Metadata-Version: 1.1
Name: rstoolbox
Version: 1.0.1
Summary: management and analysis of design populations
Home-page: https://github.com/jaumebonet/RosettaSilentToolbox
Author: Jaume Bonet
Author-email: jaume.bonet@gmail.com
License: MIT
Project-URL: Documentation, http://jaumebonet.cat/RosettaSilentToolbox
Project-URL: Source, https://github.com/jaumebonet/RosettaSilentToolbox/
Project-URL: Tracker, https://github.com/jaumebonet/RosettaSilentToolbox/issues
Description: RosettaSilentToolbox
        ====================
        
        .. image:: https://travis-ci.org/jaumebonet/RosettaSilentToolbox.svg?branch=master
            :target: https://travis-ci.org/jaumebonet/RosettaSilentToolbox
            :alt: Build Status
        
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            :target: https://coveralls.io/github/jaumebonet/RosettaSilentToolbox?branch=master
            :alt: Coverage Status
        
        .. image:: https://codecov.io/gh/jaumebonet/RosettaSilentToolbox/branch/master/graph/badge.svg
            :target: https://codecov.io/gh/jaumebonet/RosettaSilentToolbox
            :alt: codecov
        
        .. image:: https://img.shields.io/pypi/pyversions/rstoolbox.svg
            :target: https://pypi.org/project/rstoolbox/
            :alt: Python Versions
        
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            :alt: Codacy Badge
        
        The ``rstoolbox`` is a python library aimed to the analysis and management of big populations of protein or nucleotide decoys.
        
        .. image:: https://img.shields.io/badge/bioRxiv%20preprint-doi.org/10.1101/428045-blue.svg
            :target: https://doi.org/10.1101/428045
            :alt: bioRxiv
        
        .. image:: https://img.shields.io/badge/BMC%20Bioinformatics-doi.org/10.1186/s12859--019--2796--3-green.svg
            :target: https://doi.org/10.1186/s12859-019-2796-3
            :alt: BMC Bioinformatics
        
        Although inspired by the output of the protein design tool **ROSETTA**, the library aims to be of a wider applicability, and can be
        easily set up to retrieve data from other design tools.
        
        It is particularly aimed towards two distinct user profiles:
        
        1. Protein designers comfortable with light scripting to process their data. Ideally, used to work with **Ipython**, for which this library has a particular affinity.
        2. Developers that develop new protein design tools/protocols/approaches and wish to benchmark their innovations with previously existing methods.
        
        See a working example notebook at:
        
        .. image:: https://mybinder.org/badge_logo.svg
            :target: https://mybinder.org/v2/gh/jaumebonet/RosettaSilentToolbox/fd7b663?filepath=notebook
            :alt: Binder
        
        Despite its name, the library **does not require a local installation of ROSETTA**, files can be imported from whatever cluster service the user has access to. That said, some functions can or need to exploit **ROSETTA**. Those functions are few and their requirements are
        clearly highlighted on their `documentation <http://jaumebonet.cat/RosettaSilentToolbox>`_.
        
        Start using the ``rstoolbox`` is as easy as installing it via pip:
        
        .. code-block:: bash
        
            pip install rstoolbox
        
        
        A complete `documentation <http://jaumebonet.cat/RosettaSilentToolbox>`_ with detailed explanation for each function is available.
        
Keywords: development
Platform: UNIX
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Operating System :: MacOS
Classifier: Operating System :: Unix
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Visualization
