NeoSplice: a bioinformatics method for prediction of splice variant neoantigens.

ABSTRACT:

Motivation

Splice variant neoantigens are a potential source of tumor-specific antigen (TSA) that are shared between patients in a variety of cancers, including acute myeloid leukemia. Current tools for genomic prediction of splice variant neoantigens demonstrate promise. However, many tools have not been well validated with simulated and/or wet lab approaches, with no studies published that have presented a targeted immunopeptidome mass spectrometry approach designed specifically for identification of predicted splice variant neoantigens.

Results

In this study, we describe NeoSplice, a novel computational method for splice variant neoantigen prediction based on (i) prediction of tumor-specific k-mers from RNA-seq data, (ii) alignment of differentially expressed k-mers to th

SUBMITTER: Chai S 

PROVIDER: S-EPMC9154024 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature