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

doi:10.1093/bioinformatics/bts449

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 journal › Article › peer-review

115 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 language	English
Pages (from-to)	2404-2406
Number of pages	3
Journal	Bioinformatics
Volume	28
Issue number	18
Early online date	12 Jul 2009
DOIs	https://doi.org/10.1093/bioinformatics/bts449
Publication status	Published - 1 Sept 2012
Externally published	Yes

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AU - Anderson, Gordon A.

AU - Smith, Richard D.

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

Abstract

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