DanteR: An extensible R-based tool for quantitative analysis of -omics data

Abstract

Motivation: The size and complex nature of mass spectrometry-based proteomics datasets motivate development of specialized soft-ware for statistical data analysis and exploration. We present DanteR, a graphical R package that features extensive statistical and diagnostic functions for quantitative proteomics data analysis, including normalization, imputation, hypothesis testing, interactive visualization and peptide-to-protein rollup. More importantly, users can easily extend the existing functionality by including their own algorithms under the Add-On tab. © The Author 2012. Published by Oxford University Press. All rights reserved.