RNAseq123
Bioc currentRNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR
Release Lineage
Entered 3.4 · Oct 18, 2016
Current · Requires R 4.6
Description
R package that supports the F1000Research workflow article on RNA-seq analysis using limma, Glimma and edgeR by Law et al. (2016).
None published for Bioconductor
Call graph
Open call graph →Code intelligence has not been computed for this package yet.
Code
Structure
Lines of code
3,512
Files
18
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
–
Internal functions
0
Testing
Has tests
No
Test-to-code ratio
–
testthat edition
–
Docs
Roxygen coverage
–
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
10%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.3.0
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
20
First release
2016-10-17
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
6
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- No help pages
- Examples that run
- no examples
- Exported functions with examples
- not tracked
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- not tracked
Repository practices
Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.
No development-tooling practices detected in the Bioconductor git repository.
Datasets
| Name | Class | Size | Also in |
|---|---|---|---|
| Mm.c2 | list | 4,726 elements | No other package |
Topics
People
- Matthew Ritchie author maintainer
- Monther Alhamdoosh author
- Xueyi Dong author
- Charity Law author
- Gordon Smyth author
- Shian Su author
- Luyi Tian author
Cite
Cite this package
Run in R for the authors' entry:
citation("RNAseq123")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.