MiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.
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Updated
Jul 10, 2024 - Kotlin
MiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.
Clustering of immune receptor repertoires
Standardise TR/MH data
Post-analysis of immune repertoire sequencing data
Evaluating SOTA biologically-informed neural networks (KPNN, PGNN, GNN, and MegaGNN) on scRNA-seq data for classification tasks
📚 Tools and databases for analyzing HLA and VDJ genes.
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.
🧬 Immunarch: an R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires
Sequence-based prediction of peptide-TCR interactions using paired chain data
A nextflow pipeline for TCR repertoire building with MiXCR
Prediction and characterization of T cell response by improved T cell receptors to antigen specificity with interpretable deep learning
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
Limitations of machine learning models for specificity prediction of T-cell receptor sequences
Adversarial autoencoders for MHCI epitope and immunogenicity prediction
MSc Bioinformatics with Systems Biology Dissertation
Statistical classifier for diagnosing ovarian cancer from immune repertoires
Suit of statistical procedures for robust quantification of various BCR and TCR repertoire properties
TCR Enrichment Analysis (TEA) Webtool
(Under development) Computational framework for probabilistic models of immune receptor assembling.
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