Journal article
ve-SEQ: Robust, unbiased enrichment for streamlined detection and whole-genome sequencing of HCV and other highly diverse pathogens
- Abstract:
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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
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(Version of record, pdf, 5.8MB)
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- Publisher copy:
- 10.12688/f1000research.7111.1
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Authors
Bibliographic Details
- Publisher:
- F1000Research Publisher's website
- Journal:
- F1000Research Journal website
- Volume:
- 2015
- Issue:
- 4
- Pages:
- 1062
- Publication date:
- 2015-10-13
- DOI:
- ISSN:
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2046-1402 and 1759-796X
- Source identifiers:
-
619408
Item Description
- Language:
- English
- Keywords:
- Pubs id:
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pubs:619408
- UUID:
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uuid:5fde61be-e854-43a8-add7-a194763c5809
- Local pid:
- pubs:619408
- Deposit date:
- 2016-08-11
Terms of use
- Copyright holder:
- David Bonsall et al
- Copyright date:
- 2015
- Notes:
- This is an open access article distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).
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