TY - CHAP
T1 - Computational Methods for Identification of T Cell Neoepitopes in Tumors
AU - Jurtz, Vanessa Isabell
AU - Olsen, Lars Rønn
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Cancer immunotherapy
KW - Epitope prediction
KW - Next-generation sequencing
KW - Nonsynonymous mutations
U2 - 10.1007/978-1-4939-8868-6_9
DO - 10.1007/978-1-4939-8868-6_9
M3 - Book chapter
C2 - 30378075
SN - 978-1-4939-8866-2
VL - 1878
T3 - Methods in Molecular Biology
SP - 157
EP - 172
BT - Cancer Bioinformatics
PB - Springer
ER -
