title: SieveSifter: a web-based tool for visualizing the sieve analyses of HIV-1 vaccine efficacy trials.
abstract: CONCLUSIONS
  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.
  
  
  METHODS
  Visualization: http://sieve.fredhutch.org/viz . Source code: https://github.com/nkullman/SIEVE . Data API: http://sieve.fredhutch.org/data .
  
  
  BACKGROUND
  agartlan@fredhutch.org.
authors.affiliation: Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA.|eScience Institute, University of Washington, Seattle, WA 98195-1570, USA.
authors.forename: Andrew
authors.initials: A
authors.lastname: Fiore-Gartland
authors.affiliation: eScience Institute, University of Washington, Seattle, WA 98195-1570, USA.
authors.forename: Nicholas
authors.initials: N
authors.lastname: Kullman
authors.affiliation: Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA.
authors.forename: Allan C
authors.initials: AC
authors.lastname: deCamp
authors.affiliation: eScience Institute, University of Washington, Seattle, WA 98195-1570, USA.
authors.forename: Graham
authors.initials: G
authors.lastname: Clenaghan
authors.affiliation: eScience Institute, University of Washington, Seattle, WA 98195-1570, USA.
authors.forename: Wayne
authors.initials: W
authors.lastname: Yang
authors.affiliation: Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA.
authors.forename: Craig A
authors.initials: CA
authors.lastname: Magaret
authors.affiliation: Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA.
authors.forename: Paul T
authors.initials: PT
authors.lastname: Edlefsen
authors.affiliation: Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA.|Department of Biostatistics, University of Washington, Seattle, WA 98109-1024, USA.
authors.forename: Peter B
authors.initials: PB
authors.lastname: Gilbert
mesh_terms: D016915:AIDS Vaccines / Q000276:immunology; D019295:Computational Biology / Q000379:methods*; D015658:HIV Infections / Q000276:immunology* / Q000517:prevention & control / Q000821:virology; D015497:HIV-1 / Q000276:immunology*; D006801:Humans; D020407:Internet; D016032:Randomized Controlled Trials as Topic; D012984:Software
chemical_list: D016915:AIDS Vaccines