ve-SEQ: Robust, unbiased enrichment for streamlined detection and whole-genome sequencing of HCV and other highly diverse pathogens [version 1; referees: 2 approved]

ve-SEQ: Robust, unbiased enrichment for streamlined detection and whole-genome sequencing of HCV and other highly diverse pathogens [version 1; referees: 2 approved]

The routine availability of high-depth virus sequence data would allow the sensitive detection of resistance-associated variants that can jeopardize HIV or hepatitis C virus (HCV) treatment. We introduce ve-SEQ, a high-throughput method for sequence-specific enrichment and characterization of whole-...

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Bibliographic Details
Main Authors: David Bonsall, M. Azim Ansari, Camilla Ip, Amy Trebes, Anthony Brown, Paul Klenerman, David Buck, STOP-HCV Consortium, Paolo Piazza, Eleanor Barnes, Rory Bowden
Format: Article
Language:English
Published: F1000 Research Ltd 2015-10-01
Series:F1000Research
Subjects:
Genomics
HIV Infection & AIDS: Basic Science
Viral Infections (without HIV)
Online Access:http://f1000research.com/articles/4-1062/v1

Internet

http://f1000research.com/articles/4-1062/v1

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