{ "info": { "author": "Jaume Bonet", "author_email": "jaume.bonet@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Environment :: Console", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: MacOS", "Operating System :: Unix", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Scientific/Engineering :: Bio-Informatics", "Topic :: Scientific/Engineering :: Visualization" ], "description": "RosettaSilentToolbox\n====================\n\n.. image:: https://travis-ci.org/jaumebonet/RosettaSilentToolbox.svg?branch=master\n :target: https://travis-ci.org/jaumebonet/RosettaSilentToolbox\n :alt: Build Status\n\n.. image:: https://coveralls.io/repos/github/jaumebonet/RosettaSilentToolbox/badge.svg?branch=master\n :target: https://coveralls.io/github/jaumebonet/RosettaSilentToolbox?branch=master\n :alt: Coverage Status\n\n.. image:: https://codecov.io/gh/jaumebonet/RosettaSilentToolbox/branch/master/graph/badge.svg\n :target: https://codecov.io/gh/jaumebonet/RosettaSilentToolbox\n :alt: codecov\n\n.. image:: https://img.shields.io/pypi/pyversions/rstoolbox.svg\n :target: https://pypi.org/project/rstoolbox/\n :alt: Python Versions\n\n.. image:: https://api.codacy.com/project/badge/Grade/8e2823ea80984efc8b764f9d8d26ecf6\n :target: https://www.codacy.com/app/jaumebonet/RosettaSilentToolbox?utm_source=github.com&utm_medium=referral&utm_content=jaumebonet/RosettaSilentToolbox&utm_campaign=Badge_Grade\n :alt: Codacy Badge\n\nThe ``rstoolbox`` is a python library aimed to the analysis and management of big populations of protein or nucleotide decoys.\n\n.. image:: https://img.shields.io/badge/bioRxiv%20preprint-doi.org/10.1101/428045-blue.svg\n :target: https://doi.org/10.1101/428045\n :alt: bioRxiv\n\n.. image:: https://img.shields.io/badge/BMC%20Bioinformatics-doi.org/10.1186/s12859--019--2796--3-green.svg\n :target: https://doi.org/10.1186/s12859-019-2796-3\n :alt: BMC Bioinformatics\n\nAlthough inspired by the output of the protein design tool **ROSETTA**, the library aims to be of a wider applicability, and can be\neasily set up to retrieve data from other design tools.\n\nIt is particularly aimed towards two distinct user profiles:\n\n1. Protein designers comfortable with light scripting to process their data. Ideally, used to work with **Ipython**, for which this library has a particular affinity.\n2. Developers that develop new protein design tools/protocols/approaches and wish to benchmark their innovations with previously existing methods.\n\nSee a working example notebook at:\n\n.. image:: https://mybinder.org/badge_logo.svg\n :target: https://mybinder.org/v2/gh/jaumebonet/RosettaSilentToolbox/fd7b663?filepath=notebook\n :alt: Binder\n\nDespite 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**. 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