Computational Methods for Identification of T Cell Neoepitopes in Tumors

Vanessa Isabell Jurtz, Lars Rønn Olsen

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review


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
Publication date2019
ISBN (Print)978-1-4939-8866-2
ISBN (Electronic)978-1-4939-8868-6
Publication statusPublished - 2019
SeriesMethods in Molecular Biology


  • Cancer immunotherapy
  • Epitope prediction
  • Next-generation sequencing
  • Nonsynonymous mutations


Dive into the research topics of 'Computational Methods for Identification of T Cell Neoepitopes in Tumors'. Together they form a unique fingerprint.

Cite this