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lobster-metabolomics

Metabolomics analysis for LC-MS, GC-MS, and NMR untargeted metabolomics workflows.

Installation

pip install lobster-metabolomics

Agents

Agent Description
metabolomics_expert Full metabolomics workflow orchestration with auto-detection of platform type (LC-MS, GC-MS, NMR) and appropriate preprocessing.

Services

Service Purpose
MetabolomicsQualityService QC assessment: RSD, TIC CV, QC sample evaluation, missing value analysis
MetabolomicsPreprocessingService Feature filtering, imputation (KNN, min, LOD/2, median, MICE), normalization (PQN, TIC, IS, median, quantile), batch correction (ComBat, median centering, QC-RLSC)
MetabolomicsAnalysisService Univariate statistics (t-test, Wilcoxon, ANOVA, Kruskal-Wallis with FDR), PCA, PLS-DA with VIP scores, OPLS-DA, fold change analysis
MetabolomicsAnnotationService m/z-based metabolite annotation against bundled reference database (HMDB/KEGG), MSI confidence levels, lipid class classification

Features

  • Auto-detection of platform type from data characteristics (LC-MS, GC-MS, NMR)
  • Platform-specific defaults for QC thresholds, normalization, and imputation
  • Multiple normalization methods including PQN (gold standard for metabolomics)
  • Supervised multivariate analysis (PLS-DA, OPLS-DA) with permutation testing
  • VIP score calculation for biomarker discovery
  • Metabolite annotation with MSI confidence levels (1-4)
  • Lipid class classification from m/z ranges

Platform Support

Platform Missing Values Normalization Notes
LC-MS 20-60% PQN + log2 Most common untargeted platform
GC-MS 10-40% TIC + log2 Lower missing rates, derivatization
NMR 0-10% PQN (no log) Near-complete feature detection

Requirements

  • Python 3.12+
  • lobster-ai >= 1.0.0

Tier Requirement

This is a free agent. Available to all Lobster AI users.

Documentation

Full documentation: docs.omics-os.com/docs/agents/metabolomics

License

AGPL-3.0-or-later

Metadata

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