Overview of the methodology. (a) Annotations from several sources are assigned to genes in the input list. (b) The apriori algorithm is applied to find sets of annotations that frequently co-occur in the input list. (c) The statistical significance of each annotation or set of concurrent annotations is calculated based on its frequency in the input and reference sets. The figure illustrates an example in which a list of yeast genes is annotated with Gene Ontology (GO) terms for 'cellular component' and KEGG pathways. In the output table only the annotations that co-occur in more than five genes are shown.

Screenshot depicting results of the analysis of yeast genes. The 'Annotation/s' column represents the Gene Ontology codes of annotations found in the list. The '# list' and '# reference' columns represent the number of genes in the input list and reference list for a given annotation, respectively. The 'Genes' column represents the set of genes in the input list showing a given annotation. The 'Description/s' column represents the textual description of annotations. CC refers to 'cellular component' and BP to 'biological process' categories. Only annotations with corrected P values ≤ 0.05 are shown. P values were calculated using the hypergeometric distribution and were corrected using the simulation-based approach.

Screenshot depicting results of the analysis of human genes. GENECODIS results from the analysis of Gene Ontology CC ('cellular component') and InterPro motifs in the human gene set. Only annotations with corrected P values ≤ 0.05 are shown.