Skip to main content

No project description provided

Project description

Logo

Docs · Report Bug · Request Feature

follow on Twitter

BioKIT is a UNIX shell toolkit for processing molecular sequence data.

If you found biokit useful, please cite the following: BioKIT: a versatile toolkit for processing and analyzing diverse types of sequence data. Genetics. doi: 10.1101/2021.10.02.462868.


This documentation covers downloading and installing BioKIT. Details about each function as well as tutorials for using BioKIT are available in the online documentation.


Installation

If you are having trouble installing BioKIT, please contact the lead developer, Jacob L. Steenwyk, via email or twitter to get help.

To install using pip, we strongly 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 biokit
pip install jlsteenwyk-biokit

Note, the virtual environment must be activated to use biokit.

After using biokit, 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 strongly recommend using a virtual environment. To do so, use the following commands:

# download
git clone https://github.com/JLSteenwyk/BioKIT.git
cd biokit/
# 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 biokit.


To install via anaconda, execute the following command:

conda install -c jlsteenwyk jlsteenwyk-biokit

Visit here for more information: https://anaconda.org/JLSteenwyk/jlsteenwyk-biokit


To test biokit installation, launch the help message

biokit -h

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

jlsteenwyk-biokit-1.0.1.tar.gz (37.1 kB view details)

Uploaded Source

Built Distribution

jlsteenwyk_biokit-1.0.1-py2.py3-none-any.whl (69.5 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file jlsteenwyk-biokit-1.0.1.tar.gz.

File metadata

  • Download URL: jlsteenwyk-biokit-1.0.1.tar.gz
  • Upload date:
  • Size: 37.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.6

File hashes

Hashes for jlsteenwyk-biokit-1.0.1.tar.gz
Algorithm Hash digest
SHA256 976ca04e59e11672f077ab13f87ebdeb2a36f2d24d9ede57fcca4140bc0e671c
MD5 3190a26c498de739fccb6bd50a42eb59
BLAKE2b-256 2b9c49459c0f5e68048e0d9384a0a4b18a652ead828eda2fdc56831980ec24a4

See more details on using hashes here.

File details

Details for the file jlsteenwyk_biokit-1.0.1-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for jlsteenwyk_biokit-1.0.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 7f434420d4ea7b0ab76cd8e1e6dbe2aa4e74952d99da0bbc033f722371fe9049
MD5 c92fcfa8d5bbbba3cec22b681ef693e7
BLAKE2b-256 dc32d44c3bb7cf53abfdbd1e9ba8c2f95c33be44ded99b44ff64c4878ee72766

See more details on using hashes here.

Supported by

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