grandR
0.2.7Comprehensive 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).
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Repository
Dependencies
Code & Tests
- Cyclomatic complexity
- 3.0 median / 105 max
- Documented parameters
- 97%
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
300 165 exported
Complexity
6.1 avg / 105 max
Call network
300 nodes / 626 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
6 releases. Pick two to compare their code metrics. R releases are shown for context.
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
- Installed size
- not tracked yet
- With dependencies
- not tracked yet