Abstract
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. © The Author 2009. Published by Oxford University Press.
Cite
CITATION STYLE
Wang, L., Feng, Z., Wang, X., Wang, X., & Zhang, X. (2009). DEGseq: An R package for identifying differentially expressed genes from RNA-seq data. Bioinformatics, 26(1), 136–138. https://doi.org/10.1093/bioinformatics/btp612
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.