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Semantic mining of phenotype associations from the biomedical literature


"Genetic dispositions play an important role in numerous diseases with high relevance to the general public such as Alzheimer's disease, diabetes and multiple sclerosis. Researchers have employed high throughput experiments to discover evidence for the causes and propose novel treatments and cures. This however has led to an explosion in the quantity of primary literature which again needs to be integrated into the discovery process either by increased human efforts or by IT solutions directly delivering the content into a public database. We consider that the phenotype data resources as well as the available text processing solutions are now mature enough to automatically mine the biomedical literature . PHENOMINER's major contribution will be to exploit state-of-the-art text processing solutions with existing ontological resources to collect fragmented biological results about the molecular mechanisms of heritable diseases and to integrate the data into a machine understandable semantic representation for sharing with the community in a public database. The new database will allow results to be immediately available to the bioinformatics community for integration with ongoing laboratory work."

Call for proposal

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Funding Scheme

MC-IIF - International Incoming Fellowships (IIF)


Meyerhofstrasse 1
69117 Heidelberg
Activity type
Research Organisations
EU contribution
€ 278 807,40
Administrative Contact
Nishma Chauhan (Ms.)