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The PyOpenMS skill empowers Claude to perform sophisticated computational mass spectrometry analysis. It provides deep integration with the OpenMS library, enabling automated workflows for handling diverse file formats like mzML and FASTA, performing signal processing, detecting features, and identifying peptides or proteins. This skill is ideal for researchers and bioinformaticians who need to process LC-MS/MS data, apply False Discovery Rate (FDR) filtering, or conduct untargeted metabolomics studies while leveraging the power of the scientific Python ecosystem including Pandas, NumPy, and Scikit-learn.
