Metadata-Version: 2.1
Name: pyMSA
Version: 0.8.1
Summary: Scoring Multiple Sequence Alignments with Python
Home-page: https://github.com/benhid/pyMSA
Author: Antonio Benítez-Hidalgo, Antonio J. Nebro
Author-email: antonio.b@uma.es
Maintainer: Antonio Benítez-Hidalgo
Maintainer-email: antonio.benitez@lcc.uma.es
License: MIT
Description: <p align="center">
          <br/>
          <img src=resources/pymsa.png alt="pyMSA">
          <br/>
        </p>
        
        # Scoring Multiple Sequence Alignments with Python
        [![Build Status](https://img.shields.io/travis/benhid/pyMSA.svg?style=flat-square)](https://travis-ci.org/benhid/pyMSA)
        [![PyPI License](https://img.shields.io/pypi/l/pyMSA.svg?style=flat-square)]()
        [![PyPI Python version](https://img.shields.io/pypi/pyversions/pyMSA.svg?style=flat-square)](https://pypi.org/project/pyMSA/)
        
        pyMSA is an open source software tool aimed at providing a number of scores for
        multiple sequence alignment (MSA) problems. A [tutorial](resources/tutorial-pymsa.pdf) about pyMSA is available in the resources folder of the proyect.
        
        ## Features
        
        Score functions implemented:
        
        * Sum of pairs,
        * Star,
        * Minimum entropy,
        * Percentage of non-gaps,
        * Percentage of totally conserved columns *and*
        * STRIKE (**S**ingle s**TR**ucture **I**nduced **E**valuation).
        
        ## Downloading
        
        To download PyMSA just clone the Git repository hosted in GitHub:
        ```bash
        $ git clone https://github.com/benhid/pyMSA.git
        $ python setup.py install
        ```
        
        Alternatively, you can install it with `pip`:
        ```bash
        $ pip install pyMSA
        ```
        
        ## Usage
        An example of running all the included scores is located in the [`example`](examples/) folder.
        
        <p align="center">
          <br/>
          <img src=resources/terminal.png width=600 alt="Terminal session">
          <br/>
        </p>
        
        ## Authors
        ### Active development team
        * [Antonio Benítez-Hidalgo](https://benhid.com/) <antonio.b@uma.es>
        * [Antonio J. Nebro](http://www.lcc.uma.es/~antonio) <antonio@lcc.uma.es>
        
        ## License
        This project is licensed under the terms of the MIT - see the [LICENSE](LICENSE) file for details.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3
Description-Content-Type: text/markdown
