Package: protti Title: Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools Version: 1.0.0 Authors@R: c(person(given = "Jan-Philipp", family = "Quast", role = c("aut", "cre"), email = "jpquast.software@gmail.com", comment = c(ORCID = "0000-0003-2713-778X")), person(given = "Dina", family = "Schuster", role = c("aut"), email = "dina.schuster@outlook.com", comment = c(ORCID = "0000-0001-6611-8237")), 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) (Feng et. al. (2014) ) 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, utils, grDevices, curl, readr, lifecycle, httr, methods, R.utils, stats RoxygenNote: 7.3.3 Suggests: testthat, covr, knitr, rmarkdown, shiny, r3dmol, proDA, limma, dendextend, pheatmap, heatmaply, furrr, future, parallel, seriation, drc, igraph, stringi, STRINGdb, iq, scales, farver, ggforce, xml2, jsonlite, missForest Depends: R (>= 4.0) URL: https://github.com/jpquast/protti, https://jpquast.github.io/protti/ BugReports: https://github.com/jpquast/protti/issues VignetteBuilder: knitr Roxygen: list(markdown = TRUE) Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev libx11-dev Repository: https://jpquast.r-universe.dev Date/Publication: 2026-01-14 17:23:56 UTC RemoteUrl: https://github.com/jpquast/protti RemoteRef: HEAD RemoteSha: ad9c7abf37e6fce6672c871c04f5e505a0647d96 NeedsCompilation: no Packaged: 2026-06-13 06:40:18 UTC; root Author: Jan-Philipp Quast [aut, cre] (ORCID: ), Dina Schuster [aut] (ORCID: ), ETH Zurich [cph, fnd] Maintainer: Jan-Philipp Quast