Computational Methods for Identification of T Cell Neoepitopes in Tumors

Research output: Chapter in Book/Report/Conference proceedingBook chapter – Annual report year: 2019Researchpeer-review

View graph of relations

Cancer immunotherapy has experienced several major breakthroughs in the past decade. Most recently, technical advances in next-generation sequencing methods have enabled discovery of tumor-specific mutations leading to protective T cell neoepitopes. Many of the successes are enabled by computational methods, which facilitate processing of raw data, mapping of mutations, and prediction of neoepitopes. In this book chapter, we provide an overview of the computational tasks related to the identification of neoepitopes, propose specific tools and best practices, and discuss strengths, weaknesses, and future challenges.
Original languageEnglish
Title of host publicationCancer Bioinformatics
Volume1878
PublisherSpringer
Publication date2019
Pages157-172
ISBN (Print)978-1-4939-8866-2
ISBN (Electronic)978-1-4939-8868-6
DOIs
Publication statusPublished - 2019
SeriesMethods in Molecular Biology
ISSN1064-3745
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Cancer immunotherapy, Epitope prediction, Next-generation sequencing, Nonsynonymous mutations
Download as:
Download as PDF
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
Word

ID: 159150746