To cite package 'pRoloc' in publications use:

Gatto L, Breckels LM, Wieczorek S, Burger T, Lilley KS. Mass-spectrometry-based spatial proteomics data analysis using pRoloc and pRolocdata. Bioinformatics. 2014 May 1;30(9):1322-4.<doi:10.1093/bioinformatics/btu013>. Epub 2014 Jan 11. PubMed PMID: 24413670; PubMed Central PMCID: PMC3998135.

Breckels LM, Gatto L, Christoforou A, Groen AJ, Lilley KS, Trotter MW. The effect of organelle discovery upon sub-cellular protein localisation. J Proteomics. 2013 Mar 21.<doi:pii>: S1874-3919(13)00094-8. 10.1016/j.jprot.2013.02.019. PubMed PMID: 23523639.

Gatto L., Breckels L.M., Burger T, Nightingale D.J.H., Groen A.J., Campbell C., Mulvey C.M., Christoforou A., Ferro M., Lilley K.S. 'A foundation for reliable spatial proteomics data analysis' Mol Cell Proteomics. 2014 May 20.

Breckels LM, Holden SB, Wojnar D, Mulvey CM, Christoforou A, Groen A, Trotter MW Kohlbacher O, Lilley KS, Gatto L. Learning from Heterogeneous Data Sources: An Application in Spatial Proteomics. PLoS Comput Biol. 2016 May 13;12(5):e1004920.<doi:10.1371/journal.pcbi.1004920>.

Crook OM, Breckels LM, Lilley KS, Kirk PWD, Gatto L. A Bioconductor workflow for the Bayesian analysis of spatial proteomics [version 1; peer review: awaiting peer review]. F1000Research 2019, 8:446 (https://doi.org/10.12688/f1000research.18636.1)

Hutchings C, Krueger T, Crook OM, Gatto L, Lilley KS, Breckels LM. An updated Bioconductor workflow for correlation profiling subcellular proteomics [version 1; peer review: 3 approved]. F1000Research 2025, 14:714 (https://doi.org/10.12688/f1000research.165543.1)

Corresponding BibTeX entries:

  @Article{,
    title = {Mass-spectrometry based spatial proteomics data analysis
      using pRoloc and pRolocdata},
    author = {Laurent Gatto and Lisa M. Breckels and Samuel Wieczorek
      and Thomas Burger and Kathryn S. Lilley},
    journal = {Bioinformatics},
    year = {2014},
  }

  @Article{,
    title = {The effect of organelle discovery upon sub-cellular
      protein localisation},
    author = {Lisa M. Breckels and Laurent Gatto and Andy Christoforou
      and Arnoud J. Groen and Kathryn S. Lilley and Matthew W.
      Trotter},
    journal = {J Proteomics},
    year = {2013},
  }

  @Article{,
    title = {A foundation for reliable spatial proteomics data
      analysis},
    author = {Laurent Gatto and Lisa M. Breckels and Thomas Burger and
      Daniel J. Nightingale and Arnoud J. Groen and Callum Campbell and
      Claire M. Mulvey and Andy Christroforou and Myriam Ferro and
      Kathryn S. Lilley},
    journal = {Mol Cell Proteomics},
    year = {2014},
  }

  @Article{,
    title = {Learning from heterogeneous data sources: an application
      in spatial proteomics},
    author = {Lisa M. Breckels and Sean Holden and David Wonjar and
      Claire M. Mulvey and Andy Christoforou and Arnoud Groen and
      Matthew W.B. Trotter and Oliver Kohlbacker and Kathryn S. Lilley
      and Laurent Gatto},
    journal = {PLoS Comput Biol},
    year = {2016},
  }

  @Article{,
    title = {A Bioconductor workflow for the Bayesian analysis of
      spatial proteomics},
    author = {Oliver M. Crook and Lisa M. Breckels and Kathryn S.
      Lilley and Paul D.W. Kirk and Laurent Gatto},
    journal = {F1000Research},
    year = {2019},
  }

  @Article{,
    title = {An updated Bioconductor workflow for correlation profiling
      subcellular proteomics},
    author = {Charlotte Hutchings and Thomas Krueger and Oliver M.
      Crook and Laurent Gatto and Kathryn S. Lilley and Lisa M.
      Breckels},
    journal = {F1000Research},
    year = {2025},
  }