doi:10.1038/nbt.2999>) 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.">

protti: Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools (original) (raw)

Useful functions and workflows for proteomics quality control and data analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS) (Feng et. al. (2014) <doi:10.1038/nbt.2999>) 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.

Version: 0.9.1
Depends: R (≥ 4.0)
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
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
Published: 2024-10-21
DOI: 10.32614/CRAN.package.protti
Author: Jan-Philipp Quast ORCID iD [aut, cre], Dina Schuster ORCID iD [aut], ETH Zurich [cph, fnd]
Maintainer: Jan-Philipp Quast
BugReports: https://github.com/jpquast/protti/issues
License: MIT + file
URL: https://github.com/jpquast/protti,https://jpquast.github.io/protti/
NeedsCompilation: no
Citation: protti citation info
Materials: README, NEWS
In views: Omics
CRAN checks: protti results

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