airr

🧬 immunarch [R package] – Multi-Modal Immune Repertoire Analytics for Immunotherapy and Vaccine Design

A scanpy extension to analyse single-cell TCR and BCR data.

B-cell and T-cell Adaptive Immune Receptor Repertoire (AIRR) sequencing analysis pipeline using the Immcantation framework

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

🦠 List of publicly available datasets with single-cell (scRNAseq) and T-cell/antibody immune repertoire (AIRR / RepSeq / immunosequencing) data of COVID-19 patients with SARS-CoV-2.

An UMI-tagged sequencing swiss-knife. Built for amplicon sequencing of immune repertoires, ctDNA and rare mutations, single-cell sequencing.

Comparison of Adaptive Immune Receptor Repertoires

Decombinator: fast, error-correcting analysis of TCR repertoires

Python package to embed BCR and TCR sequences

Generation probability, diversity, and simulation for AIRR-seq TCR/BCR repertoires, from graph models of decomposed receptor sequences. Python, C-accelerated.

Imports your raw data — sequencing reads, count matrices, single-cell objects, tabular results — organizes it into named datasets, and attaches the sample metadata every downstream analysis groups and compares by

This script takes Airr Quotes and converts them to Markdown formatting to be used in note taking apps like Obsidian

🦋 immundata [R package] – A Unified Data Layer for Large-Scale Single-Cell, Spatial and Bulk Immunomics

Extract TCR and BCR clonotypes from raw sequencing data. Alignment against germline gene databases, error correction, receptor assembly, and clonotype grouping — turning FASTQ into a quantified repertoire with full QC.

T-cell receptor repertoire analysis figures for the manuscript: Intestinal macrophages modulate synucleinopathy along the gut–brain axis.

🤖 AIRR-GPT is your intelligent guide for working with bulk and single-cell Adaptive Immune Receptor Repertoire (AIRR) data using immunarch and immundata R packages

Explore and annotate your sequences interactively, lets you write rule-based annotations that tag sequences by any criteria you choose

LIgO is a tool for simulation of adaptive immune receptors and repertoires.

AIRR-ML-25: Adaptive Immune Profiling Challenge 2025（No. 52, 375 Participants , 290 Teams）- GPU-accelerated ML pipeline for immune repertoire classification and disease-associated sequence identification

A zero-dependency C++ wrapper for NCBI IgBLAST. Embeds IMGT databases and binaries into a single executable for standalone V(D)J assignment and enriched AIRR-formatted outputs.