SieveSifter: a web-based tool for visualizing the sieve analyses of HIV-1 vaccine efficacy trials
Abstract
Analysis of HIV-1 virions from participants infected in a randomized controlled preventive HIV-1 vaccine efficacy trial can help elucidate mechanisms of partial protection. By comparing the genetic sequence of viruses from vaccine and placebo recipients to the sequence of the vaccine itself, a technique called ‘sieve analysis’, one can identify functional specificities of vaccine-induced immune responses. We have created an interactive web-based visualization and data access tool for exploring the results of sieve analyses performed on four major preventive HIV-1 vaccine efficacy trials: (i) the HIV Vaccine Trial Network (HVTN) 502/Step trial, (ii) the RV144/Thai trial, (iii) the HVTN 503/Phambili trial and (iv) the HVTN 505 trial. The tool acts simultaneously as a platform for rapid reinterpretation of sieve effects and as a portal for organizing and sharing the viral sequence data. Access to these valuable datasets also enables the development of novel methodology for future sieve analyses.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Apr 04, 2017
- Source ID
- 10.1093/bioinformatics/btx168
Entities
People
- Allan C deCamp
- Andrew Fiore-gartland
- Craig A Magaret
- Graham Clenaghan
- Nicholas Kullman
- Paul T. Edlefsen
- Peter B Gilbert
- Wayne Yang
Organizations
- Fred Hutchinson Cancer Center
- Gordon and Betty Moore Foundation
- National Institute of Allergy and Infectious Diseases
- National Institutes of Health
- United States Department of Defense
- University of Washington