{ "info": { "author": "Andrew E. Bruno", "author_email": "aebruno2@buffalo.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Environment :: Console", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License v3 (GPLv3)", "Programming Language :: Python", "Topic :: Scientific/Engineering :: Bio-Informatics" ], "description": "# A similarity metric for macromolecular crystallization conditions\n\n![Cockatoo][logo]\n\n## What is cockatoo?\n\ncockatoo is an implementation of a similarity metric used in the comparison of\nmacromolecular crystallization conditions (or cocktails).\n\nDocumention is online at: http://ubccr.github.io/cockatoo/\n\n## Install with Conda\n\nFirst download and installed either [Anaconda](https://www.anaconda.com/distribution/) or\n[Miniconda](https://docs.conda.io/en/latest/miniconda.html).\n\nCreate a new conda environment, checkout the cockatoo source code, and install\nthe 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