What search engines can I use for peptide identification?

PyOpenMS integrates with several major search engines including Comet, Mascot, MSGFPlus, XTandem, OMSSA, and Myrimatch.

Is this skill suitable for metabolomics research?

Absolutely. It covers dedicated untargeted metabolomics workflows including retention time alignment, consensus map linking, and compound database annotation.

How do I integrate PyOpenMS with Pandas?

The skill includes specialized methods to convert OpenMS objects like FeatureMaps directly into Pandas DataFrames, making it easy to use standard Python data analysis tools.

Can I use this for quantitative proteomics?

Yes, the skill provides specific implementation patterns for feature detection, linking across samples, and protein quantification across complex LC-MS/MS pipelines.

What file formats does the PyOpenMS skill support?

It supports a wide range of industry-standard formats including mzML, mzXML, TraML, mzTab, FASTA, pepXML, protXML, and mzIdentML for comprehensive data handling.

PyOpenMS Mass Spectrometry Analysis

Name: PyOpenMS Mass Spectrometry Analysis
Author: Yezez9

byYezez9

0•

データサイエンスとML

Enables comprehensive mass spectrometry data processing for proteomics and metabolomics workflows within Claude Code.

PyOpenMS is a specialized Claude Code Skill that provides an interface to the OpenMS library for computational mass spectrometry. It allows researchers and developers to handle diverse file formats, perform advanced signal processing, detect features, and identify peptides or proteins directly within their coding environment. By offering standardized patterns for LC-MS/MS pipelines, this skill streamlines complex scientific data analysis, from raw data centroiding to quantitative proteomics and untargeted metabolomics, ensuring best practices in bioinformatics and data science.

主な機能

01Advanced Signal Processing and Spectrum Smoothing Algorithms

020 GitHub stars

03Extensive File Format Support (mzML, mzXML, FASTA, TraML)

04Automated Feature Detection and Linking for Quantification

05Peptide and Protein Identification Search Engine Integration

06Seamless Export to Pandas and NumPy for Scientific Analysis

ユースケース

01Converting and normalizing raw mass spectrometry data for downstream ML models.

02Building automated proteomics data processing and quantification pipelines.

03Performing untargeted metabolomics feature annotation and alignment.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yezez9/research-agent pyopenms

For use in Claude.ai and ChatGPT