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Raivo Kolde, Jaak Vilo (University of Tartu, Tartu, Estonia; Broad Institute, Cambridge, USA)Functional characterisation of gene lists using Gene Ontology (GO) enrichment analysis is a common method in computational biology. There can be hundreds of functional terms that are significantly associated with a single list of genes and proper interpretation of such results can be challenging. Most of the visualisation methods are limited to the results associated with one list of genes. However, in practice the number of gene lists can be considerably higher and common tools are not effective in such situation. We introduce a novel R package GOsummaries that visualises the GO enrichment results as word clouds. These are presented in a compact, layout that also includes plots of corresponding raw experimental data. Such visual summaries allow rapid functional characterisation of complex sets of gene lists from multiple sources such as clustering, differential expression analysis or PCA. GOsummaries automatises much of the analysis, thus, is easy to apply and can give useful insights in various stages of data analysis: quality control, assessment of statistical models or final presentation of data. The package is available at Bioconductor.