Institute of Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.
Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.
Methods Mol Biol. 2022;2574:291-307. doi: 10.1007/978-1-0716-2712-9_15.
Grouping TCRs on the similarity of CDR3 sequences could effectively cluster them by specificity. Three versions of the GLIPH algorithm are described briefly here, with instructions to use GLIPH algorithms to cluster TCRs by specificity.
根据 CDR3 序列的相似性对 TCR 进行分组可以有效地根据特异性对其进行聚类。这里简要描述了三种版本的 GLIPH 算法，并提供了使用 GLIPH 算法根据特异性对 TCR 进行聚类的说明。
