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-1.1.3.tar.gz (37.3 kB view details)

Uploaded Source

Built Distribution

jlsteenwyk_biokit-1.1.3-py2.py3-none-any.whl (70.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file jlsteenwyk-biokit-1.1.3.tar.gz.

File metadata

  • Download URL: jlsteenwyk-biokit-1.1.3.tar.gz
  • Upload date:
  • Size: 37.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.6

File hashes

Hashes for jlsteenwyk-biokit-1.1.3.tar.gz
Algorithm Hash digest
SHA256 4f4d7ba24639873d3836e2db270140d43e03f03bfbc1237fc9c71e2ce8682676
MD5 d890b6b41fcb40115b91eef55b698164
BLAKE2b-256 eb057a3c4656360f27136d2f00f568e4edd5c0452f1b9ed47b650abf68c763a7

See more details on using hashes here.

File details

Details for the file jlsteenwyk_biokit-1.1.3-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for jlsteenwyk_biokit-1.1.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 db39a81c7250456e49ed767ea8d3756c44cc5760321fc042f98bcce3ee7dfc1b
MD5 c36a3056589df52d86272d3cae71de10
BLAKE2b-256 21c15a6224d312f576a3b236fcc363bdd4871d163ef01c4d4f824da8e21bc754

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