ClustIRR

Clustering of immune receptor repertoires


Bioconductor version: Release (3.20)

ClustIRR analyzes repertoires of B- and T-cell receptors. It starts by identifying communities of immune receptors with similar specificities, based on the sequences of their complementarity-determining regions (CDRs). Next, it employs a Bayesian probabilistic models to quantify differential community occupancy (DCO) between repertoires, allowing the identification of expanding or contracting communities in response to e.g. infection or cancer treatment.

Author: Simo Kitanovski [aut, cre] , Kai Wollek [aut]

Maintainer: Simo Kitanovski <simokitanovski at gmail.com>

Citation (from within R, enter citation("ClustIRR")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ClustIRR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ClustIRR")
Analysis of T and B cell receptor repertoires with ClustIRR HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Classification, Clustering, ImmunoOncology, SingleCell, Software
Version 1.4.0
In Bioconductor since BioC 3.18 (R-4.3) (1 year)
License GPL-3 + file LICENSE
Depends R (>= 4.4.0)
Imports blaster, future, future.apply, grDevices, igraph, methods, pwalign, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), reshape2, rstan (>= 2.18.1), rstantools (>= 2.4.0), stats, stringdist, utils, visNetwork
System Requirements GNU make
URL https://github.com/snaketron/ClustIRR
Bug Reports https://github.com/snaketron/ClustIRR/issues
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Suggests BiocStyle, knitr, testthat, ggplot2, ggrepel, patchwork
Linking To BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
Enhances
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package ClustIRR_1.4.0.tar.gz
Windows Binary (x86_64) ClustIRR_1.4.0.zip
macOS Binary (x86_64) ClustIRR_1.4.0.tgz
macOS Binary (arm64) ClustIRR_1.3.44.tgz
Source Repository git clone https://git.bioconductor.org/packages/ClustIRR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ClustIRR
Bioc Package Browser https://code.bioconductor.org/browse/ClustIRR/
Package Short Url https://bioconductor.org/packages/ClustIRR/
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