t-cell-receptor

There are 22 repositories under t-cell-receptor topic.

  • milaboratory/mixcr

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

    Language:Kotlin3253296379
  • immunomind/immunarch

    🧬 Immunarch: an R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires

    Language:R3051430365
  • awesome-vdj

    slowkow/awesome-vdj

    📚 Tools and databases for analyzing HLA and VDJ genes.

  • mikessh/vdjtools

    Post-analysis of immune repertoire sequencing data

    Language:Groovy13022040
  • mikessh/migmap

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

    Language:Groovy5110020
  • 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:Shell3478614
  • mnielLab/NetTCR-2.2

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

    Language:Python6115
  • tanghaibao/Splithunter

    Identify split reads in given chromosomal regions

    Language:C++5201
  • yutanagano/tidytcells

    Standardise TR/MH data

    Language:Python41122
  • snaketron/ClustIRR

    Clustering of immune receptor repertoires

    Language:R22350
  • BioDataStudy/DeepTR

    Prediction and characterization of T cell response by improved T cell receptors to antigen specificity with interpretable deep learning

    Language:Python1100
  • bsml320/DeepTR

    Prediction and characterization of T cell response by improved T cell receptors to antigen specificity with interpretable deep learning

    Language:Python110
  • imminfo/ymir

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

    Language:C++1621
  • jostmey/MaxSnippetModelOvarian

    Statistical classifier for diagnosing ovarian cancer from immune repertoires

    Language:Python131
  • snaketron/IgStats

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

    Language:R1300
  • vadimnazarov/tcr-specificity

    T-cell receptor specificity prediction using Deep Learning

    Language:Jupyter Notebook1100
  • ethanmclark1/bioinformatics-sota-eval

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

    Language:Python0210
  • fractaljc/Dissertation

    MSc Bioinformatics with Systems Biology Dissertation

    Language:Python0100
  • sguizard/nf-mixcr

    A nextflow pipeline for TCR repertoire building with MiXCR

    Language:Nextflow0100
  • eisascience/Wong-Gold-Lewinsohn

    TCR Enrichment Analysis (TEA) Webtool

    Language:R00
  • vadimnazarov/adversarial-mhc

    Adversarial autoencoders for MHCI epitope and immunogenicity prediction

    Language:Jupyter Notebook10
  • vadimnazarov/shade-repertoire

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

    Language:Jupyter Notebook10