Literature DB >> 22440844

Ultra-deep sequencing for the analysis of viral populations.

Niko Beerenwinkel1, Osvaldo Zagordi.   

Abstract

Next-generation sequencing allows for cost-effective probing of virus populations at an unprecedented level of detail. The massively parallel sequencing approach can detect low-frequency mutations and it provides a snapshot of the entire virus population. However, analyzing ultra-deep sequencing data obtained from diverse virus populations is challenging because of PCR and sequencing errors and short read lengths, such that the experiment provides only indirect evidence of the underlying viral population structure. Recent computational and statistical advances allow for accommodating some of the confounding factors, including methods for read error correction, haplotype reconstruction, and haplotype frequency estimation. With these methods ultra-deep sequencing can be more reliably used to analyze, in a quantitative manner, the genetic diversity of virus populations.
Copyright © 2011 Elsevier B.V. All rights reserved.

Mesh:

Year:  2011        PMID: 22440844     DOI: 10.1016/j.coviro.2011.07.008

Source DB:  PubMed          Journal:  Curr Opin Virol        ISSN: 1879-6257            Impact factor:   7.090


  77 in total

1.  QuRe: software for viral quasispecies reconstruction from next-generation sequencing data.

Authors:  Mattia C F Prosperi; Marco Salemi
Journal:  Bioinformatics       Date:  2011-11-15       Impact factor: 6.937

Review 2.  Viral quasispecies evolution.

Authors:  Esteban Domingo; Julie Sheldon; Celia Perales
Journal:  Microbiol Mol Biol Rev       Date:  2012-06       Impact factor: 11.056

3.  Reconstruction of viral population structure from next-generation sequencing data using multicommodity flows.

Authors:  Pavel Skums; Nicholas Mancuso; Alexander Artyomenko; Bassam Tork; Ion Mandoiu; Yury Khudyakov; Alex Zelikovsky
Journal:  BMC Bioinformatics       Date:  2013-06-28       Impact factor: 3.169

4.  Dynamics of viral evolution and neutralizing antibody response after HIV-1 superinfection.

Authors:  Antoine Chaillon; Gabriel A Wagner; N Lance Hepler; Susan J Little; Sergei L Kosakovsky Pond; Gemma Caballero; Mary E Pacold; Pham Phung; Terri Wrin; Douglas D Richman; Joel O Wertheim; Davey M Smith
Journal:  J Virol       Date:  2013-09-18       Impact factor: 5.103

5.  Hepatitis C Virus (HCV) NS3 sequence diversity and antiviral resistance-associated variant frequency in HCV/HIV coinfection.

Authors:  Cassandra B Jabara; Fengyu Hu; Katie R Mollan; Sara E Williford; Prema Menezes; Yan Yang; Joseph J Eron; Michael W Fried; Michael G Hudgens; Corbin D Jones; Ronald Swanstrom; Stanley M Lemon
Journal:  Antimicrob Agents Chemother       Date:  2014-08-04       Impact factor: 5.191

6.  The Number of Target Molecules of the Amplification Step Limits Accuracy and Sensitivity in Ultradeep-Sequencing Viral Population Studies.

Authors:  Romain Gallet; Frédéric Fabre; Yannis Michalakis; Stéphane Blanc
Journal:  J Virol       Date:  2017-07-27       Impact factor: 5.103

7.  Ultra-Deep Sequencing Analysis on HIV Drug-Resistance-Associated Mutations Among HIV-Infected Individuals: First Report from the Philippines.

Authors:  Ivo N SahBandar; Genesis Samonte; Elizabeth Telan; Nalyn Siripong; Mahdi Belcaid; David Schanzenbach; Susan Leano; Haorile Chagan-Yasutan; Toshio Hattori; Cecilia M Shikuma; Lishomwa C Ndhlovu
Journal:  AIDS Res Hum Retroviruses       Date:  2017-07-05       Impact factor: 2.205

8.  ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time.

Authors:  Yunpeng Cai; Wei Zheng; Jin Yao; Yujie Yang; Volker Mai; Qi Mao; Yijun Sun
Journal:  PLoS Comput Biol       Date:  2017-04-24       Impact factor: 4.475

Review 9.  Within-host nucleotide diversity of virus populations: insights from next-generation sequencing.

Authors:  Chase W Nelson; Austin L Hughes
Journal:  Infect Genet Evol       Date:  2014-12-04       Impact factor: 3.342

10.  Rapid hepatitis C virus divergence among chronically infected individuals.

Authors:  Mayra Cruz-Rivera; Juan Carlos Carpio-Pedroza; Alejandro Escobar-Gutiérrez; Daniela Lozano; Arely Vergara-Castaneda; Pilar Rivera-Osorio; Armando Martinez-Guarneros; Carlos A Vazquez Chacon; Salvador Fonseca-Coronado; Gilberto Vaughan
Journal:  J Clin Microbiol       Date:  2012-12-05       Impact factor: 5.948

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