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dc.contributor.authorHuang Z.en_US
dc.contributor.authorAyday, E.en_US
dc.contributor.authorLin, H.en_US
dc.contributor.authorAiyar, R. S.en_US
dc.contributor.authorMolyneaux, A.en_US
dc.contributor.authorXu, Z.en_US
dc.contributor.authorFellay, J.en_US
dc.contributor.authorSteinmetz, L. M.en_US
dc.contributor.authorHubaux, Jean-Pierreen_US
dc.date.accessioned2018-04-12T10:44:19Z
dc.date.available2018-04-12T10:44:19Z
dc.date.issued2016en_US
dc.identifier.issn1088-9051
dc.identifier.urihttp://hdl.handle.net/11693/36561
dc.description.abstractIn clinical genomics, the continuous evolution of bioinformatic algorithms and sequencing platforms makes it beneficial to store patients' complete aligned genomic data in addition to variant calls relative to a reference sequence. Due to the large size of human genome sequence data files (varying from 30 GB to 200 GB depending on coverage), two major challenges facing genomics laboratories are the costs of storage and the efficiency of the initial data processing. In addition, privacy of genomic data is becoming an increasingly serious concern, yet no standard data storage solutions exist that enable compression, encryption, and selective retrieval. Here we present a privacy-preserving solution named SECRAM (Selective retrieval on Encrypted and Compressed Reference-oriented Alignment Map) for the secure storage of compressed aligned genomic data. Our solution enables selective retrieval of encrypted data and improves the efficiency of downstream analysis (e.g., variant calling). Compared withBAM, thede factostandard for storing aligned genomic data, SECRAM uses 18%less storage. Compared with CRAM, one of the most compressed nonencrypted formats (using 34% less storage than BAM), SECRAM maintains efficient compression and downstream data processing, while allowing for unprecedented levels of security in genomic data storage. Compared with previous work, the distinguishing features of SECRAM are that (1) it is position-based insteadofread-based,and(2)itallowsrandomqueryingofasubregionfromaBAM-likefileinanencryptedform.Ourmethod thus offers a space-saving, privacy-preserving, and effective solution for the storage of clinical genomic data.en_US
dc.language.isoEnglishen_US
dc.source.titleGenome Researchen_US
dc.relation.isversionofhttp://dx.doi.org/10.1101/gr.206870.116en_US
dc.subjectBioinformaticsen_US
dc.subjectCompressionen_US
dc.subjectGene sequenceen_US
dc.subjectGenetic privacyen_US
dc.subjectGenomicsen_US
dc.subjectHuman genomeen_US
dc.subjectInformation processingen_US
dc.subjectInformation retrievalen_US
dc.subjectPriority journalen_US
dc.subjectAlgorithmen_US
dc.subjectBiologyen_US
dc.subjectComputer securityen_US
dc.subjectHumanen_US
dc.subjectinformation processingen_US
dc.subjectProceduresen_US
dc.subjectStandardsen_US
dc.subjectAlgorithmsen_US
dc.subjectComputational biologyen_US
dc.subjectComputer scurityen_US
dc.subjectData compressionen_US
dc.subjectGenomicsen_US
dc.subjectInformation storage and retrievalen_US
dc.titleA privacy-preserving solution for compressed storage and selective retrieval of genomic dataen_US
dc.typeArticleen_US
dc.departmentDepartment of Computer Engineering
dc.citation.spage1687en_US
dc.citation.epage1696en_US
dc.citation.volumeNumber26en_US
dc.identifier.doi10.1101/gr.206870.116en_US
dc.publisherCold Spring Harbor Laboratory Pressen_US
dc.identifier.eissn1549-5469


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