Literature DB >> 20571603

Covering all bases in HIV research: unveiling a hidden world of viral evolution.

Bram Vrancken1, Sébastian Lequime, Kristof Theys, Philippe Lemey.   

Abstract

The advent of next-generation sequencing technologies has greatly impacted genomic research by providing a means for increasing the amount of sequence information in a cost effective fashion. Among the major next-generation sequencing technologies, the Roche 454 platform has been widely adopted in HIV research. We discuss a broad range of applications of the 454 pyrosequencing platform in the HIV field, with a particular emphasis on antiretroviral therapy and virus-host interaction-related research. We also highlight some of the bioinformatics challenges, as well as advantages and potential limitations of this "deep" sequencing tool, and hint at future research applications.

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Year:  2010        PMID: 20571603

Source DB:  PubMed          Journal:  AIDS Rev        ISSN: 1139-6121            Impact factor:   2.500


  14 in total

1.  Impact of CCR5delta32 host genetic background and disease progression on HIV-1 intrahost evolutionary processes: efficient hypothesis testing through hierarchical phylogenetic models.

Authors:  Diana Edo-Matas; Philippe Lemey; Jennifer A Tom; Cèlia Serna-Bolea; Agnes E van den Blink; Angélique B van 't Wout; Hanneke Schuitemaker; Marc A Suchard
Journal:  Mol Biol Evol       Date:  2010-12-06       Impact factor: 16.240

2.  Detection of cytomegalovirus drug resistance mutations by next-generation sequencing.

Authors:  Malaya K Sahoo; Martina I Lefterova; Fumiko Yamamoto; Jesse J Waggoner; Sunwen Chou; Susan P Holmes; Matthew W Anderson; Benjamin A Pinsky
Journal:  J Clin Microbiol       Date:  2013-08-28       Impact factor: 5.948

3.  A classification model for G-to-A hypermutation in hepatitis B virus ultra-deep pyrosequencing reads.

Authors:  Elizabeth C Reuman; Severine Margeridon-Thermet; Harrison B Caudill; Tommy Liu; Katyna Borroto-Esoda; Evguenia S Svarovskaia; Susan P Holmes; Robert W Shafer
Journal:  Bioinformatics       Date:  2010-10-11       Impact factor: 6.937

4.  HIV-1 Drug Resistance Assay Using Ion Torrent Next Generation Sequencing and On-Instrument End-to-End Analysis Software.

Authors:  Michael T Pyne; Keith E Simmon; Melanie A Mallory; Weston C Hymas; Jeffery Stevenson; Adam P Barker; David R Hillyard
Journal:  J Clin Microbiol       Date:  2022-06-14       Impact factor: 11.677

5.  Read length versus depth of coverage for viral quasispecies reconstruction.

Authors:  Osvaldo Zagordi; Martin Däumer; Christian Beisel; Niko Beerenwinkel
Journal:  PLoS One       Date:  2012-10-03       Impact factor: 3.240

6.  Challenges and opportunities in estimating viral genetic diversity from next-generation sequencing data.

Authors:  Niko Beerenwinkel; Huldrych F Günthard; Volker Roth; Karin J Metzner
Journal:  Front Microbiol       Date:  2012-09-11       Impact factor: 5.640

Review 7.  Applications of next-generation sequencing technologies to diagnostic virology.

Authors:  Luisa Barzon; Enrico Lavezzo; Valentina Militello; Stefano Toppo; Giorgio Palù
Journal:  Int J Mol Sci       Date:  2011-11-14       Impact factor: 5.923

8.  Use of a high resolution melting (HRM) assay to compare gag, pol, and env diversity in adults with different stages of HIV infection.

Authors:  Matthew M Cousins; Oliver Laeyendecker; Geetha Beauchamp; Ronald Brookmeyer; William I Towler; Sarah E Hudelson; Leila Khaki; Beryl Koblin; Margaret Chesney; Richard D Moore; Gabor D Kelen; Thomas Coates; Connie Celum; Susan P Buchbinder; George R Seage; Thomas C Quinn; Deborah Donnell; Susan H Eshleman
Journal:  PLoS One       Date:  2011-11-02       Impact factor: 3.240

9.  Deep-sequencing of the peach latent mosaic viroid reveals new aspects of population heterogeneity.

Authors:  Jean-Pierre Sehi Glouzon; François Bolduc; Shengrui Wang; Rafael J Najmanovich; Jean-Pierre Perreault
Journal:  PLoS One       Date:  2014-01-30       Impact factor: 3.240

10.  Accurate single nucleotide variant detection in viral populations by combining probabilistic clustering with a statistical test of strand bias.

Authors:  Kerensa McElroy; Osvaldo Zagordi; Rowena Bull; Fabio Luciani; Niko Beerenwinkel
Journal:  BMC Genomics       Date:  2013-07-24       Impact factor: 3.969

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