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Integrated protocol for exitron and exitron-derived neoantigen identification using human RNA-seq data with ScanExitron and ScanNeo.
Wang, Ting-You; Yang, Rendong.
Afiliación
  • Wang TY; The Hormel Institute, University of Minnesota, Austin, MN 55912, USA.
  • Yang R; The Hormel Institute, University of Minnesota, Austin, MN 55912, USA.
STAR Protoc ; 2(3): 100788, 2021 09 17.
Article en En | MEDLINE | ID: mdl-34522901
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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Empalme del ARN / Genómica / RNA-Seq / Antígenos de Neoplasias Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: STAR Protoc Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Empalme del ARN / Genómica / RNA-Seq / Antígenos de Neoplasias Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: STAR Protoc Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos