neoantigenR: An R Package for Identifying Tumor Neoantigen from Sequencing Data
This article presents the publication by Shaojun Tang et al., in bioRxiv 2017, entitled:
neoantigenR: An annotation based pipeline for tumor neoantigen identification from sequencing data.
The authors introduce an R package that allows the discoveries of peptide epitope candidates, which are the tumor-specific peptide fragments containing potential functional neoantigens.
These peptide epitopes consist of structure variants including insertion, deletions, alternative sequences, and peptides from nonsynonymous mutations.
Analysis of these precursor candidates with widely used tools such as netMHC allows for the accurate in-silico prediction of neoantigens.
The pipeline named neoantigeR is currently hosted in https://github.com/ICBI/neoantigeR.
neoantigenR: An annotation based pipeline for tumor neoantigen identification from sequencing data.
The authors introduce an R package that allows the discoveries of peptide epitope candidates, which are the tumor-specific peptide fragments containing potential functional neoantigens.
These peptide epitopes consist of structure variants including insertion, deletions, alternative sequences, and peptides from nonsynonymous mutations.
Analysis of these precursor candidates with widely used tools such as netMHC allows for the accurate in-silico prediction of neoantigens.
The pipeline named neoantigeR is currently hosted in https://github.com/ICBI/neoantigeR.