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Integrated protocol for exitron and exitron-derived neoantigen identification using human RNA-seq data with ScanExitron and ScanNeo
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 co...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424586/ https://www.ncbi.nlm.nih.gov/pubmed/34522901 http://dx.doi.org/10.1016/j.xpro.2021.100788 |
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author | Wang, Ting-You Yang, Rendong |
author_facet | Wang, Ting-You Yang, Rendong |
author_sort | Wang, Ting-You |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-8424586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84245862021-09-13 Integrated protocol for exitron and exitron-derived neoantigen identification using human RNA-seq data with ScanExitron and ScanNeo Wang, Ting-You Yang, Rendong STAR Protoc Protocol 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). Elsevier 2021-09-03 /pmc/articles/PMC8424586/ /pubmed/34522901 http://dx.doi.org/10.1016/j.xpro.2021.100788 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Wang, Ting-You Yang, Rendong Integrated protocol for exitron and exitron-derived neoantigen identification using human RNA-seq data with ScanExitron and ScanNeo |
title | Integrated protocol for exitron and exitron-derived neoantigen identification using human RNA-seq data with ScanExitron and ScanNeo |
title_full | Integrated protocol for exitron and exitron-derived neoantigen identification using human RNA-seq data with ScanExitron and ScanNeo |
title_fullStr | Integrated protocol for exitron and exitron-derived neoantigen identification using human RNA-seq data with ScanExitron and ScanNeo |
title_full_unstemmed | Integrated protocol for exitron and exitron-derived neoantigen identification using human RNA-seq data with ScanExitron and ScanNeo |
title_short | Integrated protocol for exitron and exitron-derived neoantigen identification using human RNA-seq data with ScanExitron and ScanNeo |
title_sort | integrated protocol for exitron and exitron-derived neoantigen identification using human rna-seq data with scanexitron and scanneo |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424586/ https://www.ncbi.nlm.nih.gov/pubmed/34522901 http://dx.doi.org/10.1016/j.xpro.2021.100788 |
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