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TSNAD and TSNAdb: The Useful Toolkit for Clinical Application of Tumor-Specific Neoantigens.
Wu, Jingcheng; Zhou, Zhan.
Afiliação
  • Wu J; 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.
  • Zhou Z; 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. zhanzhou@zju.edu.cn.
Methods Mol Biol ; 2673: 167-174, 2023.
Article em En | MEDLINE | ID: mdl-37258913
ABSTRACT
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 .
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Antígenos de Neoplasias / Neoplasias Limite: Humans Idioma: En Revista: Methods Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Antígenos de Neoplasias / Neoplasias Limite: Humans Idioma: En Revista: Methods Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China