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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)
Verlagsversion Volltext DOI PMC
Open Access Gold
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter cell lines; cancer; targets; identification; profiles; clusters; database; encodes; protein; tumors
ISSN (print) / ISBN 1474-760X
e-ISSN 1465-6906
Zeitschrift Genome Biology
Quellenangaben Band: 11, Heft: 1, Seiten: , Artikelnummer: R6 Supplement: ,
Verlag BioMed Central
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Bioinformatics and Systems Biology (IBIS)