MiRaGE
MiRaGE infers miRNA-mediated regulation of target genes from changes in gene expression profiles.
Key Features:
- Inference of miRNA Regulation: MiRaGE deduces miRNA regulation by analyzing shifts in gene expression data.
- Normalization-free Analysis: The method uses gene expression changes without requiring prior array normalization.
- Ranking System: MiRaGE ranks miRNAs by inferred regulatory impact on gene expression profiles.
Scientific Applications:
- Cell growth, differentiation and development: Used to investigate miRNA-mediated regulation in processes of cell growth, differentiation and development.
- Embryonic stem (ES) cell differentiation into neuronal cells: Applied to ES cell differentiation to identify miRNAs implicated in maintaining the undifferentiated state during neuronal differentiation.
- miRNA candidate identification: Identified candidate miRNAs such as the miR-200 family, miR-429, the miR-302 family, and members of the miR-17-92 cluster as potentially pivotal in ES cell pluripotency.
Methodology:
Analyzes changes in gene expression profiles to infer miRNA activity without requiring prior array normalization and ranks miRNAs by inferred regulatory impact.
Topics
Collections
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 12/30/2018
Operations
Publications
Yoshizawa M, Taguchi Y, Yasuda J. Inference of Gene Regulation via miRNAs During ES Cell Differentiation Using MiRaGE Method. International Journal of Molecular Sciences. 2011;12(12):9265-9276. doi:10.3390/ijms12129265. PMID:22272132. PMCID:PMC3257129.