MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics
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DOI: 10.1021/acs.jproteome.1c00796
Abstract: Data-independent acquisition-mass spectrometry (DIA-MS) is the method of choice for deep, consistent, and accurate single-shot profiling in bottom-up proteomics. While classic workflows for targeted quantification from DIA-MS data require auxiliary data-dependent acquisition (DDA) MS analysis… read more here.
Keywords: spectral libraries; data independent; optimized predicted; dia ... See more keywords