Please cite the articles below for the 'GeneTonic' software itself, or
its usage in combined workflows with the 'pcaExplorer' or 'ideal'
software packages:

  Federico Marini, Annekathrin Ludt, Jan Linke, Konstantin Strauch
  (2021). GeneTonic: an R/Bioconductor package for streamlining the
  interpretation of RNA-seq data. BMC Bioinformatics, 22, 610,
  <doi:10.1186/s12859-021-04461-5> <doi:10.18129/B9.bioc.GeneTonic>.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {GeneTonic: an R/Bioconductor package for streamlining the interpretation of RNA-seq data},
    journal = {BMC Bioinformatics},
    author = {Federico Marini and Annekathrin Ludt and Jan Linke and Konstantin Strauch},
    volume = {22},
    pages = {610},
    year = {2021},
    doi = {10.1186/s12859-021-04461-5},
    url = {https://bioconductor.org/packages/GeneTonic/},
  }

  Annekathrin Ludt, Arsenij Ustjanzew, Harald Binder, Konstantin
  Strauch, Federico Marini (2022). Interactive and Reproducible
  Workflows for Exploring and Modeling RNA-seq Data with pcaExplorer,
  ideal, and GeneTonic. Current Protocols, 2 (4), e411,
  <doi:10.1002/cpz1.411>.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {Interactive and Reproducible Workflows for Exploring and Modeling RNA-seq Data with pcaExplorer, ideal, and GeneTonic},
    journal = {Current Protocols},
    author = {Annekathrin Ludt and Arsenij Ustjanzew and Harald Binder and Konstantin Strauch and Federico Marini},
    volume = {2},
    number = {4},
    pages = {e411},
    year = {2022},
    month = {Apr},
    doi = {10.1002/cpz1.411},
  }