SieveSifter: a web-based tool for visualizing the sieve analyses of HIV-1 vaccine efficacy trials
Author(s) -
Andrew Fioré-Gartland,
Kullman Nicholas,
Allan C. deCamp,
Graham Clenaghan,
Wayne Yang,
Craig A. Magaret,
Paul T. Edlefsen,
Peter B. Gilbert
Publication year - 2017
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btx168
Subject(s) - hiv vaccine , sieve (category theory) , human immunodeficiency virus (hiv) , vaccine trial , clinical trial , computer science , visualization , medicine , virology , biology , bioinformatics , data mining , mathematics , combinatorics
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.
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