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Secure Comparisons of Single Nucleotide Polymorphisms Using Secure Multiparty Computation: Method Development

JMIR Bioinformatics and Biotechnology(2023)10.2196/44700Source: DataRank Database

Secure Comparisons of Single Nucleotide Polymorphisms Using Secure Multiparty Computation: Method Development is a research paper published in JMIR Bioinformatics and Biotechnology (2023). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Impact (FWCI 0.00)OA: goldTopics (26)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Skyler T. Kramer ORCID,Dong Xu ORCID,Wei Jiang ORCID,Andrew Woods ORCID

Live enrichment

PubMed:38935952 OpenAlex:https://openalex.org/W4380086873

FWCI

0.00

Citation Percentile

0.1%

goldLicense: cc-by

journalhttps://bioinform.jmir.org/2023/1/e44700/PDF

publisherhttps://bioinform.jmir.org/2023/1/e44700/PDF

publisherhttps://bioinform.jmir.org/2023/1/e44700

journalhttps://doi.org/10.2196/44700

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38935952

Fields of Study

Cryptography and Data SecurityAdvanced Authentication Protocols SecurityPrivacy-Preserving Technologies in Data

Keywords

Jaccard indexComputer scienceSecure multi-party computationSet (abstract data type)Similarity (geometry)Intersection (aeronautics)Bloom filterComputationSingle-nucleotide polymorphismData miningTheoretical computer scienceComputer securityCryptographyComputer networkBiologyGeneticsAlgorithmGenotypeArtificial intelligenceSingle nucleotide polymorphismVariant Call FormatSecure Multiparty ComputationJaccard Similarity