MiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.
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Updated
Sep 27, 2024 - Kotlin
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
Post-analysis of immune repertoire sequencing data
📚 Tools and databases for analyzing HLA and VDJ genes.
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
(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
Statistical classifier for diagnosing ovarian cancer from immune repertoires
MSc Bioinformatics with Systems Biology Dissertation
Adversarial autoencoders for MHCI epitope and immunogenicity prediction
Clustering of immune receptor repertoires
Suit of statistical procedures for robust quantification of various BCR and TCR repertoire properties
TCR Enrichment Analysis (TEA) Webtool
Prediction and characterization of T cell response by improved T cell receptors to antigen specificity with interpretable deep learning
A nextflow pipeline for TCR repertoire building with MiXCR
Evaluating SOTA biologically-informed neural networks (KPNN, PGNN, GNN, and MegaGNN) on scRNA-seq data for classification tasks
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