t-cell-receptor

There are 0 repository under t-cell-receptor topic.

milaboratory / mixcr
MiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.
bioinformatics immunology antibody t-cell-receptor t-cell rep-seq 10x rna-seq sequencing single-cell
Language:Kotlin 312
immunomind / immunarch
🧬 Immunarch: an R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires
immunology tcr tcr-repertoire immunoinformatics immune-repertoire rep-seq bcr-repertoire bcr ig ig-repertoire bioinformatics immune-repertoire-data immune-repertoire-analysis t-cell-receptor b-cell-receptor immunoglobulin repertoire-analysis airr-analysis single-cell single-cell-analysis
Language:R 291
awesome-vdj
slowkow / awesome-vdj
📚 Tools and databases for analyzing HLA and VDJ genes.
antibody awesome-list b-cell-receptor bcr bioinformatics hla hla-database hla-typing immunology t-cell-receptor tcr vdj
187
mikessh / vdjtools
Post-analysis of immune repertoire sequencing data
bioinformatics immunology repertoire t-cell stat antibody t-cell-receptor rep-seq
Language:Groovy 125
mikessh / migmap
HTS-compatible wrapper for IgBlast V-(D)-J mapping tool
bioinformatics ngs sequencing t-cell-receptor antibody immunology t-cell rep-seq
Language:Groovy 50
smangul1 / rop
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.
rna-seq-analysis t-cell-receptor circrna repeats alu immunoglobulin
Language:Shell 34
tanghaibao / Splithunter
Identify split reads in given chromosomal regions
structural-variation t-cell-receptor age machine-learning
Language:C++ 5
yutanagano / tidytcells
Standardise TR/MH data
bioinformatics data-cleaning immunoinformatics immunology standardization t-cell-receptor major-histocompatibility-complex mh mhc tcr tr bioinformatics-tool
Language:Python 4
mnielLab / NetTCR-2.2
Sequence-based prediction of peptide-TCR interactions using paired chain data
bioinformatics epitopes immunoinformatics immunology machine-learning t-cell-receptor
Language:Python 3
snaketron / ClustIRR
Clustering of immune receptor repertoires
b-cell-receptor clustering quantitative-methods repertoire-analysis t-cell-receptor bioinformatics immunoinformatics immunology rep-seq
Language:R 2
BioDataStudy / DeepTR
Prediction and characterization of T cell response by improved T cell receptors to antigen specificity with interpretable deep learning
deep-learning-algorithms immunity t-cell-receptor t-cell-response
Language:Python 1
bsml320 / DeepTR
Prediction and characterization of T cell response by improved T cell receptors to antigen specificity with interpretable deep learning
antigen deep-learning immunity t-cell-receptor t-cell-response
Language:Python 1
imminfo / ymir
(Under development) Computational framework for probabilistic models of immune receptor assembling.
bioinformatics immunoinformatics immunology probabilistic-models vdj-recombination t-cell-receptor immunoglobulin tcr ig statistical-immunoinformatics
Language:C++ 1
jostmey / MaxSnippetModelOvarian
Statistical classifier for diagnosing ovarian cancer from immune repertoires
cancer t-cell-receptor machine-learning multiple-instance-learning immune-repertoires
Language:Python 1
snaketron / IgStats
Suit of statistical procedures for robust quantification of various BCR and TCR repertoire properties
immune-repertoire immune-repertoire-analysis immunology immunoinformatics immunological-bioinformatics b-cell-receptor t-cell-receptor immune-rep
Language:R 1
vadimnazarov / tcr-specificity
T-cell receptor specificity prediction using Deep Learning
deep-learning immunology immunotherapy multi-omics t-cell-receptor
Language:Jupyter Notebook 1
ethanmclark1 / bioinformatics-sota-eval
Evaluating SOTA biologically-informed neural networks (KPNN, PGNN, GNN, and MegaGNN) on scRNA-seq data for classification tasks
bioinformatics deep-learning eval graph-neural-networks knowledge-primed pgnn pytorch sota t-cell-receptor tensorflow kpnn pathway-guided gnn scrna-seq
Language:Python 0
fractaljc / Dissertation
MSc Bioinformatics with Systems Biology Dissertation
epitope-prediction-methods machine-learning-algorithms mutations t-cell-receptor virus zoonotic-disease
Language:Python 0
sguizard / nf-mixcr
A nextflow pipeline for TCR repertoire building with MiXCR
bioinformatics-pipeline mixcr nextflow nextflow-pipeline t-cell-receptor
Language:Nextflow 0
eisascience / Wong-Gold-Lewinsohn
TCR Enrichment Analysis (TEA) Webtool
t-cell t-cell-receptor enrichment-analysis visualization bioinformatics r mait trav1-2 computational-biology
Language:R
vadimnazarov / adversarial-mhc
Adversarial autoencoders for MHCI epitope and immunogenicity prediction
deep-learning generative-model mhc multi-omics t-cell-receptor
Language:Jupyter Notebook
vadimnazarov / shade-repertoire
Limitations of machine learning models for specificity prediction of T-cell receptor sequences
immune-repertoire immunology t-cell-receptor
Language:Jupyter Notebook