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Private genome analysis through homomorphic encryption
BACKGROUND: The rapid development of genome sequencing technology allows researchers to access large genome datasets. However, outsourcing the data processing o the cloud poses high risks for personal privacy. The aim of this paper is to give a practical solution for this problem using homomorphic e...
Sparad:
| I publikationen: | BMC Med Inform Decis Mak |
|---|---|
| Huvudupphovsmän: | , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2015
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4699052/ https://ncbi.nlm.nih.gov/pubmed/26733152 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1472-6947-15-S5-S3 |
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