Overview
Spectra separates analysis methods from storage backends, supporting both in-memory processing and approaches suited to larger collections.
What can this tool do?
Common uses
- Build reproducible spectral processing code.
- Use compatible backends to work with large spectral datasets.
Scientific fit
Primary function
Spectral processing and comparison
Data compatibility
Inputs
Mass spectra
Outputs
Mass spectra
Input formats
Other, Spectra objects and backend-supported files
Output formats
Other, Spectra objects and backend-supported exports
Scope and considerations
Designed for
- Build reproducible spectral processing code.
Not designed for
- Automatic compound identification without matching methods and reference data.
Important requirements
- R/Bioconductor and a storage backend appropriate for the input data.
Considerations
- Backend capabilities differ; confirm which operations and export routes the selected backend supports.
Access and documentation
Open-source software; use the official installation, license and citation guidance for the selected release.
Evidence and review
Documentation-based editorial review on 7 September 2026. Scope and limitations summarize the linked official sources; software execution and developer verification were not assessed.
No dedicated scholarly publication is listed. Follow the official documentation and resource-specific citation guidance.
Software and documentation citations
- Spectra developers. Spectra: Spectra Infrastructure for Mass Spectrometry Data. Bioconductor package record. doi:10.18129/B9.bioc.Spectra
Related tools
Entry history
Changes to this catalogue entry, not the tool's software release history. Acceptance and editorial review are separate.
- 2026-09-08 · Entry update
Audit core publications across existing tools
View change · Entry at this revision - 2026-09-07 · First committed entry
Add 50 documented metabolomics resources
View change · Entry at this revision