HIV Drug Resistance Database statistics

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Citations per year

Number of citations per year for the bioinformatics software tool HIV Drug Resistance Database
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Protocols

HIV Drug Resistance Database specifications

Information


Unique identifier OMICS_03074
Name HIV Drug Resistance Database
Restrictions to use None
Maintained Yes
Wikipedia https://en.wikipedia.org/wiki/HIV_Drug_Resistance_Database

Taxon


  • Viruses
    • Human immunodeficiency virus 1
    • Human immunodeficiency virus 2

Maintainer


  • person_outline Robert W. Shafer

Publication for HIV Drug Resistance Database

HIV Drug Resistance Database citations

 (65)
library_books

Risk factors and outcomes for the Q151M and T69 insertion HIV 1 resistance mutations in historic UK data

2018
PMCID: 5902836
PMID: 29661246
DOI: 10.1186/s12981-018-0198-7

[…] ART-status was available in all UK CHIC-linked patients for the analyses of risk factors and outcomes.The identification of drug resistance mutations was based on output from the Stanford University HIV Drug Resistance Database program. Following established convention (and software output) [], the term ‘T69i mutation’ is used throughout to refer to any insertion in the β3–β4 loop of reverse tran […]

library_books

A high HIV 1 strain variability in London, UK, revealed by full genome analysis: Results from the ICONIC project

2018
PLoS One
PMCID: 5794160
PMID: 29389981
DOI: 10.1371/journal.pone.0192081

[…] d their closest sequences in public sequence databases identified by BLAST. For those URF presenting breakpoints in the PR+RT pol region, genetically similar pol sequences were searched within the UK HIV Drug Resistance database (UKHDRD). In the following paragraphs we provide a detailed explanation for the most frequent and/or complex URF. The rest of the URF analyses are detailed in the Supporti […]

library_books

A standardised method for interpreting the association between mutations and phenotypic drug resistance in Mycobacterium tuberculosis

2017
PMCID: 5898944
PMID: 29284687
DOI: 10.1183/13993003.01354-2017

[…] ded list of mutations to improve in precision iteratively as data are accumulated, and it will be revised annually through an expert review process similar to the methods established for the Stanford HIV Drug Resistance Database (https://hivdb.stanford.edu). This will be of particular value for the interpretation of WGS-based in vitro diagnostics that are currently being piloted as decision suppor […]

library_books

Characterization of HIV 1 Near Full Length Proviral Genome Quasispecies from Patients with Undetectable Viral Load Undergoing First Line HAART Therapy

2017
Viruses
PMCID: 5744166
PMID: 29257103
DOI: 10.3390/v9120392

[…] itutions were observed along that HIV genome. The evidence of hypermutation as an apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like (APOBEC) action was also highlighted by the Stanford HIV drug resistance database during the analysis of resistance mutations for that virus.An important limitation of the present study is that the proviral sequences have not been fully evaluated for re […]

library_books

HIV 1 viraemia and drug resistance amongst female sex workers in Soweto, South Africa: A cross sectional study

2017
PLoS One
PMCID: 5731765
PMID: 29244809
DOI: 10.1371/journal.pone.0188606

[…] nd p51 regions of the reverse transcriptase genes. Genotypic resistance was defined as the presence of resistance mutations associated with impaired drug susceptibility, using the Stanford University HIV Drug Resistance Database (https://hivdb.stanford.edu/). Phylogenetic analysis of nucleic sequences was performed using an HKY85 model to establish linkages using PAUP. Specimens were repeated from […]

library_books

Assessment of HIV molecular surveillance capacity in the European Union, 2016

2017
PMCID: 5727594
PMID: 29233253
DOI: 10.2807/1560-7917.ES.2017.22.49.17-00269

[…] their sequence data. Three countries also reported using next-generation sequencing (NGS) analysis to generate their HIV sequence data. The Rega HIV subtyping tool (n = 6 countries) and the Stanford HIV Drug resistance database (n = 3 countries) were the most widely reported tools for subtype analysis. There was little difference among countries in the genes used for HIV genome sequencing, with p […]


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HIV Drug Resistance Database institution(s)
Division of Infectious Diseases, Department of Medicine, Stanford University, Stanford, CA, USA

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