Package: protti
Title: Bottom-Up Proteomics and LiP-MS Quality Control and Data
        Analysis Tools
Version: 0.1.0
Authors@R: 
    c(person(given = "Jan-Philipp",
           family = "Quast",
           role = c("aut", "cre"),
           email = "quast@imsb.biol.ethz.ch"),
	person(given = "Dina",
           family = "Schuster",
           role = c("aut"),
           email = "dschuster@ethz.ch"),
	person(given = "ETH Zurich",
           role = c("cph", "fnd")))
Description: Useful functions and workflows for proteomics quality control and data analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS) (Schopper et al. (2017) <doi:10.1038/nprot.2017.100>) and regular bottom-up proteomics experiments. Data generated with search tools such as 'Spectronaut', 'MaxQuant' and 'Proteome Discover' can be easily used due to flexibility of functions.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
biocViews:
Imports: rlang, dplyr, stringr, magrittr, data.table, janitor,
        progress, purrr, tidyr, ggplot2, forcats, tibble, plotly,
        ggrepel, methods, utils, grDevices
RoxygenNote: 7.1.1
Suggests: testthat, covr, knitr, rmarkdown, proDA, limma, dendextend,
        pheatmap, heatmaply, viridis, iq, furrr, future, parallel,
        seriation, drc, naniar, httr, igraph, stringi, STRINGdb
Depends: R (>= 4.0)
URL: https://github.com/jpquast/protti,
        https://jpquast.github.io/protti/
BugReports: https://github.com/jpquast/protti/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-21 17:16:14 UTC; jan-philippquast
Author: Jan-Philipp Quast [aut, cre],
  Dina Schuster [aut],
  ETH Zurich [cph, fnd]
Maintainer: Jan-Philipp Quast <quast@imsb.biol.ethz.ch>
Repository: CRAN
Date/Publication: 2021-04-23 08:00:02 UTC
