Stanford University HIV Drug Resistance Database - A curated public database designed to represent, store, and analyze the divergent forms of data underlying HIV drug resistance.

Phenotype Comparison

Comparison of the Precision and Sensitivity of
the Antivirogram and PhenoSense HIV Drug Susceptibility Assays

table of contents

  1. raw data sets
  2. statistical analyses
    1. Parametric and Nonparametric Measures of Reproducibility of Susceptibility Tests
      Performed on HIV-1 Isolates Lacking Drug-Resistance Mutations.
    2. Parametric and Nonparametric Measures of Reproducibility of Susceptibility Tests
      Performed on HIV-1 Isolates eith Matching Patterns of Drug-Resistance Mutations.
    3. Drug Resistance Prediction Using Biological Cut-offs for the Most Common Patterns of NRTI Resistance Mutations.
    4. ROC (Receiver Operator Characteristic) curves showing the Sensitivity and Specificity in Detecting Resistance
      to ABC(abacavir), DDI(didanosine) and D4T(stabudine) of Isolates containing M41L+M184V+T215Y+/-L210W.

raw data sets

statistical analyses

Each statistical analysis uses a perl script to transform raw data and generate input data for a R script.
Each R script does a statistical testing on the transformed data.

  1. Parametric and Nonparametric Measures of Reproducibility of Susceptibility Tests
    Performed on HIV-1 Isolates Lacking Drug-Resistance Mutations. [Table 1]

  2. Parametric and Nonparametric Measures of Reproducibility of Susceptibility Tests
    Performed on HIV-1 Isolates with Matching Patterns of Drug-Resistance Mutations. [Table 2]

  3. Drug Resistance Prediction Using Biological Cut-offs for the Most Common Patterns of NRTI Resistance Mutations. [Table 3]

  4. ROC (Receiver Operator Characteristic) curves showing the Sensitivity and Specificity in Detecting Resistance
    to ABC(abacavir), DDI(didanosine) and D4T(stabudine) of Isolates containing M41L+M184V+T215Y+/-L210W. [Figure 1]