pVACview is a R shiny based tool designed to aid specifically in the prioritization and selection of neoantigen candidates for personalized cancer vaccines. It takes as inputs a pVACseq output aggregate report file (tsv format) and a corresponding pVACseq output metrics file (json). pVACview allows the user to launch an R shiny application to load and visualize the given neoantigen candidates with detailed information including that of the genomic variant, transcripts covering the variant, and good-binding peptides predicted from the respective transcripts. It also incorporates anchor prediction data for a range of class I HLA alleles and peptides ranging from 8 to 11-mers. By taking all levels of information into account for the neoantigen candidates, clinicians will be able to make more informed decisions when deciding final peptide candidates for personalized cancer vaccines.
- Getting Started
- Commonly Asked Questions