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- Publisher Website: 10.1089/cmb.2016.0146
- Scopus: eid_2-s2.0-85020439299
- PMID: 27901586
- WOS: WOS:000402997500009
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Conference Paper: Long Single-Molecule Reads Can Resolve the Complexity of the Influenza Virus Composed of Rare, Closely Related Mutant Variants
Title | Long Single-Molecule Reads Can Resolve the Complexity of the Influenza Virus Composed of Rare, Closely Related Mutant Variants |
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Authors | |
Keywords | RNA viral variants SMRT reads Single-nucleotide variation |
Issue Date | 2017 |
Citation | Journal of Computational Biology, 2017, v. 24, n. 6, p. 558-570 How to Cite? |
Abstract | © 2017, Mary Ann Liebert, Inc. As a result of a high rate of mutations and recombination events, an RNA-virus exists as a heterogeneous "swarm" of mutant variants. The long read length offered by single-molecule sequencing technologies allows each mutant variant to be sequenced in a single pass. However, high error rate limits the ability to reconstruct heterogeneous viral population composed of rare, related mutant variants. In this article, we present two single-nucleotide variants (2SNV), a method able to tolerate the high error rate of the single-molecule protocol and reconstruct mutant variants. 2SNV uses linkage between single-nucleotide variations to efficiently distinguish them from read errors. To benchmark the sensitivity of 2SNV, we performed a single-molecule sequencing experiment on a sample containing a titrated level of known viral mutant variants. Our method is able to accurately reconstruct clone with frequency of 0.2% and distinguish clones that differed in only two nucleotides distantly located on the genome. 2SNV outperforms existing methods for full-length viral mutant reconstruction. |
Persistent Identifier | http://hdl.handle.net/10722/285789 |
ISSN | 2023 Impact Factor: 1.4 2023 SCImago Journal Rankings: 0.659 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Artyomenko, Alexander | - |
dc.contributor.author | Wu, Nicholas C. | - |
dc.contributor.author | Mangul, Serghei | - |
dc.contributor.author | Eskin, Eleazar | - |
dc.contributor.author | Sun, Ren | - |
dc.contributor.author | Zelikovsky, Alex | - |
dc.date.accessioned | 2020-08-18T04:56:39Z | - |
dc.date.available | 2020-08-18T04:56:39Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Journal of Computational Biology, 2017, v. 24, n. 6, p. 558-570 | - |
dc.identifier.issn | 1066-5277 | - |
dc.identifier.uri | http://hdl.handle.net/10722/285789 | - |
dc.description.abstract | © 2017, Mary Ann Liebert, Inc. As a result of a high rate of mutations and recombination events, an RNA-virus exists as a heterogeneous "swarm" of mutant variants. The long read length offered by single-molecule sequencing technologies allows each mutant variant to be sequenced in a single pass. However, high error rate limits the ability to reconstruct heterogeneous viral population composed of rare, related mutant variants. In this article, we present two single-nucleotide variants (2SNV), a method able to tolerate the high error rate of the single-molecule protocol and reconstruct mutant variants. 2SNV uses linkage between single-nucleotide variations to efficiently distinguish them from read errors. To benchmark the sensitivity of 2SNV, we performed a single-molecule sequencing experiment on a sample containing a titrated level of known viral mutant variants. Our method is able to accurately reconstruct clone with frequency of 0.2% and distinguish clones that differed in only two nucleotides distantly located on the genome. 2SNV outperforms existing methods for full-length viral mutant reconstruction. | - |
dc.language | eng | - |
dc.relation.ispartof | Journal of Computational Biology | - |
dc.subject | RNA viral variants | - |
dc.subject | SMRT reads | - |
dc.subject | Single-nucleotide variation | - |
dc.title | Long Single-Molecule Reads Can Resolve the Complexity of the Influenza Virus Composed of Rare, Closely Related Mutant Variants | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.doi | 10.1089/cmb.2016.0146 | - |
dc.identifier.pmid | 27901586 | - |
dc.identifier.pmcid | PMC5467126 | - |
dc.identifier.scopus | eid_2-s2.0-85020439299 | - |
dc.identifier.volume | 24 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 558 | - |
dc.identifier.epage | 570 | - |
dc.identifier.isi | WOS:000402997500009 | - |
dc.identifier.issnl | 1066-5277 | - |