Integrated protocol for exitron and exitron-derived neoantigen identification using human RNA-seq data with ScanExitron and ScanNeo
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Updated: Oct 20, 2025

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
Published on: August 3, 2018
Ting-You Wang1, Rendong Yang1,2
1The Hormel Institute, University of Minnesota, Austin, MN 55912, USA.
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).
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