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Uploaded Jun 23, 2015

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PREGO Peptide Response Predictor
PREGO is a software tool that predicts high responding peptides for SRM experiments. PREGO predicts peptide responses with
an artificial neural network trained using 11 minimally redundant, maximally relevant properties. Crucial to its success,
PREGO is trained using fragment ion intensities of equimolar synthetic peptides extracted from data independent acquisition
(DIA) experiments.

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Tool Information
Organization: MacCoss Lab, University of Washington
Authors: Brian C. Searle, Jarrett D. Egertson, James G. Bollinger, Andrew B. Stergachis, Nicholas Shulman and Michael J. MacCoss