To cite propr in publications use:

Quinn TP, Erb I, Gloor G, Notredame C, Richardson MF, Crowley TM (2019). “A field guide for the compositional analysis of any-omics data.” GigaScience, 8(9).

Quinn T, Erb I, Richardson MF, Crowley T (2018). “Understanding sequencing data as compositions: an outlook and review.” Bioinformatics, 34(16).

Erb I, Quinn T, Lovell D, Notredame C (2017). “Differential Proportionality - A Normalization-Free Approach To Differential Gene Expression.” Proceedings of CoDaWork 2017, The 7th Compositional Data Analysis Workshop; available under bioRxiv 134536.

Quinn T, Richardson MF, Lovell D, Crowley T (2017). “propr: An R-package for Identifying Proportionally Abundant Features Using Compositional Data Analysis.” Scientific Reports, 7(16252).

Erb I, Notredame C (2016). “How should we measure proportionality on relative gene expression data?” Theory in Biosciences, 135(1).

Lovell D, Pawlowsky-Glahn V, Egozcue JJ, Marguerat S, Bahler J (2015). “Proportionality: A Valid Alternative to Correlation for Relative Data.” PLoS Computational Biology, 11(3).

Corresponding BibTeX entries:

  @Article{,
    title = {A field guide for the compositional analysis of any-omics
      data},
    author = {Thomas P Quinn and Ionas Erb and Greg Gloor and Cedric
      Notredame and Mark F Richardson and Tamsyn M Crowley},
    journal = {GigaScience},
    year = {2019},
    volume = {8},
    number = {9},
  }

  @Article{,
    title = {Understanding sequencing data as compositions: an outlook
      and review},
    author = {Thomas Quinn and Ionas Erb and Mark F. Richardson and
      Tamsyn Crowley},
    journal = {Bioinformatics},
    year = {2018},
    volume = {34},
    number = {16},
  }

  @Article{,
    title = {Differential Proportionality - A Normalization-Free
      Approach To Differential Gene Expression},
    author = {Ionas Erb and Thomas Quinn and David Lovell and Cedric
      Notredame},
    journal = {Proceedings of CoDaWork 2017, The 7th Compositional Data
      Analysis Workshop; available under bioRxiv 134536},
    year = {2017},
  }

  @Article{,
    title = {propr: An R-package for Identifying Proportionally
      Abundant Features Using Compositional Data Analysis},
    author = {Thomas Quinn and Mark F. Richardson and David Lovell and
      Tamsyn Crowley},
    journal = {Scientific Reports},
    year = {2017},
    volume = {7},
    number = {16252},
  }

  @Article{,
    title = {How should we measure proportionality on relative gene
      expression data?},
    author = {Ionas Erb and Cedric Notredame},
    journal = {Theory in Biosciences},
    year = {2016},
    volume = {135},
    number = {1},
  }

  @Article{,
    title = {Proportionality: A Valid Alternative to Correlation for
      Relative Data},
    author = {David Lovell and Vera Pawlowsky-Glahn and Juan Jose
      Egozcue and Samuel Marguerat and Jurg Bahler},
    journal = {PLoS Computational Biology},
    year = {2015},
    volume = {11},
    number = {3},
  }