DEXSeq

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

Inference of differential exon usage in RNA-Seq


Bioconductor version: Development (3.21)

The package is focused on finding differential exon usage using RNA-seq exon counts between samples with different experimental designs. It provides functions that allows the user to make the necessary statistical tests based on a model that uses the negative binomial distribution to estimate the variance between biological replicates and generalized linear models for testing. The package also provides functions for the visualization and exploration of the results.

Author: Simon Anders <sanders at fs.tum.de> and Alejandro Reyes <alejandro.reyes.ds at gmail.com>

Maintainer: Alejandro Reyes <alejandro.reyes.ds at gmail.com>

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

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("DEXSeq")

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

Documentation

Reference Manual PDF

Details

biocViews AlternativeSplicing, DifferentialExpression, DifferentialSplicing, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software, Visualization
Version 1.53.0
In Bioconductor since BioC 2.9 (R-2.14) (13 years)
License GPL (>= 3)
Depends BiocParallel, Biobase, SummarizedExperiment, IRanges(>= 2.5.17), GenomicRanges(>= 1.23.7), DESeq2(>= 1.39.6), AnnotationDbi, RColorBrewer, S4Vectors(>= 0.23.18)
Imports BiocGenerics, biomaRt, hwriter, methods, stringr, Rsamtools, statmod, geneplotter, genefilter
System Requirements
URL
See More
Suggests GenomicFeatures, txdbmaker, pasilla(>= 0.2.22), parathyroidSE, BiocStyle, knitr, rmarkdown, testthat, pasillaBamSubset, GenomicAlignments, roxygen2, glmGamPoi
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

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