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feature-metadata-extraction-from-clustering-objects - Extract spectral metadata from RAMClustR clustering objects.

Extracts m/z, intensity pairs, retention time, and molecular weight annotations from RAMClustR objects for downstream spectral format conversion.

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Updated: 2026-09-18

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Extract spectral metadata from RAMClustR objects
  • Verify retention time cluster consistency
  • Map metadata to target software schemas
  • Validate cluster representation completeness

Inputs

  • RAMClustR object after do.findmain execution
  • Feature abundance matrix (RC$SpecAbund)
  • Feature retention times (RC$frt)
  • Feature m/z values (RC$mz)
  • Cluster annotations and molecular weights (RC$ann)
  • Feature-to-cluster mapping (RC$featclus)

Outputs

  • Extracted spectral metadata table
  • Cluster-level retention time and molecular weight annotations
  • Intermediate spectral data structure

Requirements

  • R runtime environment
  • RAMClustR package
  • Completed XCMS feature detection and alignment
  • Completed do.findmain molecular weight inference

Source

  • Spec: SKILL.md

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metabolomics
mass-spectrometry
ramclustr
xcms
metadata-extraction
Extract spectral metadata from RAMClustR objects
Verify retention time cluster consistency
Map metadata to target software schemas
Validate cluster representation completeness
RAMClustR object after do.findmain execution
Feature abundance matrix (RC$SpecAbund)
Feature retention times (RC$frt)
Extracted spectral metadata table
Cluster-level retention time and molecular weight annotations
Intermediate spectral data structure