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

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

📚 Tools and databases for analyzing HLA and VDJ genes.

[REPLACED by https://github.com/antigenomics/mirpy] Post-analysis of immune repertoire sequencing data

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 data

Identify split reads in given chromosomal regions

Clustering of immune receptor repertoires

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

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

TCR embedding expressivity evaluation framework.

Statistical classifier for diagnosing ovarian cancer from immune repertoires

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

Suit of statistical procedures for robust quantification of various BCR and TCR repertoire properties

T-cell receptor specificity prediction using Deep Learning

MSc Bioinformatics with Systems Biology Dissertation

Adversarial autoencoders for MHCI epitope and immunogenicity prediction

TCR Enrichment Analysis (TEA) Webtool