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ve-SEQ: Robust, unbiased enrichment for streamlined detection and whole-genome sequencing of HCV and other highly diverse pathogens

Abstract:

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-virus genomes at up to 20% divergence from a reference sequence and 1,000-fold greater sensitivity than direct sequencing. The extreme genetic diversity of HCV led us to implement an algorithm for ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.12688/f1000research.7111.1

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Department:
Oxford, MSD, NDM, Human Genetics Wt Centre
Role:
Author
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Publisher:
F1000Research Publisher's website
Journal:
F1000Research Journal website
Volume:
2015
Issue:
4
Pages:
1062
Publication date:
2015-10-13
DOI:
ISSN:
2046-1402 and 1759-796X
Pubs id:
pubs:619408
URN:
uri:5fde61be-e854-43a8-add7-a194763c5809
UUID:
5fde61be-e854-43a8-add7-a194763c5809
Local pid:
pubs:619408
Paper number:
4

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