Integrated protocol for exitron and exitron-derived neoantigen identification using human RNA-seq data with ScanExitron and ScanNeo

STAR Protoc. 2021 Sep 3;2(3):100788. doi: 10.1016/j.xpro.2021.100788. eCollection 2021 Sep 17.

Abstract

Exitron splicing (EIS) events in cancers can disrupt functional protein domains to cause cancer driver effects. EIS has been recognized as a new source of tumor neoantigens. Here, we describe an integrated protocol for EIS and EIS-derived neoantigen identification using RNA-seq data. The protocol constitutes a step-by-step guide from data collection to neoantigen prediction. For complete details on the use and execution of this protocol, please refer to Wang et al. (2021).

Keywords: Bioinformatics; Cancer; Genetics; Genomics; Immunology; RNAseq.