Metadata-Version: 2.1
Name: geometricus
Version: 0.1.2
Summary: Fast, structure-based, alignment-free protein embedding
Home-page: https://github.com/TurtleTools/geometricus
Author: Janani Durairaj, Mehmet Akdel
Author-email: janani.durairaj@wur.nl
License: MIT License
Description: <p align="center"><img src="geometricus_logo.png" width="300" title="Geometricus Logo"></p>
        
        [![PyPI version](https://badge.fury.io/py/geometricus.svg)](https://badge.fury.io/py/geometricus)
        
        # Geometricus Represents Protein Structures as Shape-mers derived from Moment Invariants
        
        A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.
        
        See the [documentation](https://turtletools.github.io/geometricus/)
        
        TODO: Add link to paper
        
        ## Installation
        Geometricus is a Python (3.7+) package with NumPy, SciPy, Numba and ProDy as dependencies. 
        
        Install with `pip install geometricus`
        
        ## Usage
        See the [Getting Started](https://turtletools.github.io/geometricus/getting_started) page for example usage.
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Description-Content-Type: text/markdown
