PT  - JOURNAL ARTICLE
AU  - Rubinsteyn, Alexander
AU  - Hodes, Isaac
AU  - Kodysh, Julia
AU  - Hammerbacher, Jeffrey
TI  - Vaxrank: A computational tool for designing personalized cancer vaccines
AID  - 10.1101/142919
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 142919
4099  - http://biorxiv.org/content/early/2017/05/27/142919.short
4100  - http://biorxiv.org/content/early/2017/05/27/142919.full
AB  - Therapeutic vaccines targeting mutant tumor antigens (“neoantigens”) are an increasingly popular form of personalized cancer immunotherapy. Vaxrank is a computational tool for selecting neoantigen vaccine peptides from tumor mutations, tumor RNA data, and patient HLA type. Vaxrank is freely available at www.github.com/hammerlab/vaxrank under the Apache 2.0 open source license and can also be installed from the Python Package Index.