title: PhenomiR: microRNAs in human diseases and biological processes.
abstract: The association of dysregulated microRNAs (miRNAs) and diseases has been shown in a variety of studies. Here, we review a resource denoted as PhenomiR, providing systematic and comprehensive access to such studies. It allows machine-readable access to miRNA and target relations from these studies to study the impact of miRNAs on multifactorial diseases across many samples and biological replicates. We summarize the PhenomiR data structure and its content and show how to access the database and use it in everyday miRNA profile analysis using the R language.
authors.affiliation: Institute for Bioinformatics and Systems Biology (MIPS), Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany. andreas.ruepp@helmholtz-muenchen.de
authors.forename: Andreas
authors.initials: A
authors.lastname: Ruepp
authors.forename: Andreas
authors.initials: A
authors.lastname: Kowarsch
authors.forename: Fabian
authors.initials: F
authors.lastname: Theis
mesh_terms: D019295:Computational Biology / Q000379:methods; D057225:Data Mining; D030561:Databases, Nucleic Acid; D004194:Disease / Q000235:genetics*; D005786:Gene Expression Regulation; D006801:Humans; D020407:Internet; D035683:MicroRNAs / Q000235:genetics / Q000378:metabolism*; D012984:Software
chemical_list: D035683:MicroRNAs