An ultra-sensitive T-cell receptor detection method for TCR-Seq and RNA-Seq data | Zendy

SiYi Chen | Zendy; Chunjie Liu | Zendy; Qiong Zhang | Zendy; AnYuan Guo | Zendy

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An ultra-sensitive T-cell receptor detection method for TCR-Seq and RNA-Seq data

Author(s) -

SiYi Chen,

Chunjie Liu,

Qiong Zhang,

AnYuan Guo

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa432

Subject(s) - de bruijn graph , t cell receptor , in silico , computational biology , computer science , complementarity determining region , t cell , algorithm , graph , biology , gene , theoretical computer science , genetics , immune system , peptide sequence

T-cell receptors (TCRs) function to recognize antigens and play vital roles in T-cell immunology. Surveying TCR repertoires by characterizing complementarity-determining region 3 (CDR3) is a key issue. Due to the high diversity of CDR3 and technological limitation, accurate characterization of CDR3 repertoires remains a great challenge.

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