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        "author": "Wout Bittremieux",
        "author_email": "wout.bittremieux@uantwerpen.be",
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            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: MacOS",
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            "Operating System :: Unix",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Scientific/Engineering :: Bio-Informatics"
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        "description": "# spectrum_utils\n\n[![Build status](https://travis-ci.org/bittremieux/spectrum_utils.svg?master)](https://travis-ci.org/bittremieux/spectrum_utils)\n![Python 3.6](https://img.shields.io/badge/python-3.6-brightgreen.svg)\n![Python 3.7](https://img.shields.io/badge/python-3.7-brightgreen.svg)\n![Python 3.8](https://img.shields.io/badge/python-3.8-brightgreen.svg)\n\nspectrum_utils is a Python package for efficient MS/MS spectrum processing and\nvisualization.\n\nspectrum_utils contains the following features:\n\n- Spectrum processing\n    - Precursor & noise peak removal\n    - Intensity filtering\n    - Intensity scaling\n    - Peak annotations\n        - Modification-aware (static & variable) peptide fragments\n        - SMILES-based molecules\n        - Custom strings\n- Spectrum plotting\n    - Fully customizable individual spectrum plots\n    - Mirror plot of matching spectra\n    - Interactive spectrum plots\n\n![spectrum_utils](spectrum_utils.png)\n\n## Installation\n\nspectrum_utils, including all its required dependencies, can be easily\n[installed using conda](https://anaconda.org/bioconda/spectrum_utils) from the\nBioconda channel:\n\n    conda install -c bioconda spectrum_utils\n\n## Documentation\n\nPlease see the [documentation](https://spectrum-utils.readthedocs.io/) for\ndetailed installation instructions, usage examples, the API reference, and more\ninformation.\n\n## Citation\n \nspectrum_utils is freely available as open source under the\n[Apache 2.0 license](http://opensource.org/licenses/Apache-2.0).\n\nWhen using spectrum_utils please cite the following manuscript:\n \nWout Bittremieux. \"spectrum_utils: A Python package for mass spectrometry data\nprocessing and visualization.\" _bioRxiv_ (2019)\ndoi:[10.1101/725036](https://doi.org/10.1101/725036).",
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