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.
Analysis of immune repertoire sequencing results
High-throughput mapping and domain partitioning of antigen receptor sequences
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.
Pipeline for harmonising immunological receptor–epitope interactions
Sequence-based prediction of peptide-TCR interactions using paired chain data
Standardise TR/MH/IG data
Clustering of immune receptor repertoires
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
T-cell receptor specificity prediction using Deep Learning
(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
Suit of statistical procedures for robust quantification of various BCR and TCR repertoire properties
TCR Epitope Generation Model with Top-K Prediction
Reproducible benchmark for unseen-epitope TCR-pMHC interaction prediction
MSc Bioinformatics with Systems Biology Dissertation
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