MsBackendMsp
Bioc currentMass Spectrometry Data Backend for NIST msp Files
Release Lineage
Entered 3.15 · Apr 27, 2022
Current · Requires R 4.6
Description
Mass spectrometry (MS) data backend supporting import and handling of MS/MS spectra from NIST MSP Format (msp) files. Import of data from files with different MSP *flavours* is supported. Objects from this package add support for MSP files to Bioconductor's Spectra package. This package is thus not supposed to be used without the Spectra package that provides a complete infrastructure for MS data handling.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
6 2 exported
Complexity
5.8 avg / 12 max
Call network
6 nodes / 7 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
1,373
Files
32
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
2
Internal functions
4
Testing & CI
Has tests
Yes
Test-to-code ratio
0.44
testthat edition
–
CI present
Yes
CI type
["github-actions"]
PR gated
Yes
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
22.2%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.1.0
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
9
First release
2022-04-26
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
- Examples that run
- 100%
- Documented parameters
- 67%
- Return-value docs
- 100%
- References docs
- 0%
Topics
Depended on by (1)
Bioconductor (1)
People
- Johannes Rainer author maintainer
- Neumann Steffen author
- Michael Witting contributor
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("MsBackendMsp")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.