metabolomics-workbench-database

Query NIH Metabolomics Workbench REST API for metabolite structures and study metadata.

Updated Jan 10, 2026
One-click install
npx skills add https://github.com/robinbarvaag/poynt --skill metabolomics-workbench-database-robinbarvaag
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: metabolomics-workbench-database
Source: https://github.com/robinbarvaag/poynt/tree/main/.github/skills/metabolomics-workbench-database
Command: npx skills add https://github.com/robinbarvaag/poynt --skill metabolomics-workbench-database-robinbarvaag

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, standardize metabolite nomenclature, and perform mass spectrometry searches.

Core Features & Use Cases

  • Query Metabolite Data: Retrieve detailed information about metabolites, including structures and identifiers.
  • Access Study Metadata: Search and retrieve data from over 4,200 metabolomics studies.
  • Standardize Nomenclature: Use RefMet to ensure consistent metabolite naming.
  • Perform m/z Searches: Identify compounds based on mass spectrometry data.
  • Use Case: A researcher needs to find all studies related to "diabetes" that measured "glucose" using LC-MS. This Skill can query the database to retrieve relevant study IDs and associated data.

Quick Start

Use the metabolomics-workbench-database skill to find studies containing the metabolite '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 query metabolomics study metadata from the NIH Metabolomics Workbench API?

You can query metabolomics study metadata by using programmatic access to the NIH Metabolomics Workbench REST API to search and retrieve data from over 4,200 metabolomics studies. This Skill facilitates requesting study IDs and associated experimental results.

How do I standardize metabolite nomenclature using RefMet for biomarker discovery?

Standardize metabolite nomenclature by using the RefMet system through the Metabolomics Workbench REST API. This ensures consistent metabolite naming across studies, which is essential for accurate biomarker discovery and cross-referencing experimental results.

Can I perform mass spectrometry m/z searches to identify compounds in metabolomics studies?

Yes, you can perform mass spectrometry m/z searches to identify compounds via the NIH Metabolomics Workbench REST API. This feature allows researchers to input mass spectrometry data and retrieve matching metabolite structures and identifiers.

What is the best way to retrieve detailed metabolite structures and identifiers programmatically?

Retrieve detailed metabolite structures and identifiers by querying the NIH Metabolomics Workbench REST API. This Skill enables programmatic access to vast metabolomics datasets, returning structures and standardized identifiers for research.

Does the Metabolomics Workbench database Skill support filtering studies by specific metabolites like glucose?

Yes, the Metabolomics Workbench database Skill supports filtering studies by specific metabolites. You can query the database to find all studies containing a target metabolite like glucose and retrieve the associated study metadata and experimental results.

What are the limitations of using the Metabolomics Workbench REST API for metabolite searches?

The Metabolomics Workbench REST API limits searches to the data available within the NIH database, meaning retrieval depends on the scope of over 4,200 deposited studies. It requires programmatic REST calls and does not process raw mass spectrometry files directly.