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.

Getting started

Package details

AuthorThomas W. D. Möbius <kontakt@thomasmoebius.de>
MaintainerThomas W. D. Möbius <kontakt@thomasmoebius.de>
LicenseGPL-3
Version0.2
URL http://00tau.github.io/proteomics-in-r/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("proteomics")

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proteomics documentation built on May 2, 2019, 8:51 a.m.