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PhenomiR: a knowledgebase for microRNA expression in diseases and biological processes

Andreas Ruepp1*, Andreas Kowarsch1, Daniel Schmidl12, Felix Buggenthin1, Barbara Brauner1, Irmtraud Dunger1, Gisela Fobo1, Goar Frishman1, Corinna Montrone1 and Fabian J Theis12*

Author affiliations

1 Institute for Bioinformatics and Systems Biology (MIPS), Helmholtz Center Munich - German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, D-85764 Neuherberg, Germany

2 Department of Mathematics, University of Technology Munich, Boltzmannstraße 3, D-85747 Garching, Germany

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Citation and License

Genome Biology 2010, 11:R6  doi:10.1186/gb-2010-11-1-r6

Published: 20 January 2010


In recent years, microRNAs have been shown to play important roles in physiological as well as malignant processes. The PhenomiR database webcite provides data from 542 studies that investigate deregulation of microRNA expression in diseases and biological processes as a systematic, manually curated resource. Using the PhenomiR dataset, we could demonstrate that, depending on disease type, independent information from cell culture studies contrasts with conclusions drawn from patient studies.