Benefit of In Silico Predicted Spectral Libraries in Data-Independent Acquisition Data Analysis Workflows
An Staes,
Teresa Mendes Maia,
Sara Dufour
et al.
Abstract:Data-independent acquisition (DIA) has become a well-established method for MS-based proteomics. However, the list of options to analyze this type of data is quite extensive, and the use of spectral libraries has become an important factor in DIA data analysis. More specifically the use of in silico predicted libraries is gaining more interest. By working with a differential spike-in of human standard proteins (UPS2) in a constant yeast tryptic digest background, we evaluated the sensitivity, precision, and ac… Show more
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