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.
| Version: |
0.2.0 |
| Imports: |
stats, Matrix, ggplot2, grDevices, patchwork, plyr, parallel, reshape2, MASS, cowplot, minpack.lm, lfc, methods, utils, numDeriv |
| Suggests: |
knitr, rmarkdown, circlize, Seurat, ComplexHeatmap, ggrepel, RCurl, DESeq2, clusterProfiler, msigdbr, fgsea, rclipboard, cubature, lamW, DT, RColorBrewer, eulerr, gsl, htmltools, labeling, matrixStats, monocle, VGAM, quantreg, rlang, graphics, scales, shiny |
| Published: |
2022-09-20 |
| Author: |
Florian Erhard 
[aut, cre],
Teresa Rummel [ctb],
Lygeri Sakellaridi [ctb] |
| Maintainer: |
Florian Erhard <Florian.Erhard at uni-wuerzburg.de> |
| BugReports: |
https://github.com/erhard-lab/grandR/issues |
| License: |
Apache License (≥ 2) |
| URL: |
https://github.com/erhard-lab/grandR |
| NeedsCompilation: |
no |
| Citation: |
grandR citation info |
| Materials: |
README NEWS |
| CRAN checks: |
grandR results |