metabolomics-peak-detection
OfficialDetect and analyze metabolite peaks.
Education & Research#data analysis#metabolomics#feature detection#peak detection#XCMS#MZmine#MS-DIAL
AuthorTianGzlab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the challenging and time-consuming process of identifying and characterizing metabolite peaks in complex metabolomics data, which is crucial for downstream analysis and discovery.
Core Features & Use Cases
- Automated Peak Picking: Identifies significant metabolite peaks from raw intensity data.
- Feature Detection & Alignment: Detects chromatographic features and aligns them across samples.
- Support for Multiple Tools: Integrates with established metabolomics software like XCMS, MZmine 3, and MS-DIAL.
- Use Case: Analyze a batch of untargeted metabolomics LC-MS data to detect all potential metabolite features, enabling comparative analysis between different experimental conditions.
Quick Start
Use the metabolomics-peak-detection skill to detect peaks in the provided demo data.
Dependency Matrix
Required Modules
numpypandasscipy
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: metabolomics-peak-detection Download link: https://github.com/TianGzlab/OmicsClaw/archive/main.zip#metabolomics-peak-detection Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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