MWASTools
Bioc currentMWASTools: an integrated pipeline to perform metabolome-wide association studies
Release Lineage
Entered 3.5 · Apr 25, 2017
Current · Requires R 4.6
Description
MWASTools provides a complete pipeline to perform metabolome-wide association studies. Key functionalities of the package include: quality control analysis of metabonomic data; MWAS using different association models (partial correlations; generalized linear models); model validation using non-parametric bootstrapping; visualization of MWAS results; NMR metabolite identification using STOCSY; and biological interpretation of MWAS results.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
63 0 exported
Complexity
5.5 avg / 23 max
Call network
63 nodes / 19 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
4,766
Files
68
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
23
Internal functions
63
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.00
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
0%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.4
System requirements
–
C++ standard
–
License
CC BY-NC-ND 4.0
License flags
not SPDX, not OSI
History
Versions
19
First release
2017-04-24
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
5
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 87%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- References docs
- 59%
Topics
Depended on by (1)
Bioconductor (1)
People
Andrea Rodriguez-Martinez
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("MWASTools")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.