DEGseq: an R package for identifying differentially expressed genes from RNA-seq data
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 …
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 …
Abstract
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
Contact: xwwang@tsinghua.edu.cn; zhangxg@tsinghua.edu.cn
Supplementary information: Supplementary data are available at Bioinformatics online.
Oxford University Press