Nucleotide conversion sequencing experiments have been developed to add a temporal dimension to RNA-seq and single-cell RNA seq. Such experiments require specialized tools for primary processing such as GRAND-SLAM, and specialized tools for downstream analyses. grandR provides a comprehensive toolbox for quality control, kinetic modeling, differential gene expression analysis and visualization of such data.
grandR is available from CRAN. Install grandR using the following commands on the R console:
You can also install the development version from github:
require("devtools") devtools::install_github("erhard-lab/grandR") library(grandR)
First have a look at the Getting started vignette.
There are also additional vignettes: