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Key Tools Used in Data Analysis Automated sequencing software Rapidly processes MS/MS spectra to propose peptide sequences and identify fragments Spectral libraries Enable comparison with known peptide fragmentation patterns for faster identification Manual verification Critical step to confirm software-generated results and eliminate false positives Best Practices for Reliable Interpretation Cross-check fragmentation patterns Validate the presence of expected b-ions and y-ions for sequence confirmation Validate with theoretical spectra Compare experimental data with predicted fragmentation patterns Confirm PTMs using high-resolution data Detect subtle mass shifts and accurately localize modifications Use multiple data analysis approaches Combine automated tools with expert review for higher confidence 9: Applications in Pharmaceutical Development Peptide Sequencing of GLP-1 Peptide is widely applied in pharmaceutical development to ensure drug quality, safety, efficacy, and regulatory compliance throughout the product lifecycle

Clearly, markets are concerned about Novos ability to keep up the sales growth of its GLP-1 when an apparently superior treatment exists

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