MSstatsTMTPTM

This package is for version 3.13 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see MSstatsTMTPTM.

Post Translational Modification (PTM) Significance Analysis in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling

DOI: 10.18129/B9.bioc.MSstatsTMTPTM

Bioconductor version: 3.13

Tools for Post Translational Modification (PTM) and protein significance analysis in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling. The functions in this package should be used after PTM/protein summarization. They can be used to both plot the summarized results and model the summarized datasets.

Author: Devon Kohler [aut, cre], Ting Huang [aut], Mateusz Staniak [aut], Meena Choi [aut], Tsung-Heng Tsai [aut], Olga Vitek [aut]

Maintainer: Devon Kohler <kohler.d at northeastern.edu>

Citation (from within R, enter citation("MSstatsTMTPTM")):

Installation

To install this package, start R (version "4.1") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
BiocManager::install("MSstatsTMTPTM")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("MSstatsTMTPTM")

MSstatsTMTPTM : A package for post translational modification (PTM) significance analysis in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling HTML R Script

MSstatsTMTPTM.Workflow.html HTML R Script

Reference Manual PDF

NEWS Text

Need some help? Ask on the Bioconductor Support site!