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

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

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

🦠 Regularly updated 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.

Comparison of Adaptive Immune Receptor Repertoires

Python package to embed BCR and TCR sequences

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

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

🤖 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

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 tool that allows comparison of real and simulated AIRR datasets by providing different statistical indicators and dataset visualizations in one report.

Minimal immune repertoire analysis pipeline using Change-O data to calculate clone diversity metrics (Shannon, Simpson) and visualize B-cell clonal distributions. Built in R.

A tool for simulation of antigen-experienced adaptive immune receptor repertoire (AIRR) datasets for benchmarking of machine learning (ML) methods.

Data source tool for connecting a Galaxy instance to the immunological data bank iReceptor Plus Gateway.