🧬 Immunarch: an R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires

CDR3 clustering module providing a new method for fast and accurate clustering of large data sets of CDR3 amino acid sequences, and offering functionalities for downstream analysis of clustering results.

Statistical classifier for immune repertoires

🦠 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.

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

Comparison of Adaptive Immune Receptor Repertoires

An R package to analyze single-cell V(D)J data

Cell-Centric View of Tissue Transcriptome Measuring Cellular Compositions of Immune Microenvironment From Mouse RNA-Seq Data.

PepTools - An Immunoinformatics (Immunological Bioinformatics) R-package for working with peptide data

🐶 hlabud: HLA genotype analysis in R

Fast string distance computation in Python

WES HLA Typing based on multiple alternative tools

Incredible Deep Learning in immunooncology with Pytorch - workshop at AIRR Community Meeting IV

Simple Contrastive Embedding of the Primary sequence of T cell Receptors

Comparison of gene usage in immune repertoires under different biological conditions

Sequence-based prediction of peptide-TCR interactions using paired chain data

A machine learning based method for predicting, scanning and mapping allergenic regions in an allergen

LZ76 Graphs and Applications in Immunology

A pythonic library for analysing immunopeptidomic experiments