pTuneos: prioritizing Tumor neoantigen from next-generation sequencing data
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Updated
Nov 14, 2021 - Python
pTuneos: prioritizing Tumor neoantigen from next-generation sequencing data
A neoantigen calling pipeline begins from variants record file (MAF) (Not maintain now)
Multi-Omics Peptide Generator
IRIS: Isoform peptides from RNA splicing for Immunotherapy target Screening
Calculate and explore property indices of peptides for cancer immunotherapy study
Neoantigen Discovery pipeline
Measuring peptide–MHC generalization to unseen alleles across both HLA classes — leakage-controlled benchmark + factorized predictor. Open 4.66M / research-use 5.8M measurements over 421 / 507 HLA alleles. Companion paper submitted to PLOS Computational Biology, 2026.
🧬 Canine neoantigen prioritization pipeline — from somatic variants to ranked vaccine candidates, purpose-built for dogs
Ultrafast MHC binding prediction. Immunogenicity scorer. Matching peptides and their mimics under MHC restriction
Leakage-aware, patient-level, reproducible benchmark resource for public MHC-I neoantigen predictors
HLA-A*02:01 nine-mer peptide binding prediction from sequence, with grouped validation and fully traceable metrics.
Reproducible pipeline integrating TCGA-LUAD somatic mutations with GEO RNA-seq expression to predict and prioritise candidate neoantigens
mRNA neoantigen vaccine design: epitope scanning and MHC binding prediction, fusion construct assembly, HBB UTR/Kozak/poly-A mRNA build, and IVT template generation
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