Comprehensive Analysis of Nucleotide Conversion Sequencing Data R package grandR version 0.2.7 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, (see 'Jürges et al' <doi:10.1093/bioinformatics/bty256>) 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. Fast Wilcoxon tests are supported via the 'presto' package (available at <https://github.com/immunogenomics/presto>). Software Depends: R (>= 3.5.0) Imports: stats, Matrix, rlang, ggplot2, grDevices, patchwork, RCurl, plyr, parallel, reshape2, MASS, scales, cowplot, minpack.lm, lfc, labeling, methods, utils, numDeriv Suggests: knitr, rmarkdown, circlize, Seurat, ComplexHeatmap, ggrepel, DESeq2, S4Vectors, data.table, clusterProfiler, biomaRt, msigdbr, fgsea, rclipboard, cubature, DT, shinyjs, shinyjqui, RColorBrewer, gsl, htmltools, matrixStats, VGAM, quantreg, graphics, shiny, ggrastr, viridisLite, deSolve, presto Florian Erhard <Florian.Erhard@informatik.uni-regensburg.de> Comprehensive R Archive Network (CRAN) Florian Erhard [aut, cre] (ORCID: <https://orcid.org/0000-0002-3574-6983>), Teresa Rummel [ctb], Julian Selke [ctb] Apache License (>= 2) 2026-01-14 application/tgz https://CRAN.R-project.org/package=grandR doi:10.32614/CRAN.package.grandR