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Python Interface for Residue-Residue Contact Predictions

Project description

A Python Interface to Contact Predictions

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ConKit is a Python library to provide a data object hierarchy and associated routine operations to work and manipulate residue-residue contact prediction data. Main features shipped with this library include:

  • Parsers for Multiple Sequence Alignment and contact prediction files
  • Analysis functions for Multiple Sequence Alignment and contact prediction data
  • Visualisation of Multiple Sequence Alignment and contact prediction data
  • Python wrappers for the contact-prediction-related software

For an overview of ConKit, watch this video.

Installation & Usage

Please refer to ConKit’s documentation.

Contributing

There are two ways by which you can contribute to ConKit:

  1. Submit any suggestions to the GitHub Issue Tracker, or
  2. Fork this repository, commit your changes and submit a pull request.

Found a Bug?

Please use the GitHub Issue Tracker.

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
conkit-0.11.2.tar.gz (81.2 kB) Copy SHA256 hash SHA256 Source None Aug 24, 2018

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