bio-metabolomics-lipidomics
Specialized lipidomics analysis for lipid identification, quantification, and pathway interpretation. Covers LC-MS lipidomics with LipidSear…
Maintainer K-Dense Inc. · Last updated April 1, 2026
Matchms is an open-source Python library for mass spectrometry data processing and analysis. Import spectra from various formats, standardi.
Original source
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/matchms
Skill Snapshot
Source Doc
Load spectra from multiple file formats and export processed data:
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
## Export processed spectra
save_as_mgf(spectra, "output.mgf")
save_as_json(spectra, "output.json")
Supported formats:
For detailed importing/exporting documentation, consult references/importing_exporting.md.
Apply comprehensive filters to standardize metadata and refine peak data:
from matchms.filtering import default_filters, normalize_intensities
from matchms.filtering import select_by_relative_intensity, require_minimum_number_of_peaks
Related skills
Specialized lipidomics analysis for lipid identification, quantification, and pathway interpretation. Covers LC-MS lipidomics with LipidSear…
Metabolite identification from m/z and retention time. Covers database matching, MS/MS spectral matching, and confidence level assignment. U…
MS-DIAL-based metabolomics preprocessing as alternative to XCMS. Covers peak detection, alignment, annotation, and export for downstream ana…
Targeted metabolomics analysis using MRM/SRM with standard curves. Covers absolute quantification, method validation, and quality assessment…