Convert New York University specimen tables to ERNE cache database format
Project description
This is a converter. It takes specimen records from New York University Medical School (NYU)’s cancer research specimen collection that are stored as a series of spreadsheets. From those, it outputs a series of SQL statements that can be injected into the cache system of the Early Detection Research Network (EDRN) Resource Network Exchange (ERNE).
That lets the EDRN public portal show the specimens collected at NYU, without requiring an ERNE server to be installed at NYU.
Nifty, huh?
Requirements
This package has no external requirements (aside from Python >=2.4 <3.0).
Installation
By far, the easiest way to install the NYU XLS to ERNE Converter is to use pip or easy_install. As a privileged user, type:
pip install edrn.nyuxls2erne
or:
easy_install edrn.nyuxls2erne
The software as well as its dependencies will be downloaded and installed automatically.
Are you an advanced user who takes advantage of virtualenv or buildout? You know what to do.
Installing from Source
If neither pip nor easy_install are available on your system, just install from source:
Download the source package archive.
Extract the gzip’d tar archive.
In the extracted directory, run python setup.py install as a privileged user.
Changelog
What follows is a history of changes from release to release, along with issues addressed and new features in each release.
0.0.0 - Unreleased
There are no releases yet of the NYU XLS to ERNE converter.
Issue Tracker
The issue tracker is located at https://oodt.jpl.nasa.gov/jira/browse/CA.
Copyright and License
Copyright 2011 by the California Institute of Technology. ALL RIGHTS RESERVED.
The Software is owned by Caltech/JPL and is protected by United States copyright laws and applicable international treaties and/or conventions. The United States Government may have prior rights to use some or all of the Software as determined under applicable contracts and license agreements with Caltech/JPL.
This software was developed at the Jet Propulsion Laboratory, an operating division of the California Institute of Technology and is not available for use by any person, organization, or other entity without prior, specific written permission.
