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Ibex

This is the development version of Ibex; for the stable release version, see Ibex.

Methods for BCR single-cell embedding


Bioconductor version: Development (3.24)

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.

Author: Nick Borcherding [aut, cre, cph], Qile Yang [ctb] ORCID iD ORCID: 0009-0005-0148-2499

Maintainer: Nick Borcherding <ncborch at gmail.com>

Citation (from within R, enter citation("Ibex")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("Ibex")

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("Ibex")
Charging through Ibex HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Annotation, Classification, ImmunoOncology, Sequencing, SingleCell, Software
Version 1.3.1
In Bioconductor since BioC 3.22 (R-4.5) (1 year)
License MIT + file LICENSE
Depends R (>= 4.5.0)
Imports basilisk, immApex(>= 1.3.2), methods, Matrix, reticulate (>= 1.43.0), SeuratObject, scRepertoire, SingleCellExperiment, stats, SummarizedExperiment, tensorflow, tools
System Requirements Python (via basilisk)
URL https://github.com/BorchLab/Ibex/
Bug Reports https://github.com/BorchLab/Ibex/issues
See More
Suggests basilisk.utils, BiocStyle, bluster, dplyr, ggplot2, kableExtra, knitr, lifecycle, markdown, mumosa, patchwork, Peptides, rmarkdown, scater, spelling, testthat (>= 3.0.0), utils, viridis
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Package Archives

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

Source Package Ibex_1.3.1.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64) Ibex_1.3.1.tgz
macOS Binary (sonoma-arm64) Ibex_1.3.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/Ibex
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Ibex
Bioc Package Browser https://code.bioconductor.org/browse/Ibex/
Package Short Url https://bioconductor.org/packages/Ibex/
Package Downloads Report Download Stats