SieveSifter: a web-based tool for visualizing the sieve analyses of HIV-1 vaccine efficacy trials.
Bioinformatics
; 33(15): 2386-2388, 2017 Aug 01.
Article
in En
| MEDLINE
| ID: mdl-28379332
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. AVAILABILITY AND IMPLEMENTATION Visualization http//sieve.fredhutch.org/viz . Source code https//github.com/nkullman/SIEVE . Data API http//sieve.fredhutch.org/data . CONTACT agartlan@fredhutch.org.
Full text:
1
Database:
MEDLINE
Main subject:
Software
/
HIV Infections
/
Randomized Controlled Trials as Topic
/
HIV-1
/
Computational Biology
Type of study:
Clinical_trials
Limits:
Humans
Language:
En
Journal:
Bioinformatics
Journal subject:
INFORMATICA MEDICA
Year:
2017
Type:
Article
Affiliation country:
United States