ClustIRR
Clustering of Immune Receptor Repertoires
Bioconductor version: 3.23 · Package version: 1.10.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("ClustIRR") Details
| Maintainer | Simo Kitanovski <simokitanovski@gmail.com> |
| Author | Simo Kitanovski [aut, cre] (ORCID: <https://orcid.org/0000-0003-2909-5376>), Kai Wollek [aut] (ORCID: <https://orcid.org/0009-0008-5941-9160>) |
| License | GPL-3 + file LICENSE |
| URL | https://github.com/snaketron/ClustIRR |
| Bug Reports | https://github.com/snaketron/ClustIRR/issues |
| System Requirements | GNU make, ncbi-blast+ |
| Downloads rank | 191 |
| Source branch | RELEASE_3_23 |
| biocViews | Bayesian, BiomedicalInformatics, Classification, Clustering, ImmunoOncology, MathematicalBiology, SingleCell, Software |
Documentation
- Decoding T- and B-cell receptor repertoires with ClustIRR
- Finding biological condition-specific changes in T- and B-cell receptor repertoires with ClustIRR
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Dependencies
Depends: R (>= 4.3.0)
Imports: grDevices, igraph, methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), reshape2, rstan (>= 2.18.1), rstantools (>= 2.4.0), stats, stringdist, utils, posterior, visNetwork, dplyr, tidyr, ggplot2, ggforce, scales, msa, Biostrings, RADanalysis, ggseqlogo, rBLAST
LinkingTo: 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)
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