MsIO provides flexible, language-agnostic import and export capabilities for mass spectrometry (MS) data objects in R. It facilitates interoperability by supporting various open file formats such as JSON, HDF5, plain text, and domain-specific standards like mzTab-M or MetaboLights archives.
While R’s native save()/load() functions allow object serialization, they
rely on R-specific binary formats, making cross-platform data exchange
difficult. MsIO addresses this by introducing standardized file formats
and programmatic interfaces, simplifying integration between R-based tools and
external software ecosystems.
- 📦 Export/import MS analysis results objects across interoperable file formats
- 🧩 Modular design via S4 parameter classes and generic methods
- 🔄 Integration with Bioconductor packages like Spectra, MsExperiment, xcms, and alabaster.base
- 🔧 Support for plain text, JSON+HDF5, mzTab-M, and MetaboLights repository data
saveMsObject(object, param)readMsObject(object, param)
These methods delegate the actual file handling based on the class of the
supplied param object (e.g., PlainTextParam, AlabasterParam).
Each format is encapsulated in a dedicated S4 class:
| Class | Purpose |
|---|---|
PlainTextParam |
Text-based tabular storage |
AlabasterParam |
HDF5/JSON archival via alabaster |
mzTabParam |
Export to mzTab-M (MS metabolomics) |
MetaboLightsParam |
Import from MetaboLights repository |
Corresponding logic is implemented in dedicated R/ files
(e.g. XcmsExperiment.R, Spectra.R), with new formats expected to follow
the same structure.
- Tab-delimited export/import for key objects:
MsBackendMzR,Spectra(from Spectra)MsExperiment(from MsExperiment)XcmsExperiment(from xcms)
- Structured archival using HDF5 and JSON (via
alabaster.base) - Compatible with
MsExperiment,Spectra,XcmsExperiment, etc.
- Export of
XcmsExperimentpreprocessing results to mzTab-M (HUPO PSI metabolomics standard)
- Import of complete experiments (including raw MS files) from MetaboLights
Future development directions include:
- 🔄 Import mzTab-M into
SummarizedExperiment - 🔄 Import mzTab-M into
QFeatures - 🔄 Generic ISA-tab import integration (if justified)
We welcome and encourage contributions — see below for how to get involved!
We appreciate contributions of all kinds — from bug fixes and tests to documentation and new format support.
If you're planning to contribute:
- Read our contribution guidelines
- Follow the RforMassSpectrometry style guide
- Fork the repo, create a branch, implement your changes, and submit a pull request
- For new formats, implement:
- A
*ParamS4 class - A
readMsObject()and/orsaveMsObject()method - Tests in
tests/testthat/
- A
This package is licensed under the Artistic 2.0 License:
📄 https://opensource.org/licenses/Artistic-2.0
Documentation (manuals, vignettes) is licensed under CC BY-SA 4.0:
📄 https://creativecommons.org/licenses/by-sa/4.0/