Interpretation of gene lists from high-throughput studies needs capable and convenient tools based on most up-to-date data. There are a several functional enrichment analysis tools such as Enrichr (1), WebGestalt (2), Metascape (3), KOBAS (4) and AgriGO (5) suitable for positioning the novel findings against the body of previous knowledge. The landscape of enrichment analysis tools is diverse covering different data sources, species, identifier types and methods. While the majority of services provide mappings to the most widely used knowledge resource Gene Ontology (GO) (6), the selection of other data sources varies between the tools. For example, Human Phenotype Ontology (7) is available in Enrichr, WebGestalt, Metascape and g:Profiler (1–3,8), while mirTarBase miRNA target information is included only in a few tools, e.g. Enrichr and g:Profiler (1,8). There are also services that focus on specific species, e.g. AgriGO provides data mostly about plants (5).
