PHENOMINER

Semantic mining of phenotype associations from the biomedical literature

Coordinatore	EUROPEAN MOLECULAR BIOLOGY LABORATORY    more  Organization address address: Meyerhofstrasse 1 city: HEIDELBERG postcode: 69117 contact info Titolo: Ms. Nome: Nishma Cognome: Chauhan Email: send email Telefono: +44 1223 492 524
Nazionalità Coordinatore	Germany [DE]
Totale costo	278˙807 €
EC contributo	278˙807 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2011-IIF
Funding Scheme	MC-IIF
Anno di inizio	2012
Periodo (anno-mese-giorno)	2012-11-01   -   2014-12-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	EUROPEAN MOLECULAR BIOLOGY LABORATORY  Organization address address: Meyerhofstrasse 1 city: HEIDELBERG postcode: 69117 contact info Titolo: Ms. Nome: Nishma Cognome: Chauhan Email: send email Telefono: +44 1223 492 524	DE (HEIDELBERG)	coordinator	278˙807.40

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 Obiettivo del progetto (Objective)

'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.'