Figure 3From: Distinguishing HIV-1 drug resistance, accessory, and viral fitness mutations using conditional selection pressure analysis of treated versus untreated patient samplesPositive conditional selection pressure in the Specialty and Treated datasets. (K a /K s )Y|Xa values for positive conditional selection pressures in the Specialty and Treated datasets are plotted. To filter the dataset to sites where (K a /K s )Y|Xa could be estimated with accuracy, only selection pressures with NXaYa + NXaYs > 100 in both datasets were showed. An empty triangle indicated that we were not confident about the conditional selection value in the Treated dataset. The correlation coefficient of the conditional selection pressures in these two datasets is 0.495.Back to article page