CONSTANd : A Normalization Method for Isobaric Labeled Spectra by Constrained Optimization.

ABSTRACT: In quantitative proteomics applications, the use of isobaric labels is a very popular concept as they allow for multiplexing, such that peptides from multiple biological samples are quantified simultaneously in one mass spectrometry experiment. Although this multiplexing allows that peptide intensities are affected by the same amount of instrument variability, systematic effects during sample preparation can also introduce a bias in the quantitation measurements. Therefore, normalization methods are required to remove this systematic error. At present, a few dedicated normalization methods for isobaric labeled data are at hand. Most of these normalization methods include a framework for statistical data analysis and rely on ANOVA or linear mixed models. However, for swift quality control o

SUBMITTER: Maes E 

PROVIDER: S-EPMC4974351 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature