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IgGeneUsage

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

Differential gene usage in immune repertoires


Bioconductor version: Development (3.19)

Detection of biases in the usage of immunoglobulin (Ig) genes is an important task in immune repertoire profiling. IgGeneUsage detects aberrant Ig gene usage between biological conditions using a probabilistic model which is analyzed computationally by Bayes inference. With this IgGeneUsage also avoids some common problems related to the current practice of null-hypothesis significance testing.

Author: Simo Kitanovski [aut, cre]

Maintainer: Simo Kitanovski <simo.kitanovski at uni-due.de>

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

Installation

To install this package, start R (version "4.4") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("IgGeneUsage")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews Bayesian, BiomedicalInformatics, DifferentialExpression, Genetics, ImmunoOncology, MathematicalBiology, Regression, Software
Version 1.17.25
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License MIT + file LICENSE
Depends R (>= 4.2.0)
Imports methods, reshape2 (>= 1.4.3), Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.2.0), SummarizedExperiment, tidyr
System Requirements GNU make
URL https://github.com/snaketron/IgGeneUsage
Bug Reports https://github.com/snaketron/IgGeneUsage/issues
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Suggests BiocStyle, knitr, rmarkdown, testthat (>= 2.1.0), ggplot2, ggforce, ggrepel, patchwork
Linking To 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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Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/IgGeneUsage
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/IgGeneUsage
Package Short Url https://bioconductor.org/packages/IgGeneUsage/
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