Multi-parameter Spectral Scoring Improves Peptide Identification in Shotgun Proteomics

One of the basic requirements for analyzing shotgun proteomics data to obtain meaningful results is correctly matching the observed tandem mass spectrometric (MS/MS) spectra with theoretical values obtained from protein sequence databases. Using powerful data processing tools, the assignment of probability scores determines whether an observed peptide matches information found in a database, thus identifying it Read the rest of this article

The post Multi-parameter Spectral Scoring Improves Peptide Identification in Shotgun Proteomics appeared first on Accelerating Science.

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