Oxford Centre for Immuno-Oncology

Personalised neoantigen prediction for cancer vaccines

From somatic mutations to ranked vaccine targets in minutes. Upload VCF, MAF, or CSV. Get MHC binding predictions, cleavage scores, and immunogenicity rankings.

GCP Secured
GDPR Compliant
University of Oxford

How it works

1

Upload Mutations

VCF (VEP, SnpEff, DRAGEN), TCGA MAF, or pre-processed CSV with protein changes.

2

Parse & Filter

Extract coding somatic variants. Filter by consequence, VAF, read depth.

3

Predict Binding

MHCflurry predicts binding affinity, presentation score, and cleavage probability per HLA allele.

4

Rank Targets

Multi-factor scoring combining binding, expression, VAF, and sequence properties.

Built for real clinical data

Handles output from all major annotation pipelines. Robust parsing, informative error messages, and transparent scoring.

Multi-format Input

VCF with VEP, SnpEff, Funcotator, DRAGEN, or Nirvana annotations. TCGA MAF format. Pre-processed CSV. Optional RNA expression matrices.

Clinical-grade Prediction

MHCflurry 2.0 binding, presentation, and processing scores. Validated against published benchmarks. Supports 150+ HLA-A/B/C alleles.

Transparent Scoring

Each epitope score is decomposable: binding weight, expression weight, VAF contribution, and sequence features. No black boxes.

29
Consequence terms supported
6
Annotation tools handled
150+
HLA alleles supported
5
Scoring factors combined

Ready to design your vaccine?

Create an account and run your first analysis in under 2 minutes.

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