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Cited by 374

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Los Alamos hepatitis C sequence database

Kuiken, Carla, Yusim, Karina, Boykin, Laura, Richardson, Russell·2005·Bioinformatics

Abstract

Motivation: The hepatitis C virus (HCV) is a significant threat to public health worldwide. The virus is highly variable and evolves rapidly, making it an elusive target for the immune system and for vaccine and drug design. At present, some 30 000 HCV sequences have been published. A central website that provides annotated sequences and analysis tools will be helpful to HCV scientists worldwide. Results: The HCV sequence database collects and annotates sequence data and provides them to the public via a website that contains a user-friendly search interface and a large number of sequence analysis tools, based on the model of the highly regarded Los Alamos HIV database. The HCV sequence database was officially launched in September 2003. Since then, its usage has steadily increased and is now at an average of ∼280 visits per day from distinct IP addresses. Availability: The HCV website can be accessed via http://hcv.lanl.gov and http://hcv-db.org Contact: hcv-info@lanl.gov

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Metadata

Authors
Kuiken, C., Yusim, K., Boykin, L., & Richardson, R.
Venue
Bioinformatics
Published
2004-09-17
Volume
21
Issue
3
Pages
379-384
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2106927931
Cited by
374
References
2
FWCI
12.15
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Los Alamos hepatitis C sequence database. https://app.cochat.ai/papers/10.1093/bioinformatics/bth485
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Kuiken, C., Yusim, K., Boykin, L., & Richardson, R. (2005). The Los Alamos hepatitis C sequence database. Bioinformatics. https://doi.org/10.1093/bioinformatics/bth485

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.