MSstatsPTM

This is the development version of MSstatsPTM; for the stable release version, see MSstatsPTM.

Statistical Characterization of Post-translational Modifications


Bioconductor version: Development (3.21)

MSstatsPTM provides general statistical methods for quantitative characterization of post-translational modifications (PTMs). Supports DDA, DIA, SRM, and tandem mass tag (TMT) labeling. Typically, the analysis involves the quantification of PTM sites (i.e., modified residues) and their corresponding proteins, as well as the integration of the quantification results. MSstatsPTM provides functions for summarization, estimation of PTM site abundance, and detection of changes in PTMs across experimental conditions.

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

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

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

Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("MSstatsPTM")

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

Documentation

Reference Manual PDF

Details

biocViews DifferentialExpression, ImmunoOncology, MassSpectrometry, Normalization, OneChannel, Proteomics, QualityControl, Software, TwoChannel
Version 2.9.0
In Bioconductor since BioC 3.12 (R-4.0) (4 years)
License Artistic-2.0
Depends R (>= 4.3)
Imports dplyr, gridExtra, stringr, stats, ggplot2, stringi, grDevices, MSstatsTMT, MSstatsConvert, MSstats, data.table, Rcpp, Biostrings, checkmate, ggrepel
System Requirements
URL
Bug Reports https://github.com/Vitek-Lab/MSstatsPTM/issues
See More
Suggests knitr, rmarkdown, tinytest, covr, mockery, testthat (>= 3.0.0)
Linking To Rcpp
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/MSstatsPTM
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MSstatsPTM
Package Short Url https://bioconductor.org/packages/MSstatsPTM/
Package Downloads Report Download Stats