File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1002/9781119272182.ch4
- Scopus: eid_2-s2.0-85019578881
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Book Chapter: Applications of High-Fidelity Sequencing Protocol to RNA Viruses
Title | Applications of High-Fidelity Sequencing Protocol to RNA Viruses |
---|---|
Authors | |
Keywords | QuasiRecomb Viral genome assembly High-fidelity sequencing protocol Next-generation sequencing RNA viruses Real HIV data Post-sequencing error correction techniques |
Issue Date | 2016 |
Publisher | Wiley. |
Citation | Applications of High-Fidelity Sequencing Protocol to RNA Viruses. In Măndoiu, I, Zelikovsky, A (Eds.), Computational Methods for Next Generation Sequencing Data Analysis, p. 85-104. Hoboken, NJ: Wiley, 2016 How to Cite? |
Abstract | © 2016 by John Wiley & Sons, Inc. All rights reserved. This chapter describes the used high-fidelity sequencing protocol, and introduces the approach for viral genome assembly (VGA) based on high-fidelity sequencing data. It presents the results of performance of VGA and some other viral assemblers on simulated data, describes the performance of VGA on real HIV data. The chapter compares different aligners to investigate the effect of their alignment on mapping statistics. Post-sequencing error correction techniques are available for reads obtained by regular protocol offering the possibility to partially correct sequencing errors trading off for real biological mutations. HCV virus exhibits more complex genomic architecture with lower population diversity and longer conserved regions than HIV. QuasiRecomb is designed to handle paired-end read data and manages to produce full-length viral genomes. The chapter discusses the application of the high-fidelity protocol that is the evaluation of error correction methods for next-generation sequencing (NGS) reads. |
Persistent Identifier | http://hdl.handle.net/10722/285956 |
ISBN | |
Series/Report no. | Wiley Series on Bioinformatics: Computational Techniques and Engineering |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mangul, Serghei | - |
dc.contributor.author | Wu, Nicholas C. | - |
dc.contributor.author | Nenastyeva, Ekaterina | - |
dc.contributor.author | Mancuso, Nicholas | - |
dc.contributor.author | Zelikovsky, Alexander | - |
dc.contributor.author | Sun, Ren | - |
dc.contributor.author | Eskin, Eleazar | - |
dc.date.accessioned | 2020-08-18T04:57:05Z | - |
dc.date.available | 2020-08-18T04:57:05Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Applications of High-Fidelity Sequencing Protocol to RNA Viruses. In Măndoiu, I, Zelikovsky, A (Eds.), Computational Methods for Next Generation Sequencing Data Analysis, p. 85-104. Hoboken, NJ: Wiley, 2016 | - |
dc.identifier.isbn | 9781118169483 | - |
dc.identifier.uri | http://hdl.handle.net/10722/285956 | - |
dc.description.abstract | © 2016 by John Wiley & Sons, Inc. All rights reserved. This chapter describes the used high-fidelity sequencing protocol, and introduces the approach for viral genome assembly (VGA) based on high-fidelity sequencing data. It presents the results of performance of VGA and some other viral assemblers on simulated data, describes the performance of VGA on real HIV data. The chapter compares different aligners to investigate the effect of their alignment on mapping statistics. Post-sequencing error correction techniques are available for reads obtained by regular protocol offering the possibility to partially correct sequencing errors trading off for real biological mutations. HCV virus exhibits more complex genomic architecture with lower population diversity and longer conserved regions than HIV. QuasiRecomb is designed to handle paired-end read data and manages to produce full-length viral genomes. The chapter discusses the application of the high-fidelity protocol that is the evaluation of error correction methods for next-generation sequencing (NGS) reads. | - |
dc.language | eng | - |
dc.publisher | Wiley. | - |
dc.relation.ispartof | Computational Methods for Next Generation Sequencing Data Analysis | - |
dc.relation.ispartofseries | Wiley Series on Bioinformatics: Computational Techniques and Engineering | - |
dc.subject | QuasiRecomb | - |
dc.subject | Viral genome assembly | - |
dc.subject | High-fidelity sequencing protocol | - |
dc.subject | Next-generation sequencing | - |
dc.subject | RNA viruses | - |
dc.subject | Real HIV data | - |
dc.subject | Post-sequencing error correction techniques | - |
dc.title | Applications of High-Fidelity Sequencing Protocol to RNA Viruses | - |
dc.type | Book_Chapter | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1002/9781119272182.ch4 | - |
dc.identifier.scopus | eid_2-s2.0-85019578881 | - |
dc.identifier.spage | 85 | - |
dc.identifier.epage | 104 | - |
dc.publisher.place | Hoboken, NJ | - |