{
    "info": {
        "author": "Sean Kelly",
        "author_email": "sean.kelly@jpl.nasa.gov",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Environment :: Web Environment",
            "Intended Audience :: Science/Research",
            "License :: Other/Proprietary License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering :: Astronomy",
            "Topic :: Scientific/Engineering :: Atmospheric Science",
            "Topic :: System :: Distributed Computing"
        ],
        "description": "****************\nedrn.nyuxls2erne\n****************\n\n.. contents::\n\nThis is a converter.  It takes specimen records from New York University\nMedical School (NYU_)'s cancer research specimen collection that are stored as\na series of spreadsheets.  From those, it outputs a series of SQL statements\nthat can be injected into the cache system of the Early Detection Research\nNetwork (EDRN_) Resource Network Exchange (ERNE_).\n\nThat lets the EDRN public portal show the specimens collected at NYU, without\nrequiring an ERNE server to be installed at NYU.\n\nNifty, huh?\n\n.. References:\n.. _NYU: http://www.med.nyu.edu/\n.. _EDRN: http://edrn.nci.nih.gov/\n.. _ERNE: https://ginger.fhcrc.org/edrn/imp/GateServlet?pwd=\n\n.. Author:\n    Sean Kelly\n    Jet Propulsion Laboratory\n    California Institute of Technology\n\n.. Copyright:\n    Copyright 2011 California Institute of Technology. ALL RIGHTS RESERVED.\n    U.S. Government sponsorship acknowledged.\n\n\nRequirements\n============\n\nThis package has no external requirements (aside from Python >=2.4 <3.0).\n\n\nInstallation\n============\n\nBy far, the easiest way to install the NYU XLS to ERNE Converter is to use\npip_ or easy_install_.  As a privileged user, type::\n\n    pip install edrn.nyuxls2erne\n\nor::\n\n    easy_install edrn.nyuxls2erne\n\nThe software as well as its dependencies will be downloaded and installed\nautomatically.\n\nAre you an advanced user who takes advantage of virtualenv_ or buildout_?  You\nknow what to do.\n\n\nInstalling from Source\n----------------------\n\nIf neither pip nor easy_install are available on your system, just install\nfrom source:\n\n1.  Download the source package archive.\n2.  Extract the gzip'd tar archive.\n3.  In the extracted directory, run ``python setup.py install`` as a\n    privileged user.\n\n\n\n.. References:\n.. _pip: http://pip.openplans.org/\n.. _easy_install: http://peak.telecommunity.com/DevCenter/EasyInstall\n.. _virtualenv: http://pypi.python.org/pypi/virtualenv\n.. _buildout: http://www.buildout.org/\n\n.. Author:\n    Sean Kelly\n    Jet Propulsion Laboratory\n    California Institute of Technology\n\n.. Copyright:\n    Copyright 2011 California Institute of Technology. ALL RIGHTS RESERVED.\n    U.S. Government sponsorship acknowledged.\n\n\nChangelog\n=========\n\nWhat follows is a history of changes from release to release, along with\nissues addressed and new features in each release.\n\n0.0.2 \u2014 Check Out Those Lungs\n-----------------------------\n\nThis release addresses the following issue:\n\n* CA-832 - Correct NYU Specimen Site, PI and Organ\n\n\n0.0.1 \u2014 Codename: Maureen Colbert\n---------------------------------\n\nThis release addresses the code interpretation issue identified in\nhttps://edrn-jpl.basecamphq.com/W4242569 and codenamed \"Maureen Colbert\"\nbecause of the subject line of the email message that the project investigator\nreplied to in order to push these changes into effect.\n\nThis release also adds the mkrelease utility to its buildout in order to\nsimplify future releases.\n\n\n0.0.0 \u2014 Unreleased\n------------------\n\nThere are no releases yet of the NYU XLS to ERNE converter.\n\n\nIssue Tracker\n-------------\n\nThe issue tracker is located at https://oodt.jpl.nasa.gov/jira/browse/CA.\n\n\n.. References:\n.. _FCS: http://en.wikipedia.org/wiki/Development_stage#General_availability\n\n\nCopyright and License\n=====================\n\nCopyright 2011 by the California Institute of Technology.  ALL RIGHTS\nRESERVED.\n\nThe Software is owned by Caltech/JPL and is protected by United States\ncopyright laws and applicable international treaties and/or conventions.  The\nUnited States Government may have prior rights to use some or all of the\nSoftware as determined under applicable contracts and license agreements with\nCaltech/JPL.\n\nThis software was developed at the Jet Propulsion Laboratory, an operating\ndivision of the California Institute of Technology and is not available for\nuse by any person, organization, or other entity without prior, specific\nwritten permission.\n\n.. Author:\n    Sean Kelly\n    Jet Propulsion Laboratory\n    California Institute of Technology\n\n.. Copyright:\n    Copyright 2011 California Institute of Technology. ALL RIGHTS RESERVED.\n    U.S. Government sponsorship acknowledged.",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "http://oodt.jpl.nasa.gov/dist/edrn-nyuxls2erne",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "http://cancer.jpl.nasa.gov/products/edrn-nyuxls2erne",
        "keywords": "cancer specimen early detection conversion",
        "license": "Proprietary",
        "maintainer": null,
        "maintainer_email": null,
        "name": "edrn.nyuxls2erne",
        "package_url": "https://pypi.org/project/edrn.nyuxls2erne/",
        "platform": "UNKNOWN",
        "project_url": "https://pypi.org/project/edrn.nyuxls2erne/",
        "project_urls": {
            "Download": "http://oodt.jpl.nasa.gov/dist/edrn-nyuxls2erne",
            "Homepage": "http://cancer.jpl.nasa.gov/products/edrn-nyuxls2erne"
        },
        "release_url": "https://pypi.org/project/edrn.nyuxls2erne/0.0.2/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "Convert New York University specimen tables to ERNE cache database format",
        "version": "0.0.2"
    },
    "last_serial": 349419,
    "releases": {
        "0.0.0": [],
        "0.0.1": [],
        "0.0.2": []
    },
    "urls": []
}