PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS
Chen, F, Wang, S, Jiang, X, Ding, S, Lu, Y, Kim, J, Sahinalp, SC, Shimizu, C, Burns, JC, Wright, VJ, Png, E, Hibberd, ML
, Lloyd, DD, Yang, H, Telenti, A, Bloss, CS, Fox, D, Lauter, K and Ohno-Machado, L
(2016).
PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS.
[Dataset].
Bioinformatics.
https://doi.org/10.1093/bioinformatics/btw758
Data accompanying a paper on PRINCESS, a privacy-preserving international collaboration framework for analyzing rare disease genetic data that are distributed across different continents. Associated code is made available on Github.
Keywords
Encryption, PrivacyItem Type | Dataset |
---|---|
Capture method | Other |
Date | 22 December 2016 |
Language(s) of written materials | English |
Creator(s) |
Chen, F, Wang, S, Jiang, X, Ding, S, Lu, Y, Kim, J, Sahinalp, SC, Shimizu, C, Burns, JC, Wright, VJ, Png, E, Hibberd, ML |
LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Dept of Pathogen Molecular Biology (-2019) |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Funders |
Project Funder Grant Number Funder URI |
Date Deposited | 02 Jul 2018 13:48 |
Last Modified | 08 Jul 2021 12:49 |
Publisher | Bioinformatics |
Explore Further
- National Institutes of Health
- National Institutes of Health
- National Institutes of Health
- National Institutes of Health
- BioInformatics (Online Data Resource)
- Github (Data)
No files available. Please consult associated links.
- BioInformatics (Online Data Resource)
- Github (Data)
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ORCID: https://orcid.org/0000-0001-8587-1849