Personalis ACE ImmunoID Analysis

  • Gemma Owens (Contributor)



Whole exome and transcriptome sequencing data for two patients with high-grade serous ovarian cancer. Data was used to identify non-synonymous somatic mutations which were predicted to give rise to neoantigens. Predicted neoantigens were filtered using peptide-MHC binding prediction algorithms. Neoantigens with a high predicted binding affinity were synthesised and screening for immunogenicity using autologous expanded TIL.
Date made available29 Oct 2018
PublisherMendeley Data

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