Bioconductor release scheduled for October 29

Ibex

This is the development version of Ibex; to use it, please install the devel version of Bioconductor.

Methods for BCR single-cell embedding


Bioconductor version: Development (3.22)

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]

Maintainer: Nick Borcherding <ncborch at gmail.com>

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

Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
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, ExperimentHubSoftware, ImmunoOncology, Sequencing, SingleCell, Software
Version 0.99.32
In Bioconductor since BioC 3.22 (R-4.5)
License MIT + file LICENSE
Depends R (>= 4.5.0)
Imports basilisk, immApex(>= 1.3.2), methods, Matrix, reticulate (>= 1.43.0), rlang, 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, 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_0.99.32.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64) Ibex_0.99.33.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