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

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.

Results

Here we present an open source CirGO (Circular Gene Ontology) software that visualises non-redundant two-level hierarchically structured ontology terms from gene expression data in a 2D space. Gene ontology terms based on statistical significance were summarised with a semantic si

SUBMITTER: Kuznetsova I 

PROVIDER: S-EPMC6380029 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature