About this book
This volume focuses on a variety of in silico protocols of the latest bioinformatics tools and computational pipelines developed for neo-antigen identification and immune cell analysis from high-throughput sequencing data for cancer immunotherapy. The chapters in this book cover topics that discuss the two emerging concepts in recognition of tumor cells using endogenous T cells: cancer vaccines against neo-antigens presented on HLA class I and II alleles, and checkpoint inhibitors. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Cutting-edge and authoritative, Bioinformatics for Cancer Immunotherapy: Methods and Protocols is a valuable research tool for any scientist and researcher interested in learning more about this exciting and developing field.
Mutation detection VarScan 2 multiSNV SomaticSeq ExScalibur VariantMetaCaller MHC Binding Affinity Prediction HLA class CD8+ Epitopes
Editors and affiliations
- DOI http://doi.org/10.1007/978-1-0716-0327-7
- Copyright Information Springer Science+Business Media, LLC, part of Springer Nature 2020
- Publisher Name Humana, New York, NY
- eBook Packages Springer Protocols
- Print ISBN 978-1-0716-0326-0
- Online ISBN 978-1-0716-0327-7
- Series Print ISSN 1064-3745
- Series Online ISSN 1940-6029
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