EVEX is a text mining resource built on top of PubMed abstracts and PubMed Central full texts. It contains over 40 million bio-molecular events among more than 76 million automatically extracted gene/protein name mentions. The text mining data further has been enriched with gene normalization results, allowing straightforward integration with external resources. Further, gene families from Ensembl and HomoloGene provide homology-based event generalizations. EVEX presents both direct and indirect associations between genes and proteins, enabling explorative browsing of relevant literature.
Van Landeghem, S., Ginter, F., Van de Peer, Y., Salakoski, T. (2011) EVEX: A PubMed-Scale Resource for Homology-Based Generalization of Text Mining Predictions. Proceedings of the 2011 Workshop on Biomedical Natural Language Processing, ACL-HLT 2011 28-37, Portland, Oregon, USA.
Van Landeghem, S., Hakala, K., Rönnqvist, S., Salakoski, T., Van de Peer, Y., Ginter, F. (2012) Exploring Biomolecular Literature with EVEX: Connecting Genes through Events, Homology and Indirect Associations. Advances in Bioinformatics 2012,582765.