PhenomiR: MicroRNAs in Human Diseases and Biological Processes (original) (raw)

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.

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Acknowledgements

This work is funded in parts by the Federal Ministry of Education and Research (BMBF), its MedSys initiative (projects LungSys and SysMBo), the Helmholtz Alliance on Systems Biology (project CoReNe), and the German Research Foundation (InKoMBio, SPP1395).

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Authors and Affiliations

  1. Institute for Bioinformatics and Systems Biology (MIPS), Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
    Andreas Ruepp, Andreas Kowarsch & Fabian Theis

Authors

  1. Andreas Ruepp
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  2. Andreas Kowarsch
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  3. Fabian Theis
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Corresponding author

Correspondence toAndreas Ruepp .

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Editors and Affiliations

  1. Illumina, Inc., Towne Centre Drive 9885, San Diego, 92121, California, USA
    Jian-Bing Fan

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Ruepp, A., Kowarsch, A., Theis, F. (2012). PhenomiR: MicroRNAs in Human Diseases and Biological Processes. In: Fan, JB. (eds) Next-Generation MicroRNA Expression Profiling Technology. Methods in Molecular Biology, vol 822. Humana Press. https://doi.org/10.1007/978-1-61779-427-8\_17

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