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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "ProtE" in publications use:'
type: software
license: MIT
title: 'ProtE: Processing Proteomics Data, Statistical Analysis and Visualization'
version: 1.0.3
doi: 10.32614/CRAN.package.ProtE
abstract: 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) <https://doi.org/10.1038/nbt.1511>), 'DIA-NN' (Demichev et al.,
  (2020) <https://doi.org/10.1038/s41592-019-0638-x>), and 'Proteome Discoverer' (Thermo
  Fisher Scientific, version 2.5). The package leverages 'ggplot2' for visualization
  (Wickham, (2016) <https://doi.org/10.1007/978-3-319-24277-4>) and 'limma' for statistical
  analysis (Ritchie et al., (2015) <https://doi.org/10.1093/nar/gkv007>).
authors:
- family-names: Margelos
  given-names: Theodoros
  email: ted.margelos02@gmail.com
repository: https://theomargel.r-universe.dev
repository-code: https://github.com/theomargel/ProtE
commit: e8e51e5bde3ce08fe6b1dd32cd4b2e4d605b2efb
url: https://github.com/theomargel/ProtE
contact:
- family-names: Margelos
  given-names: Theodoros
  email: ted.margelos02@gmail.com