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Ruepp, A. ; Kowarsch, A. ; Schmidl, D. ; Buggenthin, F. ; Brauner, B. ; Dunger, I. ; Fobo, G. ; Frishman, G. ; Montrone, C. ; Theis, F.J.

PhenomiR: A knowledgebase for microRNA expression in diseases and biological processes.

Genome Biol. 11:R6 (2010)
Publ. Version/Full Text Volltext DOI PMC
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In recent years, microRNAs have been shown to play important roles in physiological as well as malignant processes. The PhenomiR database http://mips.helmholtz-muenchen.de/phenomir 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.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords cell lines; cancer; targets; identification; profiles; clusters; database; encodes; protein; tumors
ISSN (print) / ISBN 1474-760X
e-ISSN 1465-6906
Journal Genome Biology
Quellenangaben Volume: 11, Issue: 1, Pages: , Article Number: R6 Supplement: ,
Publisher BioMed Central
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Bioinformatics and Systems Biology (IBIS)