PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS

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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. [Online]. BioInformatics, Oxford, United Kingdom. Available from: - https://doi.org/10.1093/bioinformatics/btw758

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Data accompanying a paper on PRINCESS, a privacy-preserving international collaboration framework for analyzing rare disease genetic data that are distributed across different continents.

Published in a 3rd party system Date: 22 December 2016
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Data Creators(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, Lloyd, DD, Yang, H, Telenti, A, Bloss, CS, Fox, D, Lauter, K and Ohno-Machado, L
LSHTM Faculty/Department: Faculty of Infectious and Tropical Diseases > Dept of Pathogen Molecular Biology
Participating Institutions: London School of Hygiene & Tropical Medicine, London, United Kingdom

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