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Package: MSstatsPTM
Type: Package
Title: Statistical Characterization of Post-translational Modifications
Version: 2.11.4
Date: 2024-11-25
Description: 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.
Authors@R: c(
person("Devon", "Kohler", email = "kohler.d@northeastern.edu", role = c("aut")),
person("Tsung-Heng", "Tsai", email="tsai.tsungheng@gmail.com", role=c("aut")),
person("Anthony", "Wu", email = "wu.anthon@northeastern.edu", role = c("aut", "cre")),
person("Deril", "Raju", email = "raju.d@northeastern.edu", role = "aut"),
person("Ting", "Huang", email = "thuang0703@gmail.com", role=c("aut")),
person("Mateusz", "Staniak", email = "mtst@mstaniak.pl", role = c("aut")),
person("Meena", "Choi", email = "mnchoi67@gmail.com", role="aut"),
person("Olga", "Vitek", email = "o.vitek@northeastern.edu", role = "aut"))
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, plotly, htmltools
Suggests:
knitr,
rmarkdown,
tinytest,
covr,
mockery,
testthat (>= 3.0.0)
LazyData: true
LinkingTo: Rcpp
VignetteBuilder: knitr
biocViews: ImmunoOncology, MassSpectrometry, Proteomics, Software, DifferentialExpression,
OneChannel, TwoChannel, Normalization, QualityControl
BugReports: https://github.com/Vitek-Lab/MSstatsPTM/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Config/testthat/edition: 3