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 |
---|---|
Resource Type |
Resource Type Resource Description Software Source code |
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)
ORCID: https://orcid.org/0000-0001-8587-1849