Nat Methods. 2011 May;8(5):430-5. Epub 2011 Mar 20.

mProphet: automated data processing and statistical validation for large-scale SRM experiments.

Reiter L, Rinner O, Picotti P, Hüttenhain R, Beck M, Brusniak MY, Hengartner MO, Aebersold R.

Source

Biognosys AG, Zurich, Switzerland.

Abstract

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.

PMID:: 21423193; [PubMed - indexed for MEDLINE]

Publication Types, MeSH Terms, Substances, Grant Support

Publication Types

MeSH Terms

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Peptides

Grant Support

N01-HV-28179/HV/NHLBI NIH HHS/United States

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