Innovative Institute for Artificial Intelligence in Medicine and Zhejiang Provincial Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, China.
Methods Mol Biol. 2023;2673:167-174. doi: 10.1007/978-1-0716-3239-0_11.
Tumor-specific neoantigens play important roles in tumor immunotherapy. How to predict neoantigens accurately and efficiently has attracted much attention. TSNAD is the first one-stop neoantigen prediction tool from next-generation sequencing data, and TSNAdb provides both predicted and validated neoantigens based on pan-cancer immunogenomics analyses. In this chapter, we describe the usage of TSNAD and TSNAdb for the clinical application of neoantigens. The latest version of TSNAD is available at https://pgx.zju.edu.cn/tsnad , and the latest version of TSNAdb is available at https://pgx.zju.edu.cn/tsnadb .
肿瘤特异性新抗原在肿瘤免疫治疗中发挥着重要作用。如何准确有效地预测新抗原引起了广泛关注。TSNAD 是第一个基于下一代测序数据的一站式新抗原预测工具,TSNAdb 基于泛癌免疫基因组学分析提供了预测和验证的新抗原。在本章中,我们将描述 TSNAD 和 TSNAdb 在新抗原临床应用中的使用方法。TSNAD 的最新版本可在 https://pgx.zju.edu.cn/tsnad 获得,TSNAdb 的最新版本可在 https://pgx.zju.edu.cn/tsnadb 获得。