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Package: MSstatsPTM | ||
Type: Package | ||
Title: Statistical Characterization of Post-translational Modifications | ||
Version: 2.5.1 | ||
Date: 2023-11-01 | ||
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 = "[email protected]", role = c("aut", "cre")), | ||
person("Tsung-Heng", "Tsai", email="[email protected]", role=c("aut")), | ||
person("Ting", "Huang", email = "[email protected]", role=c("aut")), | ||
person("Mateusz", "Staniak", email = "[email protected]", role = c("aut")), | ||
person("Meena", "Choi", email = "[email protected]", role="aut"), | ||
person("Olga", "Vitek", email = "[email protected]", role = "aut")) | ||
License: Artistic-2.0 | ||
Depends: R (>= 4.2) | ||
Imports: dplyr, gridExtra, stringr, stats, ggplot2, stringi, | ||
grDevices, MSstatsTMT, MSstatsConvert, MSstats, | ||
data.table, Rcpp, Biostrings, checkmate, ggrepel | ||
Suggests: knitr, rmarkdown, tinytest, covr | ||
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: 7.2.3 | ||
Package: MSstatsPTM | ||
Type: Package | ||
Title: Statistical Characterization of Post-translational Modifications | ||
Version: 2.5.2 | ||
Date: 2023-11-01 | ||
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 = "[email protected]", role = c("aut", "cre")), | ||
person("Tsung-Heng", "Tsai", email="[email protected]", role=c("aut")), | ||
person("Ting", "Huang", email = "[email protected]", role=c("aut")), | ||
person("Mateusz", "Staniak", email = "[email protected]", role = c("aut")), | ||
person("Meena", "Choi", email = "[email protected]", role="aut"), | ||
person("Olga", "Vitek", email = "[email protected]", role = "aut")) | ||
License: Artistic-2.0 | ||
Depends: R (>= 4.2) | ||
Imports: dplyr, gridExtra, stringr, stats, ggplot2, stringi, | ||
grDevices, MSstatsTMT, MSstatsConvert, MSstats, | ||
data.table, Rcpp, Biostrings, checkmate, ggrepel | ||
Suggests: knitr, rmarkdown, tinytest, covr | ||
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: 7.2.3 |