Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub topics: t-cell-receptor
immunomind/immunarch
🧬 Immunarch: an R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires
Language: R - Size: 425 MB - Last synced: 8 days ago - Pushed: about 2 months ago - Stars: 291 - Forks: 64
slowkow/awesome-vdj
📚 Tools and databases for analyzing HLA and VDJ genes.
Size: 506 KB - Last synced: 19 days ago - Pushed: 20 days ago - Stars: 187 - Forks: 21
yutanagano/tidytcells
Standardise TR/MH data
Language: Python - Size: 40.3 MB - Last synced: 29 days ago - Pushed: about 1 month ago - Stars: 4 - Forks: 2
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: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0
snaketron/ClustIRR
Clustering of immune receptor repertoires
Language: R - Size: 39.2 MB - Last synced: 11 days ago - Pushed: about 1 month ago - Stars: 2 - Forks: 0
mikessh/vdjtools
Post-analysis of immune repertoire sequencing data
Language: Groovy - Size: 31.6 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 126 - Forks: 40
ethanmclark1/kpnn
Knowledge-Primed Neural Network (KPNN) is a deep learning model designed to predict T-cell receptor (TCR) signaling using gene expression data. By leveraging domain knowledge in the form of a gene hierarchy, KPNN constructs a computational graph that mirrors the biological network, enabling interpretable results and improved accuracy.
Language: Python - Size: 89.9 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0
mnielLab/NetTCR-2.2
Sequence-based prediction of peptide-TCR interactions using paired chain data
Language: Python - Size: 562 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 3 - Forks: 2
sguizard/nf-mixcr
A nextflow pipeline for TCR repertoire building with MiXCR
Language: Nextflow - Size: 7 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0
milaboratory/mixcr
MiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.
Language: Kotlin - Size: 46.1 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 290 - Forks: 81
eisascience/Wong-Gold-Lewinsohn
TCR Enrichment Analysis (TEA) Webtool
Language: R - Size: 826 KB - Last synced: 7 months ago - Pushed: about 5 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: 7 months ago - Pushed: about 6 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: 10 months ago - Pushed: about 1 year 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: 10 months ago - Pushed: about 1 year 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: 10 months ago - Pushed: almost 6 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: 10 months ago - Pushed: over 4 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: about 1 month ago - Pushed: about 1 month 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: 10 months ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0
tanghaibao/Splithunter
Identify split reads in given chromosomal regions
Language: C++ - Size: 32.6 MB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 6 - Forks: 1
jostmey/MaxSnippetModelOvarian
Statistical classifier for diagnosing ovarian cancer from immune repertoires
Language: Python - Size: 4.2 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0
