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    "info": {
        "author": "Derek Croote",
        "author_email": "dcroote@stanford.edu",
        "bugtrack_url": null,
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            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Operating System :: MacOS",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
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            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering :: Bio-Informatics"
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        "description": "Overview\n========\nmadic is a Python package for detecting and correcting interference in targeted\nmass spectrometry data using high-performance Pandas data structures.\n\nPurpose\n=======\nMultiple reaction monitoring (MRM, also known as selected reaction monitoring /\nSRM) data acquired during targeted mass spectrometry experiments can suffer\nfrom complex interference patterns that hinder accurate quantification. This\nsoftware identifies and corrects interference, as well increases the confidence\nof peptide calls according to three qualities of an ideal chromatogram:\nrelative transition ratios similar to synthetic standards, co-elution of all\nindividual target transitions with respective stable isotope labeled (SIL)\ntransitions, and a distinguished peak relative to the background. Additionally,\nthese criteria should be satisfied for all replicate injections of a given\nsample.\n\nMore information\n================\nFollow the github URL below for more information.",
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        "keywords": "mass spectrometry SRM MRM Skyline LC-MS/MS",
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        "maintainer": "",
        "maintainer_email": "",
        "name": "madic",
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        "summary": "MAtrix-Dependent Interference Correction of targeted mass spectrometry data",
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