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.

# Installation

grandR is available from CRAN. Install grandR using the following commands on the R console:

install.packages("grandR")
library(grandR)

You can also install the development version from github:

require("devtools")
devtools::install_github("erhard-lab/grandR")
library(grandR)

# How to get started

First have a look at the Getting started vignette.

Then, go through the Differential expression or the Kinetic modeling vignette, which provide a comprehensive walk-through of the two main settings of nucleotide conversion experiments.