Package: MSstatsPTM
Type: Package
Title: Statistical Characterization of Post-translational Modifications
Version: 1.0.0
Date: 2020-09-28
Description: MSstatsPTM provides general statistical methods for quantitative 
    characterization of post-translational modifications (PTMs). 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("Tsung-Heng", "Tsai", email="tsai.tsungheng@gmail.com", role=c("aut", "cre")),
    person("Olga", "Vitek", email="o.vitek@northeastern.edu", role="aut"))
License: Artistic-2.0
Depends: R (>= 4.0)
Imports: broom, dplyr, rlang, stats, tibble, tidyr, tidyselect,
        Biostrings
Suggests: knitr, rmarkdown, testthat (>= 2.1.0), BiocStyle
VignetteBuilder: knitr
biocViews: MassSpectrometry, Proteomics, Software,
        DifferentialExpression
BugReports: https://github.com/tsunghengtsai/MSstatsPTM
Encoding: UTF-8
LazyData: true
ByteCompile: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
git_url: https://git.bioconductor.org/packages/MSstatsPTM
git_branch: RELEASE_3_12
git_last_commit: d8c642c
git_last_commit_date: 2020-10-27
Date/Publication: 2020-10-27
NeedsCompilation: no
Packaged: 2020-10-28 02:57:27 UTC; biocbuild
Author: Tsung-Heng Tsai [aut, cre],
  Olga Vitek [aut]
Maintainer: Tsung-Heng Tsai <tsai.tsungheng@gmail.com>
Built: R 4.0.3; ; 2020-10-28 14:45:15 UTC; windows
