Add MZMine metabolomics vignette and re-export MZMinetoMSstatsFormat#211
Add MZMine metabolomics vignette and re-export MZMinetoMSstatsFormat#211swaraj-neu wants to merge 1 commit into
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📝 WalkthroughWalkthrough
ChangesMZMinetoMSstatsFormat re-export and metabolomics vignette
Sequence Diagram(s)sequenceDiagram
participant User
participant MSstatsConvert
participant MSstats
User->>MSstatsConvert: system.file() — retrieve MZMine, annotation, library, SIRIUS CSVs
User->>MSstatsConvert: MZMinetoMSstatsFormat(mzmine, annotation, library, sirius)
MSstatsConvert-->>User: MSstats-format data frame
User->>MSstats: dataProcess(converted, logTrans=2, normalization="equalizeMedians", MBimpute=TRUE)
MSstats-->>User: FeatureLevelData + ProteinLevelData
User->>MSstats: groupComparison(contrast.matrix, summarized)
MSstats-->>User: ComparisonResult (log2FC, pvalue, adj.pvalue, issue)
User->>MSstats: dataProcessPlots(type="ProfilePlot")
User->>MSstats: groupComparisonPlots(type="VolcanoPlot", eval=FALSE)
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Poem
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches🧪 Generate unit tests (beta)
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🧹 Nitpick comments (1)
vignettes/MSstatsMetabolomics.Rmd (1)
39-39: 💤 Low valueConsider adding a reference for the MSI levels citation.
Line 39 references "Sumner et al., 2007" for the MSI (Metabolomics Standards Initiative) identification levels. While informal citations are acceptable in vignettes, adding a brief reference or URL would help readers locate the source document if they want to learn more about the classification system.
📚 Optional addition
You could add a references section at the end:
## __References__ Sumner, L.W., Amberg, A., Barrett, D., et al. (2007). Proposed minimum reporting standards for chemical analysis. _Metabolomics_, 3, 211-221. https://doi.org/10.1007/s11306-007-0082-2Or simply add the DOI inline:
- correspond to MSI Level 2 putative identifications (Sumner et al., 2007). + correspond to MSI Level 2 putative identifications (Sumner et al., 2007, https://doi.org/10.1007/s11306-007-0082-2).🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@vignettes/MSstatsMetabolomics.Rmd` at line 39, Add a formal reference for the Sumner et al., 2007 citation mentioned in relation to MSI Level 2 identification levels. Either create a References section at the end of the vignette document with the complete citation details (authors, year, title, journal, volume, pages, and DOI), or add the DOI inline with the existing citation at the location where MSI levels are mentioned. This will help readers locate the source document and understand the classification system better.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Nitpick comments:
In `@vignettes/MSstatsMetabolomics.Rmd`:
- Line 39: Add a formal reference for the Sumner et al., 2007 citation mentioned
in relation to MSI Level 2 identification levels. Either create a References
section at the end of the vignette document with the complete citation details
(authors, year, title, journal, volume, pages, and DOI), or add the DOI inline
with the existing citation at the location where MSI levels are mentioned. This
will help readers locate the source document and understand the classification
system better.
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Run ID: 216978bb-d16b-4477-bf79-31e524d04a99
📒 Files selected for processing (4)
NAMESPACER/converters.Rman/reexports.Rdvignettes/MSstatsMetabolomics.Rmd
Motivation and Context
Please include relevant motivation and context of the problem along with a short summary of the solution.
Changes
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Testing
Please describe any unit tests you added or modified to verify your changes.
Checklist Before Requesting a Review
Motivation and Context
This pull request extends the MSstats package to support metabolomics workflows using MZMine data, which is a popular open-source software for LC-MS feature detection and annotation. The MSstats package previously focused on proteomics, but this PR adds capability to handle untargeted metabolomics data by leveraging the
MZMinetoMSstatsFormatconverter function from theMSstatsConvertpackage. The change maintains backwards compatibility by re-exporting the converter function through the MSstats namespace, allowing users to perform complete differential abundance analysis workflows on metabolomics data without needing to explicitly load the MSstatsConvert package.Detailed Changes
NAMESPACE file: Added
export(MZMinetoMSstatsFormat)to expose the re-exported converter function (line 26)R/converters.R: Added roxygen2 export and import directives for
MZMinetoMSstatsFormatwith#'@export`` and#'@importFrom` MSstatsConvert MZMinetoMSstatsFormat` documentation comments followed by the re-export statement `MSstatsConvert::MZMinetoMSstatsFormat` (lines 21-22), following the established pattern used for other source-specific converters (DIANN, DIAUmpire, FragPipe, MaxQ, OpenMS, OpenSWATH, PD, Progenesis, Skyline, Spectronaut)man/reexports.Rd: Updated the roxygen2-generated re-exports documentation page to include
MZMinetoMSstatsFormatin the list of exported converters with a new\alias{MZMinetoMSstatsFormat}entry and updated the MSstatsConvert item description to include a cross-reference link to the functionvignettes/MSstatsMetabolomics.Rmd: Added a comprehensive new vignette documenting an end-to-end metabolomics workflow that demonstrates:
MZMinetoMSstatsFormatwith combined evidence from MZMine compound names (MSI Level 2) and SIRIUS structure predictions (MSI Level 3)dataProcesswith log2 transformation, equalized medians normalization, TMP summarization, and model-based imputationgroupComparisonwith pairwise contrastsdataProcessPlotsandgroupComparisonPlotsUnit Tests
The vignette itself serves as an executable test demonstrating the complete workflow. The code chunks in
MSstatsMetabolomics.Rmdload data, execute the conversion, summarization, and comparison functions, and generate visualizations, providing functional validation of the re-exportedMZMinetoMSstatsFormatfunction and its integration with the existing MSstats analysis pipeline.Coding Guidelines
All changes follow the established patterns and conventions in the MSstats codebase:
R/converters.Rfollows the identical structure of existing converter re-exports (DIANNtoMSstatsFormat, DIAUmpiretoMSstatsFormat, etc.), maintaining consistency with the backwards-compatibility layer#'@exportand `#' `@importFromdirectivesknitr::opts_chunksettings for figure sizing and output options consistent with MSstats conventionsdata.table::fread()function for data loading, matching patterns used elsewhere in the codebase