CDR3 clustering module providing a new method for fast and accurate clustering of large data sets of CDR3 amino acid sequences, and offering functionalities for downstream analysis of clustering results.
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Updated
Apr 3, 2024 - Python
CDR3 clustering module providing a new method for fast and accurate clustering of large data sets of CDR3 amino acid sequences, and offering functionalities for downstream analysis of clustering results.
Statistical classifier for immune repertoires
[DEPRECATED, see https://immunarch.com/] tcR: an R package for immune receptor repertoire advanced data analysis.
An R package to analyze single-cell V(D)J data
Comparison of Adaptive Immune Receptor Repertoires
Cell-Centric View of Tissue Transcriptome Measuring Cellular Compositions of Immune Microenvironment From Mouse RNA-Seq Data.
🐶 hlabud: HLA genotype analysis in R
PepTools - An Immunoinformatics (Immunological Bioinformatics) R-package for working with peptide data
WES HLA Typing based on multiple alternative tools
Highly informative TCR representation model
Fast string distance computation in Python
Sequence-based prediction of peptide-TCR interactions using paired chain data
Standardise TR/MH/IG data
Accompanying Repository to TCR-TRANSLATE paper.
A machine learning based method for predicting, scanning and mapping allergenic regions in an allergen
Bayesian inference of Activation of TCR by Mutant Antigens
Fast trie-based search for TCR sequences with Levenshtein and substitution matrix support
ESMDesign uses ESM-IF1 for the design of fragments within multichain proteins
Generation probability, diversity, and simulation for AIRR-seq TCR/BCR repertoires, from graph models of decomposed receptor sequences. Python, C-accelerated.
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