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GitHub topics: t-cell-receptor

slowkow/awesome-vdj

📚 Tools and databases for analyzing HLA and VDJ genes.

Size: 575 KB - Last synced at: 3 days ago - Pushed at: 14 days ago - Stars: 221 - Forks: 30

milaboratory/mixcr

MiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.

Language: Kotlin - Size: 47.1 MB - Last synced at: about 20 hours ago - Pushed at: about 21 hours ago - Stars: 351 - Forks: 80

immunomind/immunarch

🧬 immunarch [R package] – Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires

Language: R - Size: 425 MB - Last synced at: 15 days ago - Pushed at: about 1 year ago - Stars: 318 - Forks: 69

snaketron/ClustIRR

Clustering of immune receptor repertoires

Language: R - Size: 42.8 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 2 - Forks: 0

yutanagano/tidytcells

Standardise TR/MH data

Language: Python - Size: 40.3 MB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 8 - Forks: 2

sguizard/nf-mixcr

A nextflow pipeline for TCR repertoire building with MiXCR

Language: Nextflow - Size: 7.01 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ethanmclark1/bioinformatics-sota-eval

Evaluating SOTA biologically-informed neural networks (KPNN, PGNN, and GNN) on scRNA-seq data for classification tasks

Language: Python - Size: 89.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

mikessh/vdjtools

Post-analysis of immune repertoire sequencing data

Language: Groovy - Size: 31.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 126 - Forks: 40

mnielLab/NetTCR-2.2

Sequence-based prediction of peptide-TCR interactions using paired chain data

Language: Python - Size: 562 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 2

eisascience/Wong-Gold-Lewinsohn

TCR Enrichment Analysis (TEA) Webtool

Language: R - Size: 826 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

mikessh/migmap

HTS-compatible wrapper for IgBlast V-(D)-J mapping tool

Language: Groovy - Size: 14.6 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 49 - Forks: 20

vadimnazarov/shade-repertoire

Limitations of machine learning models for specificity prediction of T-cell receptor sequences

Language: Jupyter Notebook - Size: 130 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

vadimnazarov/adversarial-mhc

Adversarial autoencoders for MHCI epitope and immunogenicity prediction

Language: Jupyter Notebook - Size: 51.2 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

imminfo/ymir

(Under development) Computational framework for probabilistic models of immune receptor assembling.

Language: C++ - Size: 2.62 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1

snaketron/IgStats

Suit of statistical procedures for robust quantification of various BCR and TCR repertoire properties

Language: R - Size: 6.65 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

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.

Language: Shell - Size: 358 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 34 - Forks: 14

vadimnazarov/tcr-specificity

T-cell receptor specificity prediction using Deep Learning

Language: Jupyter Notebook - Size: 5.87 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

tanghaibao/Splithunter

Identify split reads in given chromosomal regions

Language: C++ - Size: 32.6 MB - Last synced at: 29 days ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 1

jostmey/MaxSnippetModelOvarian

Statistical classifier for diagnosing ovarian cancer from immune repertoires

Language: Python - Size: 4.2 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0