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Updated: Jun 19, 2026
Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
Published on: September 18, 2021
DEGseq: an R package for identifying differentially expressed genes from RNA-seq data
Likun Wang1, Zhixing Feng, Xi Wang
1MOE Key Laboratory of Bioinformatics and Bioinformatics Division, TNLIST/Department of Automation, Tsinghua, University, Beijing 100084, China.
Summary:
High-throughput RNA sequencing (RNA-seq) is rapidly emerging as a major quantitative transcriptome profiling platform. Here, we present DEGseq, an R package to identify differentially expressed genes or isoforms for RNA-seq data from different samples. In this package, we integrated three existing methods, and introduced two novel methods based on MA-plot to detect and visualize gene expression difference.
Availability:
The R package and a quick-start vignette is available at http://bioinfo.au.tsinghua.edu.cn/software/degseq
