CirGO: an alternative circular way of visualising gene ontology terms.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: 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.

Authors

  • Irina Kuznetsova
    Harry Perkins Institute of Medical Research, Nedlands, Western Australia, 6009, Australia. irina.kuznetsova@perkins.uwa.edu.au.
  • Artur Lugmayr
    Visualisation and Interactive Media (VisLab), Curtin University, Perth, 6102, Australia.
  • Stefan J Siira
    Harry Perkins Institute of Medical Research, Nedlands, Western Australia, 6009, Australia.
  • Oliver Rackham
    Harry Perkins Institute of Medical Research, Nedlands, Western Australia, 6009, Australia.
  • Aleksandra Filipovska
    Harry Perkins Institute of Medical Research, Nedlands, Western Australia, 6009, Australia. aleksandra.filipovska@perkins.uwa.edu.au.