metabolomics-workbench-database

Query NIH Metabolomics Workbench REST API for studies, metabolites, and m/z data.

1|Updated Jan 14, 2026
One-click install
npx skills add https://github.com/Sologa/codex-pipeline --skill metabolomics-workbench-database-sologa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: metabolomics-workbench-database
Source: https://github.com/Sologa/codex-pipeline/tree/main/.codex/skills/metabolomics-workbench-database
Command: npx skills add https://github.com/Sologa/codex-pipeline --skill metabolomics-workbench-database-sologa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides programmatic access to the NIH Metabolomics Workbench, a vast repository of metabolomics data, enabling researchers to query metabolites, studies, and related biological information efficiently.

Core Features & Use Cases

  • Metabolite Querying: Search for metabolite structures, identifiers, and cross-references.
  • Study Data Access: Retrieve metadata and experimental results from over 4,200 metabolomics studies.
  • Nomenclature Standardization: Use RefMet to standardize metabolite names.
  • Mass Spectrometry Search: Perform m/z searches for compound identification.
  • Use Case: A researcher needs to find all studies related to "diabetes" that measured "glucose" using LC-MS. This Skill can query the Metabolomics Workbench to identify relevant studies and retrieve their associated data.

Quick Start

Use the metabolomics-workbench-database skill to find studies containing the metabolite 'Tyrosine'.

Frequently Asked Questions about metabolomics-workbench-database

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

FAQPage Schema
How do I query the NIH Metabolomics Workbench API for metabolite data?

Querying the NIH Metabolomics Workbench API involves accessing its REST endpoints to retrieve metabolite structures, identifiers, and cross-references. The Skill enables direct querying of over 4,200 metabolomics studies with JSON and TXT output formats.

How do I standardize metabolite nomenclature using RefMet?

Standardizing metabolite nomenclature with RefMet is achieved by querying the Metabolomics Workbench to map various metabolite names to a unified convention. The Skill facilitates this standardization process directly through the NIH REST API.

Can I search for metabolites by mass spectrometry m/z values in the Metabolomics Workbench?

Searching for metabolites by mass spectrometry m/z values is supported by the Metabolomics Workbench REST API. The Skill performs m/z searches for compound identification, allowing researchers to match experimental mass data against the database.

How do I filter metabolomics studies by biological and analytical parameters?

Filtering metabolomics studies by biological and analytical parameters is done by querying the NIH Metabolomics Workbench database. The Skill allows researchers to retrieve specific study metadata and experimental results based on conditions like disease or analytical platform.

Does the Metabolomics Workbench API support JSON output for study data retrieval?

The Metabolomics Workbench API supports both JSON and TXT output formats for study data retrieval. The Skill leverages this capability to return metabolite structures, study metadata, and biological data in the requested format.

What is the best way to find metabolomics studies related to a specific disease and metabolite?

Finding metabolomics studies related to a specific disease and metabolite requires querying the NIH Metabolomics Workbench with combined biological and chemical parameters. The Skill enables filtering over 4,200 studies to identify relevant experimental data.