matchms

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Spectral similarity and compound identification for metabolomics. Use for comparing mass spectra, computing similarity scores (cosine, modified cosine), and identifying unknown compounds from spectral libraries. Best for metabolite identification, spectral matching, library searching. For full LC-MS/MS proteomics pipelines use pyopenms.

AI & Automation 2,210 stars 164 forks Updated 1 weeks ago Apache-2.0

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Skill Content

# Matchms ## Overview Matchms is an open-source Python library for mass spectrometry data processing and analysis. Import spectra from various formats, standardize metadata, filter peaks, calculate spectral similarities, and build reproducible analytical workflows. ## Core Capabilities ### 1. Importing and Exporting Mass Spectrometry Data Load spectra from multiple file formats and export processed data: ```python from matchms.importing import load_from_mgf, load_from_mzml, load_from_msp, load_from_json from matchms.exporting import save_as_mgf, save_as_msp, save_as_json # Import spectra spectra = list(load_from_mgf("spectra.mgf")) spectra = list(load_from_mzml("data.mzML")) spectra = list(load_from_msp("library.msp")) # Export processed spectra save_as_mgf(spectra, "output.mgf") save_as_json(spectra, "output.json") ``` **Supported formats:** - mzML and mzXML (raw mass spectrometry formats) - MGF (Mascot Generic Format) - MSP (spectral library format) - JSON (GNPS-compatible) - metabolomics-USI references - Pickle (Python serialization) For detailed importing/exporting documentation, consult `references/importing_exporting.md`. ### 2. Spectrum Filtering and Processing Apply comprehensive filters to standardize metadata and refine peak data: ```python from matchms.filtering import default_filters, normalize_intensities from matchms.filtering import select_by_relative_intensity, require_minimum_number_of_peaks # Apply default metadata harmonization filters spectru...

Details

Author
foryourhealth111-pixel
Repository
foryourhealth111-pixel/Vibe-Skills
Created
3 months ago
Last Updated
1 weeks ago
Language
Python
License
Apache-2.0

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