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

📚 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

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

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.

T-cell receptor specificity prediction using 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

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

MSc Bioinformatics with Systems Biology Dissertation

Adversarial autoencoders for MHCI epitope and immunogenicity prediction

Benchmarking modern neural networks for scRNA sequencing analysis