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Ibex

This is the released version of Ibex; for the devel version, see Ibex.

All versions 3.24 (devel), 3.23 (release), 3.22

Methods for BCR single-cell embedding


Bioconductor version: Release (3.23)

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")):

Nick Borcherding. Ibex: Methods for BCR single-cell embedding. doi:10.18129/B9.bioc.Ibex, R package version 1.2.0, https://bioconductor.org/packages/Ibex.

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

Installation

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

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

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 ManualPDF
NEWSText
LICENSEText

Details

biocViews Annotation, Classification, ImmunoOncology, Sequencing, SingleCell, Software
Version1.2.0
In Bioconductor sinceBioC 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 RequirementsPython (via basilisk)
URLhttps://github.com/BorchLab/Ibex/
Bug Reportshttps://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_1.2.0.tar.gz
Windows Binary (x86_64) Ibex_1.2.0.zip
macOS Binary (big-sur-x86_64) Ibex_1.2.0.tgz
macOS Binary (sonoma-arm64) Ibex_1.2.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/Ibex
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/Ibex
Package Short Url https://bioconductor.org/packages/Ibex/
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