proteomics: Statistical Analysis of High Throughput Proteomics Data

Provides methods for making inference in isobaric labelled LC-MS/MS experiments, i.e. iTRAQ experiments. It provides a function that reasonably parses a CSV-export from Proteome Discoverer(TM) into a data frame that can be easily handled in R. Functions and methods are provided for quality control, filtering, norming, and the calculation of response variables for further analysis. The merging of multiple iTRAQ experiments with respect to a reference is also covered.

Version: 0.2
Imports: plyr, reshape2, ggplot2, foreach
Published: 2014-11-22
Author: Thomas W. D. Möbius
Maintainer: Thomas W. D. Möbius <kontakt at>
License: GPL-3
NeedsCompilation: no
CRAN checks: proteomics results


Reference manual: proteomics.pdf
Package source: proteomics_0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: proteomics_0.2.tgz, r-oldrel: proteomics_0.2.tgz


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