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Titel:

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

Autor(en):
Ruepp, A.; Kowarsch, A.; Schmidl, D.; Buggenthin, F.; Brauner, B.; Dunger, I.; Fobo, G.; Frishman, G.; Montrone, C.; Theis, F. J.
Abstract:
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 conclus...     »
Stichworte:
cell lines cancer targets identification profiles clusters database encodes protein tumors
Zeitschriftentitel:
Genome Biol.
Jahr:
2010
Band / Volume:
11
Heft / Issue:
1
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