Amz965 / TCR-BCR-seq-analysis

T/B cell receptor sequencing analysis notes

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T/BCR-seq-analysis

T/B cell receptor sequencing analysis notes

Please check awesome vdj too!

tutorials

papers

Tools

"Cool! I would start with immunarch, VDJTools, and the new scRepertoire package" -- Wʏᴀᴛᴛ MᴄDᴏɴɴᴇʟʟ from 10x genomcis

  • TRUST4 developed in Shirley Liu's group. Use it to extract TCR/BCR information from bulk RNAseq or 5' scRNAseq data.

  • We are happy to report a dramatic speedup for one of the core computations for adaptive immune receptor repertoire (AIRR) analysis - the discovery and counting of receptors that overlap between repertoires! Check out our CompAIRR. With 10^4 repertoires of 10^5 sequences each, CompAIRR ran in 17 minutes while the fastest existing tool took 10 days, amounting to a ~1000x speedup

  • ClusTCR: a Python interface for rapid clustering of large sets of CDR3 sequences with unknown antigen specificity

  • GLIPH2

  • GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation from Bo Li.

  • tcrdist3 is a python API-enabled toolkit for analyzing T-cell receptor repertoires

  • TCRex: a web tool for the prediction of TCR–epitope recognition

  • ImRex TCR-epitope recognition prediction using combined sequence input represention for convolutional neural networks.

  • NetTCR - 2.0 Sequence-based prediction of peptide-TCR binding

  • CellaRepertorium

  • enclone from 10x. we should give this a try if we want to cluster TCR and BCR clonotypes.

  • migec:A RepSeq processing swiss-knife.

  • MiXCR is a universal software for fast and accurate analysis of T- and B- cell receptor repertoire sequencing data.

  • tcR: an R package for T cell receptor repertoire advanced data analysis

  • ImReP is a computational method for rapid and accurate profiling of the adaptive immune repertoire from regular RNA-Seq data.

  • Grouping of Lymphocyte Interactions by Paratope Hotspots paper: https://www.nature.com/nature/journal/v547/n7661/full/nature22976.html

  • TcellMatch: Predicting T-cell to epitope specificity. cellMatch is a collection of models to predict antigen specificity of single T cells based on CDR3 sequences and other single cell modalities, such as RNA counts and surface protein counts

  • scirpy: A scanpy extension for single-cell TCR analysis.

  • Tessa is a Bayesian model to integrate T cell receptor (TCR) sequence profiling with transcriptomes of T cells. Enabled by the recently developed single cell sequencing techniques, which provide both TCR sequences and RNA sequences of each T cell concurrently, Tessa maps the functional landscape of the TCR repertoire, and generates insights into understanding human immune response to diseases.

  • DeepTCR Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data

  • Integrating T cell receptor sequences and transcriptional profiles by clonotype neighbor graph analysis (CoNGA)

database

  • The IPD-IMGT/HLA Database provides a specialist database for sequences of the human major histocompatibility complex (MHC) and includes the official sequences named by the WHO Nomenclature Committee For Factors of the HLA System. The IPD-IMGT/HLA Database is part of the international ImMunoGeneTics project (IMGT).

  • TCRdb A comprehensive database of human T-cell receptor (TCR) sequences

  • Immuno-Navigator A database for gene coexpression in the immune system

  • McPAS-TCR A manually curated catalogue of pathology associated T-cell receptor sequences

  • Vdjdb

  • @OPIGlets has built lots of lovely stuff including SAbPred, OAS, TAPhttp://opig.stats.ox.ac.uk/resources

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T/B cell receptor sequencing analysis notes

License:MIT License