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dc.contributor.author Jeon, Hajin -
dc.contributor.author Bae, Jeongmin -
dc.contributor.author Kim, Hyerin -
dc.contributor.author Kim, Min-Soo -
dc.date.accessioned 2022-01-17T02:30:08Z -
dc.date.available 2022-01-17T02:30:08Z -
dc.date.created 2022-01-13 -
dc.date.issued 2023-01 -
dc.identifier.issn 1545-5963 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/16112 -
dc.description.abstract Fatal infectious diseases caused by RNA viruses, such as COVID-19, have emerged around the world. RT-PCR is widely employed for virus detection, and its accuracy depends on the primers and probes since RT-PCR can detect a virus only when the primers and probes bind to the target gene of the virus. Most of primer design methods are for a single host and so require a great deal of effort to design for RNA virus detection, including homology tests among the host and all the viruses for the host using BLAST-like tools. Furthermore, they do not consider variant sequences, which are very common in viruses. In this study, we describe VPrimer, a method of designing high-quality primer-probe sets for RNA viruses. VPrimer can find primer-probe sets that cover more than 95% of the variants of a target virus but do not cover any sequences of other viruses or the host. With VPrimer, we found 381,698,582 primer-probe sets for 3,104 RNA viruses. Multiplex PCR assays using the top 2 primer-probe sets suggested by VPrimer usually cover 100% of variants. To address the rapid changes in viral genomes, VPrimer finds the best and up-to-date primer-probe sets incrementally against the most recently reported variants. IEEE -
dc.language English -
dc.publisher IEEE Computer Society -
dc.title VPrimer: A method of designing and updating primer and probe with high variant coverage for RNA virus detection -
dc.type Article -
dc.identifier.doi 10.1109/TCBB.2021.3138145 -
dc.identifier.scopusid 2-s2.0-85122108010 -
dc.identifier.bibliographicCitation IEEE/ACM Transactions on Computational Biology and Bioinformatics, v.20, no.1, pp.775 - 784 -
dc.description.isOpenAccess FALSE -
dc.subject.keywordAuthor Primer Design -
dc.subject.keywordAuthor Probe -
dc.subject.keywordAuthor Probes -
dc.subject.keywordAuthor RNA -
dc.subject.keywordAuthor Server -
dc.subject.keywordAuthor Viruses (medical) -
dc.subject.keywordAuthor Algorithm Design and Analysis -
dc.subject.keywordAuthor Bioinformatics -
dc.subject.keywordAuthor Coronaviruses -
dc.subject.keywordAuthor COVID-19 -
dc.subject.keywordAuthor Database -
dc.subject.keywordAuthor Databases -
dc.subject.keywordAuthor Encoding -
dc.subject.keywordAuthor Genomics -
dc.subject.keywordAuthor Molecular Biology -
dc.subject.keywordAuthor Polymerase Chain Reaction (PCR) -
dc.subject.keywordPlus Coronaviruses -
dc.subject.keywordPlus Design -
dc.subject.keywordPlus Genes -
dc.subject.keywordPlus Molecular biology -
dc.subject.keywordPlus Polymerase chain reaction -
dc.subject.keywordPlus Probes -
dc.subject.keywordPlus RNA -
dc.subject.keywordPlus Signal encoding -
dc.subject.keywordPlus Algorithm design and analysis -
dc.subject.keywordPlus COVID-19 -
dc.subject.keywordPlus Encodings -
dc.subject.keywordPlus Primers design -
dc.subject.keywordPlus RNA virus -
dc.subject.keywordPlus Virus (medical) -
dc.subject.keywordPlus Virus detection -
dc.subject.keywordPlus Viruses -
dc.citation.endPage 784 -
dc.citation.number 1 -
dc.citation.startPage 775 -
dc.citation.title IEEE/ACM Transactions on Computational Biology and Bioinformatics -
dc.citation.volume 20 -
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