EDASeq

Exploratory Data Analysis and Normalization for RNA-Seq

Bioconductor version: 3.24 · Package version: 2.47.0

Numerical and graphical summaries of RNA-Seq read data. Within-lane normalization procedures to adjust for GC-content effect (or other gene-level effects) on read counts: loess robust local regression, global-scaling, and full-quantile normalization (Risso et al., 2011). Between-lane normalization procedures to adjust for distributional differences between lanes (e.g., sequencing depth): global-scaling and full-quantile normalization (Bullard et al., 2010).

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("EDASeq")