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.
[Online].
Bioinformatics.
Available from:
https://doi.org/10.1093/bioinformatics/btw758
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.
PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS
[Internet].
Bioinformatics;
2016.
Available from:
https://doi.org/10.1093/bioinformatics/btw758
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.
[Data Collection].
Bioinformatics.
https://doi.org/10.1093/bioinformatics/btw758
Description
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.
