What file formats can Matchms handle within Claude Code?

Matchms supports a wide variety of formats including mzML, mzXML, MGF (Mascot Generic Format), MSP (spectral library), and GNPS-compatible JSON.

Can I use Matchms to build automated processing pipelines?

Absolutely. Matchms includes a SpectrumProcessor class designed specifically for creating reproducible, multi-step analysis workflows.

How does Matchms calculate spectral similarity?

It provides several metrics including CosineGreedy, ModifiedCosine (which accounts for precursor mass differences), and NeutralLossesCosine.

Does this skill support chemical structure analysis?

Yes, Matchms can derive chemical information like InChI and InChIKeys from SMILES and calculate structural similarity using molecular fingerprints.

Mass Spectrometry Analysis (Matchms)

Name: Mass Spectrometry Analysis (Matchms)
Author: plurigrid

byplurigrid

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데이터 과학 및 ML

Processes mass spectrometry data, standardizes metadata, and calculates spectral similarities for metabolomics workflows.

The Matchms skill brings advanced mass spectrometry data processing capabilities to Claude Code. It enables researchers and data scientists to import spectra from diverse formats like mzML and MGF, apply complex filtering sequences, and perform high-accuracy spectral similarity comparisons. By automating metadata harmonization and chemical structure derivation (SMILES/InChI), it streamlines the creation of reproducible metabolomics pipelines and library matching tasks, making it an essential tool for computational chemistry and analytical science.