Metabolomics Workbench Database

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This skill provides a specialized interface for the NIH Metabolomics Workbench, enabling researchers and developers to programmatically access over 4,200 metabolomics studies. It streamlines the retrieval of metabolite structures, experimental metadata, and mass spectrometry data while leveraging RefMet for nomenclature standardization. Whether you are identifying compounds from m/z values or exploring gene-metabolite associations, this skill provides the necessary implementation patterns and API guidance to integrate comprehensive metabolomics data directly into your Claude-assisted scientific workflows.

Características Principales

• Metabolite structure and identifier querying (PubChem, KEGG, HMDB)
• Standardized nomenclature mapping via RefMet database
• Mass spectrometry m/z searches with adduct and tolerance controls
• Experimental study metadata and multi-format data retrieval
• Advanced filtering by analytical methods (LC-MS, GC-MS, NMR) and biological parameters
• 16 GitHub stars

Casos de Uso

• Identifying unknown compounds from mass spectrometry m/z values and adduct data
• Standardizing metabolite names across diverse datasets for meta-analysis
• Retrieving experimental data from public NIH studies for comparative bioinformatics research