“Efficient Storage of Whole Human Genomes”
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|abstract=The number of to-be-stored genomes is increasing exponentially, which is motivated by the decreasing cost for sequencing a human genome - $1000 nowadays. Pressure is on hospitals and biobanks to store millions of genomes, and researchers would like to analyse thousands samples at time. Storing genomes efficiently may accelerate medical breakthroughs, but augments the risks for donors' privacy. The million-scale size and criticality of sets of genomes require systematic solutions to store and share this data in efficient, scalable, and secure ways. In this work, we present contributions on privacy-awareness and cost-efficiency that enable the efficient storage of genomic data and make security and dependability more affordable in this scenario. | |abstract=The number of to-be-stored genomes is increasing exponentially, which is motivated by the decreasing cost for sequencing a human genome - $1000 nowadays. Pressure is on hospitals and biobanks to store millions of genomes, and researchers would like to analyse thousands samples at time. Storing genomes efficiently may accelerate medical breakthroughs, but augments the risks for donors' privacy. The million-scale size and criticality of sets of genomes require systematic solutions to store and share this data in efficient, scalable, and secure ways. In this work, we present contributions on privacy-awareness and cost-efficiency that enable the efficient storage of genomic data and make security and dependability more affordable in this scenario. | ||
|address=London, UK | |address=London, UK | ||
| - | |booktitle=Poster in the 11th European Conference on Computer Systems (EuroSys | + | |booktitle=Poster in the 11th European Conference on Computer Systems (EuroSys) |
|award=Poster Presentation Award | |award=Poster Presentation Award | ||
}} | }} | ||
Latest revision as of 22:18, 13 November 2016
Vinicius Vielmo Cogo, Alysson Bessani
in Poster in the 11th European Conference on Computer Systems (EuroSys), London, UK, Apr. 2016.
Poster Presentation AwardAbstract: The number of to-be-stored genomes is increasing exponentially, which is motivated by the decreasing cost for sequencing a human genome - $1000 nowadays. Pressure is on hospitals and biobanks to store millions of genomes, and researchers would like to analyse thousands samples at time. Storing genomes efficiently may accelerate medical breakthroughs, but augments the risks for donors' privacy. The million-scale size and criticality of sets of genomes require systematic solutions to store and share this data in efficient, scalable, and secure ways. In this work, we present contributions on privacy-awareness and cost-efficiency that enable the efficient storage of genomic data and make security and dependability more affordable in this scenario.
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Project(s): Project:SUPERCLOUD
Research line(s): Fault and Intrusion Tolerance in Open Distributed Systems (FIT)
