pyopenms-mass-spectrometry
CommunityProcess mass spec data with PyOpenMS.
Authorjaechang-hits
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the complex process of analyzing mass spectrometry data, enabling efficient processing of proteomics and metabolomics workflows.
Core Features & Use Cases
- Data Processing: Handles raw LC-MS/MS data (mzML, mzXML) for identification and quantification.
- Feature Detection: Identifies and links chromatographic features across multiple samples.
- Identification: Processes search engine results for peptide and protein identification with FDR control.
- Use Case: Analyze raw LC-MS/MS data to identify differentially expressed proteins between two biological conditions, generating a list of significant proteins with associated FDR values.
Quick Start
Use the pyopenms-mass-spectrometry skill to load 'sample.mzML', smooth the spectra, and then pick peaks.
Dependency Matrix
Required Modules
pyopenmsnumpypandasmatplotlib
Components
scriptsreferences
💻 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: pyopenms-mass-spectrometry Download link: https://github.com/jaechang-hits/SciAgent-Skills/archive/main.zip#pyopenms-mass-spectrometry Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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