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.

TCE (Treatment Change Episode) Dataset


Rhee SY, Fessel WJ, Liu TF, Marlowe NM, Rowland CM, Rode RA, Vandamme AM, Van Laethem K, Brun-Vezinet F, Calvez V, Taylor J, Hurley L, Horberg M, Shafer RW (2009). Predictive Value of HIV-1 Genotypic Resistance Test Interpretation Algorithms. Journal of Infectious Diseases, 2009 Aug 1;200(3):453-463. (click here to access the reference in HIVDB)
Rosen-Zvi M, Altmann A, Prosperi M, Aharoni E, Neuvirth H, Sonnerborg A, Schulter E, Struck D, Peres Y, Incardona F, Kaiser R, Zazzi M, Lengauer T (2008). Selecting anti-HIV therapies based on a variety of genomic and clinical factors Bioinformatics, 2008 Jul 1;24(13):i399-406. (Data was contributed by the EuResist network .)

ART-AiDE: Antiretroviral (ARV) Treatment Acquisition and Display Engine. A standardized XML schema for sharing, displaying, and analyzing HIV treatment response. Application to 1,000 Treatment Change Episodes from Three Clinics. Rhee SY, Blanco JL, et al (manuscript in preparation).

Download TCEs

TCE data is formatted in the XML schema. To download all TCE XMLs, click here. This TCE XML file can be uploaded to TCE Viewer (at the bottom of this page) to generate a graphical summary.
using TCE Viewer

TCE Viewer generates a graphical summary of the TCE given a TCE XML.

To browse each TCE using TCE Viewer, click here.

To create a graphical summary of your own TCE or a previously saved TCE, upload the TCE XML to TCE Viewer using the form below.

TCE Viewer

Browse for the previously saved TCE XML from your computer, then click the "Load" button.