miRModule
miRModule identifies modules of microRNAs (miRNAs) by detecting significant co-occurrence of miRNA target sites within predefined sets of target messenger RNAs (mRNAs) to characterize cooperative miRNA-mediated regulation.
Key Features:
- Module Identification: Identifies clusters of miRNAs whose binding sites significantly co-occur within the same set of target mRNAs.
- High Throughput Data Utilization: Leverages high throughput experimental data to predict both confirmed and potential miRNA modules.
- Binding Site Analysis: Reports that target sites associated with predicted miRNA modules tend to be weaker and that miRNAs within these modules prefer unconventional target sites over canonical ones.
- Spatial Analysis: Finds that adjacent miRNA target sites from the same module often lie outside the 10-130 nucleotide range and that inter-site distances are shorter when modules bind unconventional versus canonical sites.
Scientific Applications:
- miRNA regulatory mechanism analysis: Enables characterization of cooperative miRNA regulation and interactions among miRNAs acting on common mRNAs.
- Gene regulatory network inference: Supports inference of gene regulatory network structure by identifying groups of miRNAs that co-regulate target mRNAs.
- Therapeutic target exploration: Facilitates exploration of potential therapeutic targets in contexts where miRNA dysregulation contributes to disease.
- Exploratory genomics and molecular biology research: Assists exploratory studies by predicting both confirmed and potential miRNA modules from experimental datasets.
Methodology:
Analyzes high throughput experimental data to identify significant co-occurrences of miRNA binding sites within predefined sets of target mRNAs to predict miRNA modules.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows
- Programming Languages:
- Python
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Ding J, Li X, Hu H. MicroRNA modules prefer to bind weak and unconventional target sites. Bioinformatics. 2014;31(9):1366-1374. doi:10.1093/bioinformatics/btu833. PMID:25527098. PMCID:PMC4410656.