{
    "info": {
        "author": "Solve, Inc.",
        "author_email": "contact@solvebio.com",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering :: Bio-Informatics",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "Veppy: Variant Effect Prediction for Python\n===========================================\n\n**WARNING:** This code is an alpha release and not production-ready. APIs may change at any time.\n\nVeppy is a genetic variant effect predictor for Python. Inspired by SnpEff and VEP.\n\n\n.. image:: https://img.shields.io/pypi/v/veppy.svg\n    :target: https://pypi.python.org/pypi/veppy\n\n\nInstallation\n------------\n\n.. code-block:: bash\n\n    $ pip install veppy\n\n\nInstallation from source\n------------------------\n\n.. code-block:: bash\n\n    $ git clone git@github.com:solvebio/veppy.git\n    $ cd veppy\n    $ python setup.py install\n\n\nSetup\n-----\n\n**Step 1 (OPTIONAL):** Prepare a directory for veppy data\n\nThe default data path is: ``./data``\n\nYou can override this by setting ``$VEPPY_DATA_DIR``.\n\n.. code-block:: bash\n\n    export VEPPY_DATA_DIR=/opt/veppy\n\n\n**Step 2:** Download source data and build indexes\n\n**NOTE:** This step downloads about 1gb of data. After indexing, the data directory will consume about 8gb of disk space.\n\n.. code-block:: bash\n\n    ./scripts/download_data_GRCh37.sh\n\n\n**Step 3:** Index the source data\n\n.. code-block:: bash\n\n    python ./run_index.py\n\n\nExample Usage\n-------------\n\n.. code-block:: python\n\n    >>> from veppy.veppy import calculate_consequences\n    >>> variant = ('1', 8025384, 'A', 'T')\n    >>> result = calculate_consequences('GRCh37', *variant)\n    >>> print result.results\n\n\nTesting\n-------\n\nTests are currently based on chr1 versions of input data.\nFull genome tests are coming soon!\n\n.. code-block:: bash\n\n    $ nosetests\n\n\nCoverage:\n\n\n.. code-block:: bash\n\n    $ nosetests --with-coverage --cover-package=veppy\n\n\nAbout SolveBio\n--------------\n\nSolveBio is a genomics company based in New York City.\n\n.. image:: https://s3.amazonaws.com/veppy/solvebio_logo.png\n    :target: https://www.solvebio.com/",
        "description_content_type": null,
        "docs_url": null,
        "download_url": null,
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/solvebio/veppy",
        "keywords": null,
        "license": "MIT",
        "maintainer": null,
        "maintainer_email": null,
        "name": "veppy",
        "package_url": "https://pypi.org/project/veppy/",
        "platform": "any",
        "project_url": "https://pypi.org/project/veppy/",
        "project_urls": {
            "Homepage": "https://github.com/solvebio/veppy"
        },
        "release_url": "https://pypi.org/project/veppy/0.0.1/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "Variant Effect Prediction for Python",
        "version": "0.0.1"
    },
    "last_serial": 2378748,
    "releases": {
        "0.0.1": []
    },
    "urls": []
}