Pavel Nikonorov

Confidential computing network for cross-database DNA relatives matching

Pavel Nikonorov, М. В. Махмутова, Andrew Ponomorev, Ruslan Vakhitov et autres

Genomic data is continuously collected by different entities and thus siloed by default, hampering collaborative research. Meanwhile, relatedness inference, a basic component of genomic analysis involving only genomic data itself, presents a massive usage in consumer genomics, where millions of individuals willingly …

gb (code pays fourni par la source)

Enhancing data security in GA4GH task execution services with confidential computing

Pavel Nikonorov, Ruslan Vakhitov, Alexander Senf, Boris Guennewig et autres

In conventional computing systems, the sharing of data with another party implies its disclosure and the inability to control its further usage. Confidential Computing is a CPU-based technology that addresses these issues by enabling hardware-enforced trust establishment between remote computing devices and …

Peer Review Report For: GRAPE: genomic relatedness detection pipeline [version 2; peer review: 2 approved]

Alexander Medvedev, Mikhail Lebedev, Andrew Ponomarev, Mikhail Kosaretskiy et autres

Classifying the degree of relatedness between pairs of individuals has both scientific and commercial applications. As an example, genome-wide association studies (GWAS) may suffer from high rates of false positive results due to unrecognized population structure. This problem becomes especially relevant with …

ru, cn, gb (code pays fourni par la source)

Peer Review Report For: GRAPE: genomic relatedness detection pipeline [version 2; peer review: 2 approved]

Alexander Medvedev, Mikhail Lebedev, Andrew Ponomarev, Mikhail Kosaretskiy et autres

Classifying the degree of relatedness between pairs of individuals has both scientific and commercial applications. As an example, genome-wide association studies (GWAS) may suffer from high rates of false positive results due to unrecognized population structure. This problem becomes especially relevant with …

ru, cn, gb (code pays fourni par la source)

GRAPE: genomic relatedness detection pipeline

Alexander Medvedev, Mikhail Lebedev, Andrew Ponomarev, Mikhail Kosaretskiy et autres

Classifying the degree of relatedness between pairs of individuals has both scientific and commercial applications. As an example, genome-wide association studies (GWAS) may suffer from high rates of false positive results due to unrecognized population structure. This problem becomes especially relevant with …

ru, gb, cn (code pays fourni par la source)

Peer Review Report For: GRAPE: genomic relatedness detection pipeline [version 1; peer review: 2 approved with reservations]

Alexander Medvedev, Mikhail Lebedev, Andrew Ponomarev, Mikhail Kosaretskiy et autres

Classifying the degree of relatedness between pairs of individuals has both scientific and commercial applications. As an example, genome-wide association studies (GWAS) may suffer from high rates of false positive results due to unrecognized population structure. This problem becomes especially relevant with …

ru, gb, cn (code pays fourni par la source)

Peer Review Report For: GRAPE: genomic relatedness detection pipeline [version 1; peer review: 2 approved with reservations]

Alexander Medvedev, Mikhail Lebedev, Andrew Ponomarev, Mikhail Kosaretskiy et autres

Classifying the degree of relatedness between pairs of individuals has both scientific and commercial applications. As an example, genome-wide association studies (GWAS) may suffer from high rates of false positive results due to unrecognized population structure. This problem becomes especially relevant with …

ru, gb, cn (code pays fourni par la source)

GRAPE: genomic relatedness detection pipeline

Alexander Medvedev, Mikhail Lebedev, Andrew Ponomarev, Mikhail Kosaretskiy et autres

Classifying the degree of relatedness between pairs of individuals has both scientific and commercial applications. As an example, genome-wide association studies (GWAS) may suffer from high rates of false positive results due to unrecognized population structure. This problem becomes especially relevant with …

ru, gb, cn (code pays fourni par la source)

GRAPE: Genomic Relatedness Detection Pipeline

Aleksandr Medvedev, Mikhail Lebedev, Andrew Ponomarev, Mikhail Kosaretskiy et autres

Abstract Classifying the degree of relatedness between pairs of individuals has both scientific and commercial applications. As an example, GWAS may suffer from high rates of false positive results due to unrecognized population structure. This problem becomes especially relevant with recent increases …

ru, cn, gb (code pays fourni par la source)