pyopenms
CommunityMaster mass spectrometry data analysis.
Education & Research#data analysis#bioinformatics#metabolomics#mass spectrometry#proteomics#pyopenms#lc-ms
AuthorRowtion
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies complex mass spectrometry data analysis, enabling researchers to process proteomics and metabolomics data efficiently without deep bioinformatics expertise.
Core Features & Use Cases
- Data Processing: Handle mass spectrometry file formats (mzML, mzXML), perform signal processing, feature detection, and identification.
- Proteomics & Metabolomics: Supports comprehensive workflows for peptide/protein identification, quantification, and untargeted metabolomics.
- Use Case: A researcher can use this Skill to automatically identify proteins from raw LC-MS/MS data, control false discovery rates, and export a list of identified proteins with confidence scores.
Quick Start
Use the pyopenms skill to identify proteins from the file 'my_data.mzML' using the database 'proteome.fasta'.
Dependency Matrix
Required Modules
None requiredComponents
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 Download link: https://github.com/Rowtion/Bioclaw/archive/main.zip#pyopenms Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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