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scientific-lipidomics

Integrates LipidMAPS, SwissLips, and LION databases for unified lipid structure search, subclass classification, MS/MS identification, and pathway enrichment.

3|1|Updated Feb 11, 2026

Search Tags:#pathway-enrichment #differential-analysis #lipidomics #lipidmaps #swisslipids #lion #ms/ms-identification

Ready to run

npx skills add https://github.com/nahisaho/satori --skill scientific-lipidomics

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: scientific-lipidomics
Source: https://github.com/nahisaho/satori/tree/main/src/.github/skills/scientific-lipidomics
Command: npx skills add https://github.com/nahisaho/satori --skill scientific-lipidomics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Lipidomics researchers often struggle with fragmented lipid databases and disjointed analysis tools. Scientific Lipidomics unifies LipidMAPS, SwissLipids, and LION to provide a cohesive lipid structure search, subclass classification, MS/MS identification, and pathway enrichment workflow.

Core Features & Use Cases

Unified lipid database integration for structure search, classification, and annotation.
MS/MS identification and lipid pathway enrichment to interpret lipidomes.
Lipid profiling in differential analysis and pathway-level interpretation.
TU external tools via REST APIs and Python libraries for end-to-end pipelines.

Quick Start

Configure LipidMAPS/LION connections and run the lipidomics pipeline to obtain structured lipid annotations and enriched pathways.

Frequently Asked Questions about scientific-lipidomics

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

FAQPage Schema

How do I perform lipid pathway enrichment and MS/MS identification across multiple databases?▼

Lipid pathway enrichment and MS/MS identification are performed by querying the LipidMAPS, SwissLipids, and LION databases to provide unified lipid structure search, subclass classification, and functional interpretation of lipid pathways.

What is the best way to unify fragmented lipidomics database searches for differential lipid analysis?▼

Unifying fragmented lipidomics database searches is achieved by integrating LipidMAPS, SwissLipids, and LION into a single workflow, enabling cohesive lipid profiling, subclass classification, and pathway-level interpretation across samples.

Do I need REST API access and Python tooling to run LC-MS/MS lipidomics workflows?▼

Yes, executing LC-MS/MS lipidomics workflows requires REST API access to LipidMAPS, SwissLipids, and LION, alongside compatible Python tooling for data handling and visualization to run end-to-end pipelines.

How do I set up connections for a lipidomics pipeline to get structured lipid annotations?▼

To obtain structured lipid annotations, configure your LipidMAPS and LION API connections, then execute the lipidomics pipeline to perform unified structure search, MS/MS identification, and pathway enrichment.

Can I use this unified lipidomics platform for functional interpretation of lipidomes across samples?▼

Yes, the platform supports functional interpretation of lipidomes across samples by applying differential lipid analysis and pathway enrichment using the integrated LION database framework.

Why does lipidomics pathway enrichment require integrating multiple databases like SwissLipids and LION?▼

Lipidomics pathway enrichment requires integrating SwissLipids and LION because disjointed lipid databases fragment research data, and unifying them ensures cohesive structure search, accurate MS/MS identification, and comprehensive functional pathway interpretation.