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Proceedings Paper

The EDRN knowledge environment: an open source, scalable informatics platform for biological sciences research
Author(s): Daniel Crichton; Ashish Mahabal; Kristen Anton; Luca Cinquini; Maureen Colbert; S. George Djorgovski; Heather Kincaid; Sean Kelly; David Liu
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Paper Abstract

We describe here the Early Detection Research Network (EDRN) for Cancer’s knowledge environment. It is an open source platform built by NASA’s Jet Propulsion Laboratory with contributions from the California Institute of Technology, and Giesel School of Medicine at Dartmouth. It uses tools like Apache OODT, Plone, and Solr, and borrows heavily from JPL’s Planetary Data System’s ontological infrastructure. It has accumulated data on hundreds of thousands of biospecemens and serves over 1300 registered users across the National Cancer Institute (NCI). The scalable computing infrastructure is built such that we are being able to reach out to other agencies, provide homogeneous access, and provide seamless analytics support and bioinformatics tools through community engagement.

Paper Details

Date Published: 18 May 2017
PDF: 10 pages
Proc. SPIE 10194, Micro- and Nanotechnology Sensors, Systems, and Applications IX, 101942A (18 May 2017); doi: 10.1117/12.2263842
Show Author Affiliations
Daniel Crichton, Jet Propulsion Lab. (United States)
Ashish Mahabal, California Institute of Technology (United States)
Kristen Anton, Dartmouth College (United States)
Luca Cinquini, Jet Propulsion Lab. (United States)
Maureen Colbert, Dartmouth College (United States)
S. George Djorgovski, California Institute of Technology (United States)
Heather Kincaid, Jet Propulsion Lab. (United States)
Sean Kelly, Jet Propulsion Lab. (United States)
David Liu, Jet Propulsion Lab. (United States)

Published in SPIE Proceedings Vol. 10194:
Micro- and Nanotechnology Sensors, Systems, and Applications IX
Thomas George; Achyut K. Dutta; M. Saif Islam, Editor(s)

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