TCR-L: an analysis tool for evaluating the association between the T-cell receptor repertoire and clinical phenotypes

被引:0
作者
Meiling Liu
Juna Goo
Yang Liu
Wei Sun
Michael C. Wu
Li Hsu
Qianchuan He
机构
[1] Fred Hutchinson Cancer Research Center,Public Health Sciences Division
[2] Boise State University,Department of Mathematics
[3] Wright State University,Department of Mathematics and Statistics
来源
BMC Bioinformatics | / 23卷
关键词
Association test; CDR3; Clinical phenotypes; T cell receptors; TCR homology; TCR repertoire;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 150 条
[1]  
Farmanbar A(2019)RNA sequencing identifies clonal structure of T-cell repertoires in patients with adult T-cell leukemia/lymphoma NPJ Genom Med 4 1-9
[2]  
Kneller R(2018)The role of molecular flexibility in antigen presentation and T cell receptor-mediated signaling Front Immunol 9 1657-654
[3]  
Firouzi S(2018)Single cell T cell receptor sequencing: techniques and future challenges Front Immunol 9 1638-814
[4]  
Natarajan K(2020)The diagnostic, prognostic, and therapeutic potential of adaptive immune receptor repertoire profiling in cancer Can Res 80 643-98
[5]  
Jiang J(2013)MiTCR: software for T-cell receptor sequencing data analysis Nat Methods 10 813-93
[6]  
May NA(2017)Identifying specificity groups in the T cell receptor repertoire Nature 547 94-162
[7]  
Mage MG(2017)Quantifiable predictive features define epitope-specific T cell receptor repertoires Nature 547 89-630
[8]  
Boyd LF(2018)ImmunoMap: a bioinformatics tool for T-cell repertoire analysis Cancer Immunol Res 6 151-591
[9]  
McShan AC(2021)TCRMatch: predicting T-cell receptor specificity based on sequence similarity to previously characterized receptors Front Immunol 12 673-344
[10]  
Sgourakis NG(2021)TRUST4: immune repertoire reconstruction from bulk and single-cell RNA-seq data Nat Methods 18 627-830