Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
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Updated
Sep 16, 2025 - Jupyter Notebook
Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
📚 Tools and databases for analyzing HLA and VDJ genes.
[DEPRECATED, see https://immunarch.com/] tcR: an R package for immune receptor repertoire advanced data analysis.
A user friendly RabbitMQ library written in Golang.
A Parity Substrate runtime implementation of a simple Token Curated Registry (TCR)
Curated list of awesome Token Curated Registry (TCR) resources.
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
Information and instructions for trying TCR workflow (test && commit || revert)
FrameDiPT: an SE(3) diffusion model for protein structure inpainting
code repository for Lagattuta et al. "Repertoire analyses reveal T cell receptor sequence features that influence T cell fate." Nat. Imm. (2022)
A react.js frontend for Substrate TCR runtime.
BASIC: BCR and TCR assembly from single cell RNA-seq
An ultra-sensitive and precise tool for characterizing T cell CDR3 sequences in TCR-seq and RNA-seq data.
Analysis functions for deep sequenced immune repertoire (Repseq) datasets in R
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