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Protocol for fast clonal family inference and analysis from large-scale B cell receptor repertoire sequencing data.
Wang, Kaixuan; Cai, Linru; Wang, Hao; Shan, Shiwen; Hu, Xihao; Zhang, Jian.
Afiliação
  • Wang K; Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
  • Cai L; Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
  • Wang H; Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China; Georgia Tech Shenzhen Institute (GTSI), Tianjin University, Shenzhen, Guangdong, China.
  • Shan S; Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
  • Hu X; GV20 Therapeutics, Cambridge, MA, USA.
  • Zhang J; Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China. Electronic address: jian_zhang@tju.edu.cn.
STAR Protoc ; 5(2): 102969, 2024 Jun 21.
Article em En | MEDLINE | ID: mdl-38502687
ABSTRACT
The expeditious identification and comprehensive analysis of clonal families from extensive B cell receptor (BCR) repertoire sequencing data are imperative for elucidating the intricacies of B cell immune responses. Here, we introduce a computational pipeline designed to swiftly deduce clonal families from bulk BCR heavy-chain sequencing data, accompanied by a suite of functional modules tailored to streamline post-clustering analysis. The outlined methodology encompasses guidelines for software installation, meticulous data preparation, and the systematic inference and analysis of clonal families. For complete details on the use and execution of this protocol, please refer to Wang et al.1.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article