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        "author": "Wouter De Coster",
        "author_email": "decosterwouter@gmail.com",
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            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
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        "description": "# METHPLOTLIB\n\nThis script takes data from nanopolish, either as methylation calls or methylation frequencies (as processed by calculate_methylation_frequency.py) to generate a genome browser view on a window.\n\n## INSTALLATION\n`pip install methplotlib`\n\n## USAGE\n```\nmethplotlib [-h] -m METHYLATION [METHYLATION ...] -n NAMES [NAMES ...]\n                   -w WINDOW [-g GTF] [--simplify] [--split] [--smooth SMOOTH]\n\nArguments:\n  -h, --help            show this help message and exit\n  -m METHYLATION [METHYLATION ...], --methylation METHYLATION [METHYLATION ...]\n                        nanoplish calls or frequency output\n  -n NAMES [NAMES ...], --names NAMES [NAMES ...]\n                        names of datasets in --methylation\n  -w, --window WINDOW   window (region) to which the visualisation has to be restricted\n  -g GTF, --gtf GTF     add annotation based on a gtf file\n  --simplify            simplify annotation track to show genes rather than transcripts\n  --split               split, rather than overlay the methylation tracks\n  --smooth SMOOTH       Smoothen the datapoints, but reduce the details (integer, default=5)\n```\n\n\n## TO DO - CONTRIBUTIONS WELCOME\n- Differential methylation analysis (in windows) across groups of samples\n- Outlier detection (in windows) across samples",
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