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mProphet: automated data processing and statistical validation for large-scale SRM experiments
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Journal Article
mProphet: automated data processing and statistical validation for large-scale SRM experiments
2011
Overview
mProphet, a computational tool for statistically validating selected reaction monitoring (SRM) mass spectrometry data, is described.
Selected reaction monitoring (SRM) is a targeted mass spectrometric method that is increasingly used in proteomics for the detection and quantification of sets of preselected proteins at high sensitivity, reproducibility and accuracy. Currently, data from SRM measurements are mostly evaluated subjectively by manual inspection on the basis of
ad hoc
criteria, precluding the consistent analysis of different data sets and an objective assessment of their error rates. Here we present mProphet, a fully automated system that computes accurate error rates for the identification of targeted peptides in SRM data sets and maximizes specificity and sensitivity by combining relevant features in the data into a statistical model.
Publisher
Nature Publishing Group US,Nature Publishing Group
