tcr

📚 Tools and databases for analyzing HLA and VDJ genes.

Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data

A user friendly RabbitMQ library written in Golang.

immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.

Curated list of awesome Token Curated Registry (TCR) resources.

Stitchr - a Python script to stitch together coding TCR nucleotide sequences from V, J, and CDR3 info

Large language modeling applied to T-cell receptor (TCR) sequences.

FrameDiPT: an SE(3) diffusion model for protein structure inpainting

TEIM: TCR-Epitope Interaction Modeling

Accurate Typing of Diverse Immune-Related Gene Families from Long-Read Sequencing Data. It can handle HLA, KIR, IG, TCR, CYP gene families. It supports both WGS and amplicon data. It supports PacBio and Nanopore data.

A Parity Substrate runtime implementation of a simple Token Curated Registry (TCR)

Information and instructions for trying TCR workflow (test && commit || revert)

[DEPRECATED, see https://immunarch.com/] tcR: an R package for immune receptor repertoire advanced data analysis.

Predicting TCR:pMHC binding from structural data

Line Bot TCR

Code for "Attentive Variational Information Bottleneck for TCR-peptide Interaction Prediction", Grazioli et al., Bioinformatics 2022

An ultra-sensitive and precise tool for characterizing T cell CDR3 sequences in TCR-seq and RNA-seq data.

Highly informative TCR representation model

Standardise TR/MH/IG data

code repository for Lagattuta et al. "Repertoire analyses reveal T cell receptor sequence features that influence T cell fate." Nat. Imm. (2022)