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Welcome to GOrevenge!

The ever-increasing use of ontologies in modern biological analysis and interpretation facilitates a systems level understanding of the cellular procedures, their hierarchical organization and their potential interactions.

Currently, the Gene Ontology (GO) serves as a paradigm, where through the annotation of whole genomes of certain organisms, genes subsets either selected from high-throughput experiments or with an established pivotal role regarding the probed disease, can act as a starting point for the exploration of their underlying functional interconnections and the elucidation of hidden regulatory mechanisms among genes.

Reverse engineering the functional relevance of genes to specific cellular pathways and vice versa, through the exploitation of the inner structure of the ontological vocabularies, may help impart insight regarding the identification and prioritization of the critical role of specific genes.

GOrevenge is able to discriminate candidate hub-genes, implying critical biochemical cross-talk.

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This work has been supported by the EU/FP7/ICT-2007.4.4 Intelligent Content and Semantics, 'e-Laboratory for Interdisciplinary Collaborative Research in Data Mining and Data-Intensive Sciences' ( e-LICO ) project.