📚 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.
Curated list of awesome Token Curated Registry (TCR) resources.
immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
FrameDiPT: an SE(3) diffusion model for protein structure inpainting
Large language modeling applied to T-cell receptor (TCR) sequences.
Stitchr - a Python script to stitch together coding TCR nucleotide sequences from V, J, and CDR3 info
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.
Code for "Attentive Variational Information Bottleneck for TCR-peptide Interaction Prediction", Grazioli et al., Bioinformatics 2022
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.
An ultra-sensitive and precise tool for characterizing T cell CDR3 sequences in TCR-seq and RNA-seq data.
A react.js frontend for Substrate TCR runtime.
code repository for Lagattuta et al. "Repertoire analyses reveal T cell receptor sequence features that influence T cell fate." Nat. Imm. (2022)
Highly informative TCR representation model
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