Identify split reads in given chromosomal regions
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Updated
Oct 29, 2017 - C++
Identify split reads in given chromosomal regions
HTS-compatible wrapper for IgBlast V-(D)-J mapping tool
(Under development) Computational framework for probabilistic models of immune receptor assembling.
TCR Enrichment Analysis (TEA) Webtool
Suit of statistical procedures for robust quantification of various BCR and TCR repertoire properties
Statistical classifier for diagnosing ovarian cancer from immune repertoires
MSc Bioinformatics with Systems Biology Dissertation
Adversarial autoencoders for MHCI epitope and immunogenicity prediction
Limitations of machine learning models for specificity prediction of T-cell receptor sequences
T-cell receptor specificity prediction using Deep Learning
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
A nextflow pipeline for TCR repertoire building with MiXCR
Sequence-based prediction of peptide-TCR interactions using paired chain data
🧬 Immunarch: an R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires
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.
📚 Tools and databases for analyzing HLA and VDJ genes.
Evaluating SOTA biologically-informed neural networks (KPNN, PGNN, GNN, and MegaGNN) on scRNA-seq data for classification tasks
Post-analysis of immune repertoire sequencing data
Standardise TR/MH data
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