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

Tom Taverner, Yuliya V. Karpievitch, Ashoka D. Polpitiya, Joseph N. Brown, Alan R. Dabney, Gordon A. Anderson, Richard D. Smith

Research output: Contribution to journalArticle

94 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)2404-2406
Number of pages3
JournalBioinformatics
Volume28
Issue number18
Early online date12 Jul 2009
DOIs
Publication statusPublished - 1 Sep 2012
Externally publishedYes

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