ProtE: Processing Proteomics Data, Statistical Analysis and Visualization

The 'Proteomics Eye' ('ProtE') offers a comprehensive and intuitive framework for the univariate analysis of label-free proteomics data. By integrating essential data wrangling and processing steps into a single function, 'ProtE' streamlines pairwise statistical comparisons for categorical variables. It provides quality checks and generates publication-ready visualizations, enabling efficient and robust data analysis. 'ProtE' is compatible with proteomics data outputs from 'MaxQuant' (Cox & Mann, (2008) <doi:10.1038/nbt.1511>), 'DIA-NN' (Demichev et al., (2020) <doi:10.1038/s41592-019-0638-x>), and 'Proteome Discoverer' (Thermo Fisher Scientific, version 2.5). The package leverages 'ggplot2' for visualization (Wickham, (2016) <doi:10.1007/978-3-319-24277-4>) and 'limma' for statistical analysis (Ritchie et al., (2015) <doi:10.1093/nar/gkv007>).

Version: 1.0.1
Depends: R (≥ 2.10)
Imports: dplyr, circlize, vegan, UniProt.ws, stringr, missRanger, vsn, car, openxlsx, tidyr, broom, reshape2, ggpubr, ggplot2, VIM, forcats, grDevices, grid, limma, ComplexHeatmap
Suggests: BiocManager, rmarkdown, knitr
Published: 2025-01-15
DOI: 10.32614/CRAN.package.ProtE
Author: Theodoros Margelos [aut, cre, cph], Rafael Stroggilos [ctb, cph]
Maintainer: Theodoros Margelos <ted.margelos02 at gmail.com>
BugReports: https://github.com/theomargel/ProtE/issues
License: MIT + file LICENSE
URL: https://github.com/theomargel/ProtE
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: ProtE results

Documentation:

Reference manual: ProtE.pdf
Vignettes: ProtE Workflow (source)
Introduction to ProtE (source, R code)

Downloads:

Package source: ProtE_1.0.1.tar.gz
Windows binaries: r-devel: not available, r-release: ProtE_1.0.1.zip, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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