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DEGseq

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

All Bioconductor versions of DEGseq

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

Identify Differentially Expressed Genes from RNA-seq data

Bioconductor version: 3.23 · Package version: 1.66.0

DEGseq is an R package to identify differentially expressed genes from RNA-Seq data.

Author: Likun Wang <wanglk at pku.edu.cn>, Xiaowo Wang <xwwang at tsinghua.edu.cn> and Xuegong Zhang <zhangxg at tsinghua.edu.cn>.

Maintainer: Likun Wang <wanglk at pku.edu.cn>

DOI: 10.18129/B9.bioc.DEGseq

Citation

From within R, enter citation("DEGseq"):

Likun Wang, Xiaowo Wang and Xuegong Zhang. DEGseq: Identify Differentially Expressed Genes from RNA-seq data. doi:10.18129/B9.bioc.DEGseq, R package version 1.66.0, https://bioconductor.org/packages/DEGseq.

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("DEGseq")

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

Details

Version1.66.0
LicenseLGPL (>=2)
Last updated2026-04-28
In Bioconductor sinceBioC 2.5 or earlier (R-2.10) (16 years)
Downloads rank578 of 2,418
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsDifferentialExpression, GeneExpression, ImmunoOncology, Preprocessing, RNASeq, Software
Package Short Url https://bioconductor.org/packages/DEGseq/

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DEGseq")
DEGseq PDF R Script
Reference ManualPDF
NEWSText

Download

Follow the installation instructions to use this package in your R session.

Source packageDEGseq_1.66.0.tar.gz
Windows binary (x86_64)DEGseq_1.66.0.zip
macOS binary (arm64)DEGseq_1.66.0.tgz
macOS binary (x86_64)DEGseq_1.66.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/DEGseq
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/DEGseq
Package Downloads ReportDownload Stats
Dependencies

Depends: R (>= 2.8.0), qvalue, methods

Imports: graphics, grDevices, methods, stats, utils