Homomorphic Encryption: An Application to Polygenic Risk Scores
Israel Yolou, Jiaqi Li, Can Kockan, Matthew Jensen, Mark Gerstein (2024). bioRxiv.

Assessing and mitigating privacy risks of sparse, noisy genotypes by local alignment to haplotype databases.
PS Emani, MN Geradi, G Gursoy, MR Grasty, A Miranker, MB Gerstein (2023). Genome Res 33: 2156-2173.

Storing and analyzing a genome on a blockchain.
G Gursoy, CM Brannon, E Ni, S Wagner, A Khanna, M Gerstein (2022). Genome Biol 23: 134.

Privacy-preserving genotype imputation with fully homomorphic encryption.
G Gursoy, E Chielle, CM Brannon, M Maniatakos, M Gerstein (2021). Cell Syst 13: 173-182e3.

Recovering genotypes and phenotypes using allele-specific genes.
G Gursoy, N Lu, S Wagner, M Gerstein (2021). Genome Biol 22: 263.

Data Sanitization to Reduce Private Information Leakage from Functional Genomics.
G Gursoy, P Emani, CM Brannon, OA Jolanki, A Harmanci, JS Strattan, JM Cherry, AD Miranker, M Gerstein (2020). Cell 183: 905-917e16.

FANCY: fast estimation of privacy risk in functional genomics data.
G Gursoy, CM Brannon, FCP Navarro, M Gerstein (2020). Bioinformatics 36: 5145-5150.

Using Ethereum blockchain to store and query pharmacogenomics data via smart contracts.
G Gursoy, CM Brannon, M Gerstein (2020). BMC Med Genomics 13: 74.

Analysis of sensitive information leakage in functional genomics signal profiles through genomic deletions.
A Harmanci, M Gerstein (2018). Nat Commun 9: 2453.

Quantification of private information leakage from phenotype-genotype data: linking attacks
A Harmanci, M Gerstein (2016). Nat Methods 13: 251-6.

RSEQtools: a modular framework to analyze RNA-Seq data using compact, anonymized data summaries.
L Habegger, A Sboner, TA Gianoulis, J Rozowsky, A Agarwal, M Snyder, M Gerstein (2011). Bioinformatics 27: 281-3.

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