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In collaboration with researchers from academia and industry, we are developing solutions for privacy-preserving genomic data analysis. We apply multiple technologies including trusted …
Nov 19, 2024 · This study introduces HE-based privacy-preserving methods for SNP DNA analysis, offering a means to compute kinship scores for a set of genome queries while …
The company specializes in genomic data analysis, offering services such as next-generation sequencing (NGS), microarray data analysis, and custom bioinformatics solutions. ArrayGen …
Jan 31, 2025 · The affordability of genome sequencing and the widespread availability of genomic data have opened up new medical possibilities. Nevertheless, they also raise significant …
Jul 26, 2017 · Homomorphic encryption can be applied to privacy-preserving sequence comparison, but it is still impractical for the analysis of entire human genome information.
Feb 16, 2022 · These cloud-based services raise privacy issues when used for sharing patients’ genomic data. With the increasing use of genetic information in new avenues, such as …
The iDASH 2015 Competition A competition to explore the viability of homomorphic encryption (and multiparty computation) for secure genomic analysis Two tasks:
Abstract. The rapid development of genome sequencing technology allows researchers to access large genome datasets. However, outsourcing the data processing to the cloud poses high …
Dec 1, 2022 · Examples are the 1000 genome project [1] and the personal genome project [2], and (ii) for-profit organizations such as direct-to-consumer (DTC) personal genomics …
Jul 24, 2021 · Whole genome sequencing is a key technology enabling the digitization of healthcare and precision medicine. Meet 8 leading whole genome sequencing companies.
Jul 21, 2020 · The privacy and security of DNA-related data are now more important than ever. Homomorphic Encryption (HE) is a form of encryption where functions, f, can be evaluated on …
Dec 21, 2015 · Background The rapid development of genome sequencing technology allows researchers to access large genome datasets. However, outsourcing the data processing o …
Jun 8, 2023 · This initiative also lays the groundwork for a Python library, 'Concrete Biopython', potentially offering a powerful set of tools for privacy-preserving omic data analysis.
May 21, 2021 · Genomic data alignment, a fundamental operation in sequencing, can be utilized to map reads into a reference sequence, query on a genomic database and perform genetic …
The rapid development of genome sequencing technology allows researchers to access large genome datasets. However, outsourcing the data processing o the cloud poses high risks for …
Genome sequence search is useful, for example, in clinical applications where a care provider needs to select a treatment option for a patient based on the exact kind of cancer the patient …
Methods: This study introduces HE-based privacy-preserving methods for SNP DNA analysis, offering a means to compute kinship scores for a set of genome queries while meticulously …
DNA sequencing is the process of determining the nucleic acid sequence – the order of nucleotides in DNA. It includes any method or technology that is used to determine the order …
Dec 1, 2022 · Genomic datasets are mostly maintained by third-party direct-to-consumer (DTC) genomic companies who operate a business model of collecting DNA data from their …
Nov 17, 2021 · Here, we developed secure genotype imputation using efficient homomorphic encryption (HE) techniques. In HE-based methods, the genotype data are secure while it is in …
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