The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition is a research paper published in Journal of the American Medical Informatics Association (2022). On theSindex it has a DataRank of 0. It has been cited 28 times.
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National Institutes of Health
Grant: R13HG009072
NIH
Grant: R00HG009680
NIH
Grant: R01HL136835
NIH
Grant: R01GM118609
NIH
Grant: R01LM013712
NIH
Grant: RHL136835A
NIH
Grant: R01HG010798
NIH
Grant: RM1HG011558
NIH
Grant: R01HG011066
National Institutes of Health
Grant: 1F99HG013039-01
Leveraging natural and engineered genetic barcodes from single cell RNA sequencing to investigate cellular evolution, clonal expansion, and associations between cellular genotypes and phenotypes
National Institutes of Health
Grant: 5R13HG009072-04
iDASH Genome Privacy and Security Workshop (secure genome analysis competition)
National Institutes of Health
Grant: 5R01HG011066-02
iAGREE: A Multi-Center, Networked Patient Consent Study
National Institutes of Health
Grant: 5R01GM118609-04
Decentralized differentially-private methods for dynamic data release and analysis
National Institutes of Health
Grant: 3RM1HG011558-02S1
Genetic & Social Determinants of Health: Center for Admixture Science and Technology
National Institutes of Health
Grant: 1R01HG010798-01
Secure and Privacy-preserving Genome-wide and Phenome-wide Association Studies via Intel Software Guard Extensions (SGX)
National Institutes of Health
Grant: 5R00HG009680-04
BECKON - Block Estimate Chain: creating Knowledge ON demand & protecting privacy
National Institutes of Health
Grant: 5R01LM013712-08
Decentralized differentially-private methods for dynamic data release and analysis
National Institutes of Health
Grant: 3R01HL136835-02S1
Protecting Privacy and Facilitating Shared Access of Clinical and Genetic Data of Special Populations
FWCI
3.14
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals