A systematic evaluation of normalization methods in quantitative label-free proteomics.

ABSTRACT: To date, mass spectrometry (MS) data remain inherently biased as a result of reasons ranging from sample handling to differences caused by the instrumentation. Normalization is the process that aims to account for the bias and make samples more comparable. The selection of a proper normalization method is a pivotal task for the reliability of the downstream analysis and results. Many normalization methods commonly used in proteomics have been adapted from the DNA microarray techniques. Previous studies comparing normalization methods in proteomics have focused mainly on intragroup variation. In this study, several popular and widely used normalization methods representing different strategies in normalization are evaluated using three spike-in and one experimental mouse label-free proteomi

SUBMITTER: Valikangas T 

PROVIDER: S-EPMC5862339 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature