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SieveSifter: a web-based tool for visualizing the sieve analyses of HIV-1 vaccine efficacy trials.
- Source :
-
Bioinformatics (Oxford, England) [Bioinformatics] 2017 Aug 01; Vol. 33 (15), pp. 2386-2388. - Publication Year :
- 2017
-
Abstract
- Summary: 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.<br />Availability and Implementation: Visualization: http://sieve.fredhutch.org/viz . Source code: https://github.com/nkullman/SIEVE . Data API: http://sieve.fredhutch.org/data .<br />Contact: agartlan@fredhutch.org.<br /> (© The Author(s) 2017. Published by Oxford University Press.)
Details
- Language :
- English
- ISSN :
- 1367-4811
- Volume :
- 33
- Issue :
- 15
- Database :
- MEDLINE
- Journal :
- Bioinformatics (Oxford, England)
- Publication Type :
- Academic Journal
- Accession number :
- 28379332
- Full Text :
- https://doi.org/10.1093/bioinformatics/btx168