Publications related to Genomsys

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The impressive technological advances in genomic analysis and the significant drop in the cost of genome sequencing are paving the way to a variety of revolutionary applications in modern healthcare. In particular, the increasing understanding of the human ...

Although privacy is generally considered to be the right of an individual or group to control information about themselves, such a right has become challenging to protect in the digital era, this is exemplified by the case of cloud-based genomic computing. ...

The amount of genomic information about leukemia cells currently far exceeds our overall understanding of the precise genetic events that ultimately drive disease development and progression. Effective implementation of personalized medicine will require t ...

As genomic data becomes widely used, the problem of genomic data privacy becomes a hot interdisciplinary research topic among geneticists, bioinformaticians and security and privacy experts. Practical attacks have been identified on genomic data, and thus ...

Genome sequencing technology has advanced at a rapid pace and it is now possible to generate highlydetailed genotypes inexpensively. The collection and analysis of such data has the potential to support various applications, including personalized medical ...

According to many scientists and clinicians, genomics is the "next big thing" in the field of medicine. On one hand, decreasing costs in genome sequencing has been paving the way to better preventive and personalized medicine. On the other hand, genomic da ...

Genomsys

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Privacy-Enhancing Technologies for Medical and Genomic Data: From Theory to Practice

On Secure Cloud Computing for Genomic Data: From Storage to Analysis

Identification and Characterization of Tyrosine Kinase Nonreceptor 2 Mutations in Leukemia through Integration of Kinase Inhibitor Screening and Genomic Analysis

Quantifying Genomic Privacy via Inference Attack with High-Order SNV Correlations

Privacy in the Genomic Era

Privacy-Preserving Computation of Disease Risk by Using Genomic, Clinical, and Environmental Data