Cancer epitope prediction tools and analysis pipelines in CEDAR

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Authors: Ibel Carri, Jason Greenbaum, Zhen Yan, Kevin Kim, Haeuk Kim, Ashmitaa Logandha Ramamoorthy Premlal, Daniel Marrama, Nina Blazeska, Hannah K. Carter, Ko-Han Lee, Timothy Sears, Morten Nielsen
+3 more Alessandro Sette, Bjoern Peters, Zeynep Koşaloğlu‐Yalçın
Cited by: 1
References: 61

Abstract

Accurate identification of immunogenic cancer epitopes remains a central challenge in immuno-oncology. The Cancer Epitope Database and Analysis Resource (CEDAR, https://cedar.iedb.org/) was developed to provide comprehensive curation of experimentally validated epitopes and to foster the development of computational tools tailored to the cancer context. Recently, we released a suite of cancer-specific tools and analysis pipelines as part of the https://nextgen-tools.iedb.org/ platform, enabling users to generate, evaluate, and prioritize candidate T cell epitopes in a modular framework. Here, we present the design and functionality of these tools, describe their core methodologies, provide guidance for their use, and illustrate how they can be integrated into end-to-end pipelines. We highlight applications in cancer immunology and personalized immunotherapy by presenting practical use cases.

Fields of Study & Subjects

vaccines and immunoinformatics approaches Cancer Immunotherapy and Biomarkers Immunotherapy and Immune Responses

Publication details

Journal / source
Nucleic Acids Research
Publisher
Oxford University Press (OUP)
Volume
54
Issue
W1
Pages
W13–W21
Publication date
1 May 2026
Language
EN