Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/2139
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dc.contributor.authorArslan , Şuayb Şefik-
dc.contributor.authorGöker, Turguy-
dc.contributor.authorDoerner, Don-
dc.date.accessioned2023-12-13T08:45:36Z-
dc.date.available2023-12-13T08:45:36Z-
dc.date.issued2023-
dc.identifier.citationArslan, S.S, Goker, T., & Doerner, D. (July 06, 2023). (Patent). Joint multi-nanopore sequencing for reliable data retrieval in nucleic acid storage. Pub. No: US20230215516A1. Quantum Corporation, San Jose, CA (USA). pp. 1-16.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11779/2139-
dc.descriptionPub. No: US20230215516A1en_US
dc.description.abstractA nucleic acid storage system (100) that uses nanopore sequencing to read data values chemically embedded in oligonucleotides includes a membrane (102), a voltage source (108), and a nucleic acid strand (110). The membrane (102) has a plurality of nanopores (104) that are stacked upon one another in a multi-nanopore arrangement. The voltage source (108) is configured to direct voltage across the plurality of nanopores (104). The nucleic acid strand (110) including the oligonucleotides is threaded through each of the plurality of nanopores (104) within the membrane (102). A separate base signal (118) is generated from the nucleic acid strand (110) being threaded through each of the plurality of nanopores (104), and Recursive Neural Networks can be used to estimate a signal shape for each oligonucleotide. Recurrent Convolutional Neural Networks and noise predictive data detection algorithms can be used based on the estimated signal shapes to sequence the oligonucleotides.en_US
dc.language.isoenen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleJoint multi-nanopore sequencing for reliable data retrieval in nucleic acid storageen_US
dc.typePatenten_US
dc.authoridŞuayb Şefik Arslan / 0000-0003-3779-0731-
dc.description.PublishedMonthHaziranen_US
dc.relation.publicationcategoryOtheren_US
dc.identifier.endpage16en_US
dc.identifier.startpage1en_US
dc.departmentMühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.institutionauthorArslan, Şuayb Şefik-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextembargo_20400101-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairetypePatent-
Appears in Collections:Bilgisayar Mühendisliği Bölümü koleksiyonu
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