Comprehensive Analysis of Nucleotide Conversion Sequencing Data
Overview
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).
Major updates
- Removed dependency to monocle (which caused problems on the newest cran build)
- Added wilcoxon test (optionally via presto) for differential gene expression
Smaller updates
- More useful parameter name count.as.integer for GetTable, GetMatrix and GetData
- Expanded code for estimation in the mixture model
- Removed the ComputeAbsolute function
- Reading llr and shape matrices of Grand3 output
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK12 OK2026-04-25
Show 1 earlier changeHide 1 earlier change
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 126
- Examples that run
- 90%36 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run · 1 hold no code
- Exported functions with examples
- 33%
- Documented parameters
- 97%
- Return-value docs
- 98%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- not measured
- Median days to close, 50 most recently updated closed issues
- 14
- Median days to close, 50 most recently updated closed PRs
- not measured
Stars over time
Forks over time
Releases over time
Issues over time
4 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/erhard-lab/grandr on 2026-10-11.
Dependencies
Installing grandR adds 30 packages (15 with compiled code, 33 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, patchwork 3.2 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.2.7Latest2026-01-14 · current release · diff ↗ ·
removed 1 export
ComputeAbsoluteadded 2 exports
Renamer, Wilcoxon - RR 4.5.0 released · 2025-04-11
- 0.2.6
- RR 4.4.0 released · 2024-04-24
- 0.2.52024-02-15 · diff ↗ ·
added 4 exports
ComputeColumnStatistics, GetPairContrasts, PoolColumns, ReadFeatureCounts - RR 4.3.0 released · 2023-04-21
- 0.2.22023-04-20 · diff ↗ ·
added 10 exports
ComputeNonConstantParam, ComputeSummaryStatistics, Correct4sUDropoutHLFactor, Correct4sUDropoutHLSpline, Estimate4sUDropoutPercentage, Estimate4sUDropoutPercentageForSample, EvaluateNonConstantParam, SimulateTimeCourseNonConstant, f.nonconst, f.nonconst.linear - 0.2.12023-02-27 · diff ↗ ·
removed 8 exports
GetSparseMatrix, PlotToxicityTest, PlotToxicityTestAll, PlotToxicityTestDeferAll, PlotToxicityTestRank, PlotToxicityTestRankAll, PlotToxicityTestRankDeferAll, VersionStringadded 26 exports
ComputePseudoNtr, CreatePdfs, CreatePdfsComparison, CreatePdfsParameters, CreatePdfsProfiles, DESeq2BIC, GetMatrix, IsSparse, Metadata, Pairwise, Plot4sUDropout, Plot4sUDropoutAll, Plot4sUDropoutDeferAll, Plot4sUDropoutRank, Plot4sUDropoutRankAll, Plot4sUDropoutRankDeferAll, ReadCounts, ReadNewTotal, RenameColumns, SaveNtrSlot, Semantics.concentration, SwapColumns, UpdateSymbols, UseNtrSlot, as.Seurat.grandR, merge.grandR - 0.2.02022-09-20
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-09-20
- Total releases
- 6 / 4 yrs
- License
- Apache License (>= 2)
- Minimum R
- ≥ 3.5.0
- Download size
- 646 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("grandR")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1093/bioinformatics/bty256, 10.1038/s41586-019-1369-y, 10.1038/s41467-023-39163-4.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.