To cite the MSnbase package in publications use:

Laurent Gatto and Kathryn S. Lilley. MSnbase - an R/Bioconductor package for isobaric tagged mass spectrometry data visualization, processing and quantitation. Bioinformatics 28, 288-289 (2012).

Laurent Gatto, Sebastien Gibb and Johannes Rainer. MSnbase, efficient and elegant R-based processing and visualisation of raw mass spectrometry data. bioRxiv 2020.04.29.067868; doi: https://doi.org/10.1101/2020.04.29.067868 (2020).

Corresponding BibTeX entries:

  @Article{,
    title = {MSnbase - an R/Bioconductor package for isobaric tagged
      mass spectrometry data visualization, processing and
      quantitation},
    author = {Laurent Gatto and Kathryn Lilley},
    journal = {Bioinformatics},
    year = {2012},
    volume = {28},
    pages = {288-289},
  }

  @Article{,
    title = {MSnbase, efficient and elegant R-based processing and
      visualisation of raw mass spectrometry data},
    author = {Laurent Gatto and Sebastian Gibb and Johannes Rainer},
    journal = {bioRxiv},
    year = {2020},
  }