skills.rest
LogauaEngstrom
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metabolomics-workbench-database

Query NIH Metabolomics Workbench REST API for metabolites, studies, and RefMet data.

18|1|Updated Dec 27, 2025
Search Tags:#metabolomics#rest-api#data-retrieval#refmet#mw-rest#study-metadata
One-click install
npx skills add https://github.com/LogauaEngstrom/claude-scientific-skills --skill metabolomics-workbench-database-logauaengstrom
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: metabolomics-workbench-database
Source: https://github.com/LogauaEngstrom/claude-scientific-skills/tree/main/scientific-skills/metabolomics-workbench-database
Command: npx skills add https://github.com/LogauaEngstrom/claude-scientific-skills --skill metabolomics-workbench-database-logauaengstrom

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Researchers need programmatic, scalable access to NIH Metabolomics Workbench data for metabolite discovery, study meta-analysis, and cross-database integration.

Core Features & Use Cases

  • REST API access to retrieve study metadata, compound information, RefMet classifications, and experimental data.
  • RefMet standardization to map common metabolite names to standardized nomenclature across datasets.
  • Automated workflows for cross-database queries, data extraction, and integration into analysis pipelines.

Quick Start

Query the Metabolomics Workbench REST API to retrieve studies, metabolites, and RefMet data.

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 NIH Metabolomics Workbench data via a REST API?▼

You query NIH Metabolomics Workbench data via REST API endpoints to retrieve study metadata, compound information, and experimental MS/NMR data in structured outputs with graceful error handling.

What is RefMet standardization for metabolomics data?▼

RefMet standardization maps common metabolite names to standardized nomenclature, enabling consistent cross-database queries and data integration across large metabolomics datasets.

Can I retrieve study metadata and MS data for large metabolomics datasets programmatically?▼

Yes, you can programmatically retrieve study metadata, compound information, and MS/NMR experimental data across large NIH Metabolomics Workbench datasets using documented REST API endpoints.

How do I integrate Metabolomics Workbench data extraction into automated analysis pipelines?▼

You build automated workflows by applying REST API data retrieval and RefMet standardization to extract and integrate metabolite and study metadata directly into your analysis pipelines.

Does the Metabolomics Workbench REST API integration handle query errors gracefully?▼

Yes, the REST API integration handles error cases gracefully, returning structured outputs that ensure reliable metabolite queries and data retrieval even when issues occur.

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