Assessing MS/MS Search Algorithms for Optimal Peptide Identification

Lin and co-workers (2014) have published a paper reporting a new method for assessing tandem mass spectrometry (MS/MS) search algorithms by referring to the parent-protein mass.1 Their findings should help researchers optimize peptide identification yields from the large accumulation of MS/MS data by setting correct normalization parameters for the search algorithms in use. With proteomics data, the Read the rest of this article

The post Assessing MS/MS Search Algorithms for Optimal Peptide Identification appeared first on Accelerating Science.

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