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.

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

Identify split reads in given chromosomal regions

Standardise TR/MH data

Clustering of immune receptor repertoires

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

Statistical classifier for diagnosing ovarian cancer from immune repertoires

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

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

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

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

A nextflow pipeline for TCR repertoire building with MiXCR