NOISeq
Bioc currentExploratory analysis and differential expression for RNA-seq data
Release Lineage
Entered 2.11 · Oct 3, 2012
Current · Requires R 4.6
Description
Analysis of RNA-seq expression data or other similar kind of data. Exploratory plots to evualuate saturation, count distribution, expression per chromosome, type of detected features, features length, etc. Differential expression between two experimental conditions with no parametric assumptions.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
63 14 exported
Complexity
10.1 avg / 62 max
Call network
63 nodes / 85 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
8,510
Files
70
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
14
Internal functions
39
Testing
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
75%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
2.13.0
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
28
First release
2013-01-28
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
2
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 24
- Examples that run
- 100%13 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 95%
- Return-value docs
- 64%
- Help pages citing references
- 38%
- NOISeq User's Guide PDF
- QCreport.pdf PDF
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
Topics
Depended on by (7)
Bioconductor (7)
Suggested by (2)
People (from the free-text Author field)
Cite
Cite this package
Run in R for the authors' entry:
citation("NOISeq")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 v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.