Grouping T-Cell Antigen Receptors by Specificity

Chunlin Wang; Huang Huang; Mark M Davis

doi:10.1007/978-1-0716-2712-9_15

Grouping T-Cell Antigen Receptors by Specificity

Methods Mol Biol. 2022:2574:291-307. doi: 10.1007/978-1-0716-2712-9_15.

Authors

Chunlin Wang¹, Huang Huang², Mark M Davis^{2

3

4}

Affiliations

¹ Institute of Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA. chunlin@me.com.
² Institute of Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.
³ Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.
⁴ The Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA, USA.

Abstract

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.

Keywords: CDR3; Clustering; GLIPH; Specificity; TCR.

MeSH terms

Algorithms*
Receptors, Antigen, T-Cell* / genetics

Substances

Receptors, Antigen, T-Cell

Abstract

MeSH terms

Substances

Grants and funding