Data & ReproProteomics & MetabolomicsFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction
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bio-metabolomics-msdial-preprocessing

Maintainer FreedomIntelligence · Last updated April 1, 2026

MS-DIAL-based metabolomics preprocessing as alternative to XCMS. Covers peak detection, alignment, annotation, and export for downstream analysis. Use when processing MS-DIAL output files for R/Python analysis or when preferring GUI-based preprocessing.

OpenClawNanoClawAnalysisReproductionbio-metabolomics-msdial-preprocessing🧬 bioinformatics (gptomics bio-* suite)bioinformatics — proteomics & metabolomicsms

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-metabolomics-msdial-preprocessing

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • CLI: MS-DIAL GUI or console mode for peak picking and alignment.
  • Process my LC-MS data with MS-DIAL" → Detect chromatographic peaks, align across samples, annotate metabolites, and export a feature table for statistical analysis. CLI: MS-DIAL GUI or console mode for peak picking and alignment.
  • msdial_data <- read.csv('msdial_alignment_result.csv', check.names = FALSE).

Source Doc

Excerpt From SKILL.md

MS-DIAL GUI Workflow

MS-DIAL provides a user-friendly GUI for complete metabolomics preprocessing:

  1. Project Setup - Create new project, select data type
  2. Data Import - Load mzML/ABF files
  3. Peak Detection - Automatic peak picking
  4. Alignment - Cross-sample alignment
  5. Gap Filling - Fill missing values
  6. Annotation - Database matching
  7. Export - Export for downstream analysis

Identify sample columns (contain "Area" or sample names)

sample_cols <- grep('Area$|^Sample', colnames(msdial_data), value = TRUE) meta_cols <- setdiff(colnames(msdial_data), sample_cols)

Extract feature metadata

feature_info <- msdial_data[, meta_cols]

Use cases

  • Use when processing MS-DIAL output files for R/Python analysis or when preferring GUI-based preprocessing.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

Upstream Related Skills

  • xcms-preprocessing - Alternative preprocessing with XCMS
  • metabolite-annotation - Additional annotation methods
  • normalization-qc - Detailed normalization approaches
  • lipidomics - Lipid-specific MS-DIAL workflows

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