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            "Natural Language :: English",
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            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.3",
            "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": "Welcome to `plastid`!\n=====================\n\nFor documentation, see `our home page\n<http://plastid.readthedocs.io/en/latest/>`_ on `ReadtheDocs\n<http://readthedocs.io>`_.\n\nTo run the tests, download the `test dataset\n<https://www.dropbox.com/s/h17go7tnas4hpby/plastid_test_data.tar.bz2?dl=0>`_\nand unpack it into ``plastid/test``.\n\n\nIntroduction\n------------\n\n``plastid`` is a Python library for genomic analysis -- in particular,\nhigh-throughput sequencing data -- with an emphasis on simplicity for users. It\nwas written by Joshua Dunn in `Jonathan Weissman's lab\n<http://weissmanlab.ucsf.edu>`_ at `UCSF <http://ucsf.edu>`_,  initially for\nanalysis of ribosome profiling and RNA-seq data. Versions of it have been used\nin several publications.\n\n``plastid``'s intended audience includes computational and traditional\nbiologists, software developers, and even those who are new to sequencing\nanalysis. It is released under the BSD 3-Clause license.\n\nThis package provides:\n\n  #. A set of scripts that implement common sequencing analyses\n\n  #. A set of classes for exploratory data anlysis. These provide simple\n     and consistent interfaces for manipulating genomic features,\n     read alignments, and quantitative data; and readily interface with\n     existing scientific tools, like the SciPy stack.\n\n  #. Script writing tools that make it easy to use the objects implemented in\n     ``plastid``.\n\n  #. Extensive documentation, both in source code and at `our home page\n     <http://plastid.readthedocs.io/en/latest/>`_ on `ReadtheDocs\n     <http://readthedocs.io>`_.\n\n\nInstallation\n------------\n\n``plastid`` can be installed directly from PyPI, but requires numpy, pysam,\nand cython to be installed first i.e.::\n\n    $ pip install numpy pysam cython\n    $ pip install plastid\n\nIf you get any runtime warnings about numpy versions having changed, or about\na missing module in Pysam, or about some object being the wrong size, try\nregenerating the included C source files from the original Cython code. To\ndo this type::\n\n    $ pip install --upgrade  --install-option='--recythonize' plastid\n\n\nLinks & help\n------------\n\n  - `Documentation <http://plastid.readthedocs.io>`_\n\n  - `Our github repo <https://github.com/joshuagryphon/plastid>`_\n\n  - Subscribe to our mailing list by emailing ``listserv@listserv.ucsf.edu``\n    with the message *subscribe plastidinfo firstname lastname* and an empty\n    subject line\n\n  - `Test dataset <https://www.dropbox.com/s/h17go7tnas4hpby/plastid_test_data.tar.bz2?dl=0>`_,\n    for development or validation of installations",
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