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Methods for combining peptide intensities to estimate relative protein abundance
Author(s) -
Brian Carrillo,
Corey Yanofsky,
Sylvie LaBoissière,
Robert Nadon,
Robert E. Kearney
Publication year - 2009
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btp610
Subject(s) - intensity (physics) , peptide , mass spectrometry , abundance (ecology) , biological system , detector , chemistry , algorithm , analytical chemistry (journal) , mathematics , physics , biology , chromatography , optics , biochemistry , fishery
Labeling techniques are being used increasingly to estimate relative protein abundances in quantitative proteomic studies. These techniques require the accurate measurement of correspondingly labeled peptide peak intensities to produce high-quality estimates of differential expression ratios. In mass spectrometers with counting detectors, the measurement noise varies with intensity and consequently accuracy increases with the number of ions detected. Consequently, the relative variability of peptide intensity measurements varies with intensity. This effect must be accounted for when combining information from multiple peptides to estimate relative protein abundance.

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