@article{3be1b22259bc4b1a86cf2b498166b736,
title = "Integrated protocol for exitron and exitron-derived neoantigen identification using human RNA-seq data with ScanExitron and ScanNeo",
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",
author = "Wang, {Ting You} and Rendong Yang",
note = "Funding Information: We acknowledge the following sources of funding: DoD ( W81XWH-19-1-0161 ) to R.Y. and Eagles Telethon Postdoctoral Fellowship to T.-Y.W. We thank Dr. Jeffrey McDonald at The Hormel Institute for his technical support for computing facilities. Support from the Minnesota Supercomputer Institute (MSI) is also gratefully acknowledged. Funding Information: We acknowledge the following sources of funding: DoD (W81XWH-19-1-0161) to R.Y. and Eagles Telethon Postdoctoral Fellowship to T.-Y.W. We thank Dr. Jeffrey McDonald at The Hormel Institute for his technical support for computing facilities. Support from the Minnesota Supercomputer Institute (MSI) is also gratefully acknowledged. Writing, T.-Y.W. and R.Y.; development and processing, T.-Y.W.; funding acquisition, R.Y. The authors declare no competing interests. Publisher Copyright: {\textcopyright} 2021 The Author(s)",
year = "2021",
month = sep,
day = "17",
doi = "10.1016/j.xpro.2021.100788",
language = "English (US)",
volume = "2",
journal = "STAR Protocols",
issn = "2666-1667",
publisher = "Cell Press",
number = "3",
}
