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CirGO (Circular Gene Ontology) Software

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Prioritization of gene ontology terms from differential gene expression analyses in a two-dimensional format remains a challenge with exponentially growing data volumes. Typically, gene ontology terms are represented as tree-maps that enclose all data into defined space. However, large data sets make this type of visualisation appear cluttered and busy, and often not informative as some labels are omitted due space limits, especially when published inĀ  two-dimensional (2D) figures. We developed an open source software visualisation tool freely available on github [1] to overcome these limitations. Out publication can be found under open access on [2].

[1] I. Kuznetsova, A. Lugmayr, S. J. Siira, O. Rackham, and A. Filipovska, “CirGO: an alternative circular way of visualising gene ontology terms (GitHub): https://github.com/IrinaVKuznetsova/CirGO.”
[Bibtex]
@WWW{Lugmayr:2019:CirGo:GitHub,
  author = {Kuznetsova, Irina and Lugmayr, Artur and Siira, Stefan J. and Rackham, Oliver and Filipovska, Aleksandra},
  title  = {CirGO: an alternative circular way of visualising gene ontology terms (GitHub): https://github.com/IrinaVKuznetsova/CirGO},
  url    = {https://github.com/IrinaVKuznetsova/CirGO},
}
[2] [pdf] [doi] I. Kuznetsova, A. Lugmayr, S. J. Siira, O. Rackham, and A. Filipovska, “CirGO: an alternative circular way of visualising gene ontology terms,” BMC Bioinformatics, vol. 20, iss. 1, p. 84, 2019.
[Bibtex]
@Article{Lugmayr:2019:CirGo,
  author   = {Kuznetsova, Irina and Lugmayr, Artur and Siira, Stefan J. and Rackham, Oliver and Filipovska, Aleksandra},
  title    = {CirGO: an alternative circular way of visualising gene ontology terms},
  doi      = {10.1186/s12859-019-2671-2},
  issn     = {1471-2105},
  number   = {1},
  pages    = {84},
  url      = {https://doi.org/10.1186/s12859-019-2671-2},
  volume   = {20},
  abstract = {Prioritisation of gene ontology terms from differential gene expression
  analyses in a two-dimensional format remains a challenge with exponentially
  growing data volumes. Typically, gene ontology terms are represented
  as tree-maps that enclose all data into defined space. However, large
  datasets make this type of visualisation appear cluttered and busy,
  and often not informative as some labels are omitted due space limits,
  especially when published in two-dimensional (2D) figures.},
  day      = {18},
  file     = {:Lugmayr_2019_CirGo - CirGO_ an Alternative Circular Way of Visualising Gene Ontology Terms.pdf:PDF},
  journal  = {BMC Bioinformatics},
  month    = {Feb},
  year     = {2019},
}