Processes and analyzes mass spectrometry data for metabolite identification and spectral matching.
Matchms is an open-source Python library designed for the processing, filtering, and comparison of mass spectrometry data, specifically optimized for metabolomics. It enables researchers and developers to import spectra from various formats like mzML and MGF, standardize metadata using over 40 harmonization filters, and calculate spectral similarities using advanced algorithms like Cosine Greedy and Modified Cosine. This skill is ideal for building reproducible analytical pipelines to identify unknown compounds from spectral libraries, perform large-scale spectral clustering, and manage complex chemical annotations within a Claude-assisted coding environment.
主な機能
01Chemical structure derivation from SMILES, InChI, and molecular fingerprints
02Support for multiple MS formats including mzML, MGF, MSP, and JSON
03Pipeline construction for automated, large-scale spectral matching workflows
04Advanced similarity metrics including Modified Cosine and NeutralLossesCosine
050 GitHub stars
06Over 40 filters for metadata harmonization and peak intensity processing
ユースケース
01Identifying unknown metabolites by matching query spectra against reference libraries
02Cleaning and standardizing raw mass spectrometry data for scientific publication
03Building automated LC-MS/MS data processing and clustering pipelines
