Reference : Cloud-Assisted Read Alignment and Privacy
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Security, Reliability and Trust
http://hdl.handle.net/10993/34971
Cloud-Assisted Read Alignment and Privacy
English
Fernandes, Maria mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Decouchant, Jérémie mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Couto, Francisco M. [LaSIGE, Faculdade de Ciencias, Universidade de Lisboa, Portugal]
Verissimo, Paulo mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
2017
11th International Conference on Practical Applications of Computational Biology & Bioinformatics 2017
Yes
International
11th International Conference on Practical Applications of Computational Biology & Bioinformatics 2017
from 21-06-2017 to 23-06-2018
[en] Read alignment ; Cloud computing ; Genomic data privacy
[en] Thanks to the rapid advances in sequencing technologies, genomic data is now being produced at an unprecedented rate. To adapt to this growth, several algorithms and paradigm shifts have been proposed to increase the throughput of the classical DNA workflow, e.g. by relying on the cloud to perform CPU intensive operations. However, the scientific community raised an alarm due to the possible privacy-related attacks that can be executed on genomic data. In this paper we review
the state of the art in cloud-based alignment algorithms that have been developed for performance. We then present several privacy-preserving mechanisms that have been, or could be, used to align reads at an incremental performance cost. We finally argue for the use of risk analysis throughout the DNA workflow, to strike a balance between performance and protection of data.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Critical and Extreme Security and Dependability Research Group (CritiX)
Fonds National de la Recherche - FnR
http://hdl.handle.net/10993/34971

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