Literature DB >> 22286879

Geno2pheno[454]: a Web server for the prediction of HIV-1 coreceptor usage from next-generation sequencing data.

Alexander Thielen1, Thomas Lengauer.   

Abstract

Inferring HIV-1 coreceptor usage from a genotype is becoming more and more important for the appropriate treatment of long-term patients. While results are already encouraging where standard bulk-nucleic acid sequencing methods are used, they are limited with respect to the detection of minor variants. In contrast, next-generation sequencing methods (ultradeep sequencing, pyrosequencing) are capable of sequencing virus quasispecies at very low quantities. However, as well as being very expensive, these methods generate vast amounts of data such that sequence analysis has to be automated by computer assistance. Here, we describe the geno2pheno[454] system which handles all processing and prediction steps involved in the prediction of coreceptor usage from massively parallel sequencing data. The system is split into a JAVA preprocessor which is run locally on the client side and a Web server which generates the prediction results. Predictions are based on the same prediction method as used in the geno2pheno[coreceptor] tool.
Copyright © 2012 S. Karger AG, Basel.

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Year:  2012        PMID: 22286879     DOI: 10.1159/000332002

Source DB:  PubMed          Journal:  Intervirology        ISSN: 0300-5526            Impact factor:   1.763


  7 in total

1.  Using ultradeep pyrosequencing to study HIV-1 coreceptor usage in primary and dual infection.

Authors:  Gabriel A Wagner; Mary E Pacold; Edgar Vigil; Gemma Caballero; Sheldon R Morris; Sergei L Kosakovsky Pond; Susan J Little; Douglas D Richman; Sara Gianella; Davey M Smith
Journal:  J Infect Dis       Date:  2013-04-18       Impact factor: 5.226

2.  Size, Composition, and Evolution of HIV DNA Populations during Early Antiretroviral Therapy and Intensification with Maraviroc.

Authors:  Antoine Chaillon; Sara Gianella; Steven M Lada; Josué Perez-Santiago; Parris Jordan; Caroline Ignacio; Maile Karris; Douglas D Richman; Sanjay R Mehta; Susan J Little; Joel O Wertheim; Davey M Smith
Journal:  J Virol       Date:  2018-01-17       Impact factor: 5.103

3.  Dual-mixed HIV-1 coreceptor tropism and HIV-associated neurocognitive deficits.

Authors:  Sheldon R Morris; Steven Paul Woods; Reena Deutsch; Susan J Little; Gabriel Wagner; Erin E Morgan; Robert K Heaton; Scott L Letendre; Igor Grant; Davey M Smith
Journal:  J Neurovirol       Date:  2013-10       Impact factor: 2.643

4.  Next generation sequencing reveals a high frequency of CXCR4 utilizing viruses in HIV-1 chronically infected drug experienced individuals in South Africa.

Authors:  Nontokozo D Matume; Denis M Tebit; Laurie R Gray; Marie-Louise Hammarskjold; David Rekosh; Pascal O Bessong
Journal:  J Clin Virol       Date:  2018-02-15       Impact factor: 3.168

5.  A genotypic test for HIV-1 tropism combining Sanger sequencing with ultradeep sequencing predicts virologic response in treatment-experienced patients.

Authors:  Ron M Kagan; Erik P Johnson; Martin Siaw; Pinaki Biswas; Douglass S Chapman; Zhaohui Su; Jamie L Platt; Rick L Pesano
Journal:  PLoS One       Date:  2012-09-27       Impact factor: 3.240

6.  Cost Saving Opportunities in NSCLC Therapy by Optimized Diagnostics.

Authors:  Ilija Nenadić; Jeanine Staber; Susanne Dreier; Guus Simons; Verena Schildgen; Michael Brockmann; Oliver Schildgen
Journal:  Cancers (Basel)       Date:  2017-07-11       Impact factor: 6.639

7.  HIV-1 tropism dynamics and phylogenetic analysis from longitudinal ultra-deep sequencing data of CCR5- and CXCR4-using variants.

Authors:  Mariano M Sede; Franco A Moretti; Natalia L Laufer; Leandro R Jones; Jorge F Quarleri
Journal:  PLoS One       Date:  2014-07-17       Impact factor: 3.240

  7 in total

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