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. bioRxiv. 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-0.0.8.tar.gz (33.5 kB view details)

Uploaded Source

Built Distribution

jlsteenwyk_biokit-0.0.8-py2.py3-none-any.whl (63.3 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file jlsteenwyk-biokit-0.0.8.tar.gz.

File metadata

  • Download URL: jlsteenwyk-biokit-0.0.8.tar.gz
  • Upload date:
  • Size: 33.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.6

File hashes

Hashes for jlsteenwyk-biokit-0.0.8.tar.gz
Algorithm Hash digest
SHA256 89e92271afad537e2e4b9a21ae5b4de583e9ce1b55b492b8675fe3b4f2f70346
MD5 3b22a8a109175992fbee05c9ab415612
BLAKE2b-256 f27cb095297247bb1d7bf83b6824e2d7e90954016499a70a8842331513d31936

See more details on using hashes here.

File details

Details for the file jlsteenwyk_biokit-0.0.8-py2.py3-none-any.whl.

File metadata

  • Download URL: jlsteenwyk_biokit-0.0.8-py2.py3-none-any.whl
  • Upload date:
  • Size: 63.3 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.6

File hashes

Hashes for jlsteenwyk_biokit-0.0.8-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 85d2ce484b81f6af6dab3460c3edfffc91b5173bae105439964cfc1e09957a48
MD5 f0b6ee12f5668c152cd6ed4bbe7e171c
BLAKE2b-256 78b186327c581015141de18ce65043caf1df5cf8df9130ccb316cb4b0fb7fcac

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