iTRAQPak: an R based analysis and visualization package for 8-plex isobaric protein expression data
Author(s) -
Marcello D’Ascenzo,
Leila H. Choe,
Kelvin H. Lee
Publication year - 2008
Publication title -
briefings in functional genomics and proteomics
Language(s) - English
Resource type - Journals
eISSN - 1477-4062
pISSN - 1473-9550
DOI - 10.1093/bfgp/eln007
Subject(s) - isobaric process , protein expression , computational biology , isobaric labeling , visualization , proteomics , quantitative proteomics , r package , expression (computer science) , computer science , biology , bioinformatics , data mining , biochemistry , computational science , physics , gene , thermodynamics , programming language
The field of high throughput proteomics has spawned a number of mass spectrometry-based technologies, which enable the quantitative analysis of protein expression. One of these technologies is iTRAQ (trademarked by Applied Biosystems), which through the use of isobaric tags, enables the quantitation of up to eight complex protein samples in a single multiplexed analysis. Isobaric tagging methods are emerging as an important tool to study protein expression dynamics. In this report, we describe iTRAQPak, a free software package developed in the R statistical and visualization environment that can be applied to the analysis of 8-plex expression data. The utility of this package is demonstrated through its application to the analysis of 8-plex iTRAQ protein expression data obtained from cerebrospinal fluid samples from Alzheimer's disease subjects involved in a Phase I drug trial.
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