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Journal ArticleDOI

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

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TLDR
In this article, the authors 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.
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.

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Citations
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Dissertation

Digital data heritage preservation (DHP) modelling and design

TL;DR: Motto: ’When the origin and heritage of data are lost, data has no meaning’
Journal ArticleDOI

Plasma preparation to measure FDA-approved protein markers by selected reaction monitoring

TL;DR: It was shown that commercially designed SRM kits are suitable for SRM detection of well-established plasma/serum biomarkers.
Journal ArticleDOI

Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam principles)

TL;DR: The historic precedents, key discussions, and necessary next steps to enhance the quality of open access data are explored, including an evolving list of comprehensive quality metrics and standards accompanied by software analytics.
Book ChapterDOI

Prediction of Antioxidant Status in Fish Farmed on Selenium Nanoparticles using Neural Network Regression Algorithm

TL;DR: The effect of the different concentrations of Nano-selenium in the diet on the antioxidant status of common carp was investigated through the estimation of antioxidant enzymes activity and some biochemical blood prole to build preliminary prediction models to know the antioxidants status activity.
Patent

Method for analysis of samples in targeted proteomics applications, computer program product and set of reference peptides

TL;DR: In this article, the authors proposed a method for polypeptide analysis based on indexed retention time as peptide specific property and applied it to the analysis of compounds with mass spectrometry.
References
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Journal ArticleDOI

Statistical significance for genomewide studies

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Journal ArticleDOI

Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.

TL;DR: SILAC is a simple, inexpensive, and accurate procedure that can be used as a quantitative proteomic approach in any cell culture system and is applied to the relative quantitation of changes in protein expression during the process of muscle cell differentiation.
Journal ArticleDOI

Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

TL;DR: A statistical model is presented to estimate the accuracy of peptide assignments to tandem mass (MS/MS) spectra made by database search applications such as SEQUEST, demonstrating that the computed probabilities are accurate and have high power to discriminate between correctly and incorrectly assigned peptides.
Journal ArticleDOI

A statistical model for identifying proteins by tandem mass spectrometry.

TL;DR: A statistical model is presented for computing probabilities that proteins are present in a sample on the basis of peptides assigned to tandem mass (MS/MS) spectra acquired from a proteolytic digest of the sample, and it is shown to produce probabilities that are accurate and have high power to discriminate correct from incorrect protein identifications.
Journal ArticleDOI

Skyline: an open source document editor for creating and analyzing targeted proteomics experiments

TL;DR: The Skyline user interface simplifies the development of mass spectrometer methods and the analysis of data from targeted proteomics experiments performed using selected reaction monitoring (SRM).
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