| Literature DB >> 34759381 |
Gamze Gürsoy1,2, Tianxiao Li1, Susanna Liu3,4, Eric Ni1, Charlotte M Brannon1,2,5, Mark B Gerstein6,7,8,9.
Abstract
The generation of functional genomics data by next-generation sequencing has increased greatly in the past decade. Broad sharing of these data is essential for research advancement but poses notable privacy challenges, some of which are analogous to those that occur when sharing genetic variant data. However, there are also unique privacy challenges that arise from cryptic information leakage during the processing and summarization of functional genomics data from raw reads to derived quantities, such as gene expression values. Here, we review these challenges and present potential solutions for mitigating privacy risks while allowing broad data dissemination and analysis.Entities:
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Year: 2021 PMID: 34759381 DOI: 10.1038/s41576-021-00428-7
Source DB: PubMed Journal: Nat Rev Genet ISSN: 1471-0056 Impact factor: 53.242