Accurate identification of immunogenic cancer epitopes remains a central challenge in immuno-oncology. The Cancer Epitope Database and Analysis Resource (CEDAR, cedar.iedb.org) was developed to provide comprehensive curation of experimentally validated epitopes and to foster development of prediction algorithms tailored to the cancer context. Recently, a suite of cancer-specific computational tools was released as part of the Next-Generation IEDB Tools platform (NGT, nextgen-tools.iedb.org/), enabling users to generate, evaluate, and prioritize candidate epitopes in a modular pipeline 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 key applications in cancer immunology and personalized immunotherapy by presenting practical use cases.
Carri et al. (2025) studied this question.