Tuesday, June 15, 2021

Fwd: Next week seminar.


Approaches to Genomic Privacy: Leakage Measurement, Data Sanitization
& Blockchain Storage


Functional genomics experiments on human subjects present a privacy
conundrum. On the one hand, many of the conclusions we infer from
these experiments are not tied to the identity of individuals but
represent universal statements about biology and disease. On the other
hand, the raw sequencing reads or the phenotypic information inferred
from these experiments can leak information about patients' variants,
presenting privacy challenges in terms of data sharing. There is a
great desire to share data as broadly as possible. Therefore,
measuring the amount of variant information leaked in various
experiments is a key first step in protecting private information. We
propose metrics to quantify private information leakage in functional
genomics data, linking attacks to validate the proposed metrics and
file formats that maximize the potential for data sharing while
protecting individuals' private information. Blockchain potentially
provides a way of storing genomic information and access to it
securely. We show how this can be done efficiently using various index
structures and how blockchain can be combined with our file formats
for sharing functional genomic information.



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