Federated Genomic Analysis
Federated Genomic Analysis is a computational framework that enables collaborative genomic data analysis across distributed institutions without centralizing raw genetic data, preserving privacy by sharing only aggregated model parameters or intermediate results.
12
Publications
565
Citations
85
Authors
51
Institutions
Publications per year
2017–2026
5
Parents
12
ADAM: Genomics Formats and Processing Patterns for Cloud Scale Computing
Matt D. Massie, Frank Austin Nothaft, Christopher Hartl et al. · UC Berkeley · 2013 · 97 citations
Privacy-preserving GWAS analysis on federated genomic datasets
Scott D Constable, Yuzhe Tang, Shuang Wang et al. · BMC Medical Informatics and Decision Making · 2015 · 62 citations · Full text
1–5 of 12
85
2
h-index
2
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1
h-index
1
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1
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1–5 of 85
51
University of California San Diego
San Diego, United States
3 h-index
6 publications
304 citations

The University of Melbourne
Melbourne, Australia
2 h-index
7 publications
700 citations
Vector Institute
Toronto, Canada
1 h-index
1 publications
27 citations
Australian e-Health Research Centre
Brisbane, Australia
1 h-index
1 publications
130 citations
CSIRO Health and Biosecurity
Clayton South, Australia
1 h-index
1 publications
130 citations
Hospital for Sick Children
Toronto, Canada
1 h-index
3 publications
81 citations
Canada's Michael Smith Genome Sciences Centre
Vancouver, Canada
1 h-index
7 publications
189 citations
iMinds
Ghent, Belgium
1 h-index
1 publications
23 citations
1–8 of 51
AJHG · 1 publications · 130 citations
1
h-index
1 publications · 27 citations
1
h-index
1 publications · 23 citations
1
h-index
1 publications · 25 citations
1
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1 publications · 51 citations
1
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