What’s in a Name? MS Amanda: An Algorithm Optimized for High-Accuracy MS/MS

Interpretation of mass spectrometry proteomics data requires careful matching of spectral results, fragment mass-to-charge ratios, and intensities to probable candidate peptides. Scoring algorithms such as Mascot, SEQUEST and XTandem do most of this heavy work by generating peptide spectrum matches (PSMs). By means of increased processing speeds in conjunction with reduced data read times, entire proteomes can Read the rest of this article

The post What’s in a Name? MS Amanda: An Algorithm Optimized for High-Accuracy MS/MS appeared first on Accelerating Science.

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