metabolomics-workbench-database

Queries NIH Metabolomics Workbench REST API for metabolites, study data, and RefMet nomenclature.

557|98|Updated Nov 7, 2025
One-click install
npx skills add https://github.com/jimmc414/Kosmos --skill metabolomics-workbench-database-jimmc414
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: metabolomics-workbench-database
Source: https://github.com/jimmc414/Kosmos/tree/main/kosmos-claude-scientific-skills/scientific-skills/metabolomics-workbench-database
Command: npx skills add https://github.com/jimmc414/Kosmos --skill metabolomics-workbench-database-jimmc414

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides programmatic access to the NIH Metabolomics Workbench, enabling researchers to query vast datasets of metabolomics studies, identify metabolites, standardize nomenclature, and perform mass spectrometry searches.

Core Features & Use Cases

  • Query Metabolites: Search for metabolite structures, identifiers, and cross-references.
  • Access Study Data: Retrieve metadata and experimental results from over 4,200 studies.
  • Standardize Nomenclature: Use RefMet to ensure consistent metabolite naming.
  • Mass Spectrometry Search: Identify compounds by m/z values.
  • Use Case: A researcher investigating biomarkers for a specific disease can use this skill to find all relevant metabolomics studies, query for known metabolites associated with the disease, and retrieve their associated experimental data.

Quick Start

Use the metabolomics-workbench-database skill to find all studies containing measurements of 'glucose'.

Frequently Asked Questions about metabolomics-workbench-database

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search metabolomics studies for specific metabolites and experimental results?

Use the RefMet nomenclature standardization system to ensure consistent metabolite naming across NIH Metabolomics Workbench queries. RefMet resolves synonymous compound names to a unified identifier, enabling accurate cross-referencing of metabolites and associated gene or protein information.

Can I identify unknown compounds using mass spectrometry data from the metabolomics database?

The NIH Metabolomics Workbench provides comprehensive metabolomics data, including over 4,200 studies with metadata and experimental results. It enables metabolite identification, nomenclature standardization via RefMet, mass spectrometry searches, and retrieval of associated gene and protein information.

How do I retrieve gene and protein information associated with specific metabolites?

Query the NIH Metabolomics Workbench REST API to retrieve gene and protein information linked to specific metabolites. This cross-referencing capability supports biomarker discovery by connecting metabolomics data with related molecular biology datasets.

What is RefMet standardization and when do I need it for metabolomics research?

RefMet is a nomenclature standardization system used to ensure consistent metabolite naming across different studies and databases. You need it when comparing metabolomics data from multiple sources or performing cross-study analyses to avoid naming inconsistencies.