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Ibex

Methods for BCR single-cell embedding

Bioconductor version: 3.24 · Package version: 1.3.1

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

Implementation of the Ibex algorithm for single-cell embedding based on BCR sequences. The package includes a standalone function to encode BCR sequence information by amino acid properties or sequence order using tensorflow-based autoencoder. In addition, the package interacts with SingleCellExperiment or Seurat data objects.

DOI: 10.18129/B9.bioc.Ibex

Installation

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

BiocManager::install("Ibex")

Details

MaintainerNick Borcherding <ncborch@gmail.com>
AuthorNick Borcherding [aut, cre, cph], Qile Yang [ctb] (ORCID: <https://orcid.org/0009-0005-0148-2499>)
LicenseMIT + file LICENSE
URLhttps://github.com/BorchLab/Ibex/
Bug Reportshttps://github.com/BorchLab/Ibex/issues
System RequirementsPython (via basilisk)
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsAnnotation, Classification, ImmunoOncology, Sequencing, SingleCell, Software
Package Short Url https://bioconductor.org/packages/Ibex/

Citation

From within R, enter citation("Ibex"):

Nick Borcherding. Ibex: Methods for BCR single-cell embedding. doi:10.18129/B9.bioc.Ibex, R package version 1.3.1, https://bioconductor.org/packages/Ibex.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageIbex_1.3.1.tar.gz
macOS binary (arm64)Ibex_1.3.1.tgz
macOS binary (x86_64)Ibex_1.3.1.tgz
Dependencies

Depends: R (>= 4.5.0)

Imports: basilisk, immApex (>= 1.3.2), methods, Matrix, reticulate (>= 1.43.0), SeuratObject, scRepertoire, SingleCellExperiment, stats, SummarizedExperiment, tensorflow, tools

Suggests: basilisk.utils, BiocStyle, bluster, dplyr, ggplot2, kableExtra, knitr, lifecycle, markdown, mumosa, patchwork, Peptides, rmarkdown, scater, spelling, testthat (>= 3.0.0), utils, viridis