py2.py3-none-any.whl.

File metadata

  • Download URL: orthohmm-0.0.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 17.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.13

File hashes

Hashes for orthohmm-0.0.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 24542cf54b4664437700fbe6381e5d3b532413e6ee4326893d89e0d257102256
MD5 0b0c33f1f8eab8c04899849470ea777f
BLAKE2b-256 f9aeadd71ea9db51070cb98d39f26550d606fa66239ab8bc5f7291c625999fa2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page