Skip to main content

Alignment trimming software for phylogenetics.

Project description

Logo

Docs · Report Bug · Request Feature

follow on Twitter

Run ClipKIT in the browser and leave the computing up to us!


ClipKIT is a fast and flexible alignment trimming tool that keeps phylogenetically informative sites and removes others.

If you found clipkit useful, please cite ClipKIT: a multiple sequence alignment trimming software for accurate phylogenomic inference. Steenwyk et al. 2020, PLOS Biology. doi: 10.1371/journal.pbio.3001007.





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


Quick Start

# install
pip install clipkit
# run
clipkit input.fa

Installation

If you are having trouble installing ClipKIT, 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 clipkit
pip install clipkit

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

After using ClipKIT, 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/ClipKIT.git
cd ClipKIT/
# 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 clipkit.


To install via anaconda, execute the following command:

conda install bioconda::clipkit

Visit here for more information: https://anaconda.org/bioconda/clipkit

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

clipkit-2.3.0.tar.gz (17.0 kB view details)

Uploaded Source

Built Distribution

clipkit-2.3.0-py2.py3-none-any.whl (19.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file clipkit-2.3.0.tar.gz.

File metadata

  • Download URL: clipkit-2.3.0.tar.gz
  • Upload date:
  • Size: 17.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.6

File hashes

Hashes for clipkit-2.3.0.tar.gz
Algorithm Hash digest
SHA256 6e4f39f7b0e99b89de17aa57a26d1a7c6a1c064203b4fd436b413ad7d2e57ce5
MD5 eb8e9bd92e18eded71916cad9b5f9cd1
BLAKE2b-256 1b345a0e07c98f34c7e424b2b349586b2801d8c14f39c36e59a9ce86607e6f87

See more details on using hashes here.

File details

Details for the file clipkit-2.3.0-py2.py3-none-any.whl.

File metadata

  • Download URL: clipkit-2.3.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 19.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.6

File hashes

Hashes for clipkit-2.3.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 2c975305078824a20241f7df137d469574f82cc97055f18e62cf355cd703bc4d
MD5 644fa333fb0eb866d847e41b930cfedc
BLAKE2b-256 5a80f6b304e0e0c67ea22ac3086ebcd72e369b435e1c979120efd8c95c87a706

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