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
Highly informative TCR representation model
WES HLA Typing based on multiple alternative tools
Fast string distance computation in Python
Sequence-based prediction of peptide-TCR interactions using paired chain data
Standardise TR/MH/IG data
Accompanying Repository to TCR-TRANSLATE paper.
Alignment-free graph models of TCR and BCR repertoires built from Lempel-Ziv and FlashBack string decompositions. Compute sequence generation probability (Pgen) and repertoire diversity, and generate new sequences. Python with a C core.
Bayesian inference of Activation of TCR by Mutant Antigens
ESMDesign uses ESM-IF1 for the design of fragments within multichain proteins
An ensemble method for predicting linear and conformational B-cell epitope
Prediction of interferon-gamma inducing peptides using alignment-based and alignment-free methods
Bayesian inference of Activation of TCR by Mutant Antigens
A pythonic library for analysing immunopeptidomic experiments
Python SDK for Immune Epitope Database (IEDB) Analysis Tools API
SwifTCR is a computational tool for 3D modeling of the interactions between T-cell receptors (TCRs) and peptide–MHC (pMHC) complexes
JAX/Flax port of AbLang2's AbRep encoder: differentiable antibody language-model embeddings and per-block attention, loading the original weights unchanged.
Deep-learning V(D)J aligner for BCR and TCR sequences. A single model predicts V/D/J allele calls, segment boundaries and the junction, with AIRR-format output. Published in Nucleic Acids Research (2025).
Machine learning based method for predicting and scanning IL-5 inducing petides
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