iQuantitator: A tool for protein expression inference using iTRAQ |
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| Authors: | John H Schwacke Elizabeth G Hill Edward L Krug Susana Comte-Walters and Kevin L Schey |
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| Institution: | (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 |
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| 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. |
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