MiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.

[Deprecated, see https://github.com/antigenomics/mirpy and other tools @antigenomics] Post-analysis of immune repertoire sequencing data

📚 Tools and databases for analyzing HLA and VDJ genes.

HTS-compatible wrapper for IgBlast V-(D)-J mapping tool

The Read Origin Protocol (ROP) is a computational protocol that aims to discover the source of all reads, including those originating from repeat sequences, recombinant B and T cell receptors, and microbial communities.

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

Standardise TR/MH/IG data

(Under development) Computational framework for probabilistic models of immune receptor assembling.

Identify split reads in given chromosomal regions

Prediction and characterization of T cell response by improved T cell receptors to antigen specificity with interpretable deep learning

TCR Epitope Generation Model with Top-K Prediction

Limitations of machine learning models for specificity prediction of T-cell receptor sequences

TCR embedding expressivity evaluation framework.

Statistical classifier for diagnosing ovarian cancer from immune repertoires

MSc Bioinformatics with Systems Biology Dissertation

Adversarial autoencoders for MHCI epitope and immunogenicity prediction

Clustering of immune receptor repertoires

TCR Enrichment Analysis (TEA) Webtool

Prediction and characterization of T cell response by improved T cell receptors to antigen specificity with interpretable deep learning

A nextflow pipeline for TCR repertoire building with MiXCR