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iQuantitator: A tool for protein expression inference using iTRAQ
Authors:John H Schwacke   Elizabeth G Hill   Edward L Krug   Susana Comte-Walters  Kevin L Schey
Affiliation:(1) Department of Biochemistry, Medical University of South Carolina, Charleston, South Carolina, USA;(2) Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA;(3) Department of Cell Biology and Anatomy, Medical University of South Carolina, Charleston, South Carolina, USA;(4) Department of Pharmacology, Medical University of South Carolina, Charleston, South Carolina, USA;(5) Mass Spectrometry Research Center, Vanderbilt University, Nashville, Tennessee, USA
Abstract:

Background  

Isobaric Tags for Relative and Absolute Quantitation (iTRAQ™) [Applied Biosystems] have seen increased application in differential protein expression analysis. To facilitate the growing need to analyze iTRAQ data, especially for cases involving multiple iTRAQ experiments, we have developed a modeling approach, statistical methods, and tools for estimating the relative changes in protein expression under various treatments and experimental conditions.
Keywords:
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