MIRit

MIRit provides methods for investigating relationships between miRNAs and genes in different biological conditions, enabling identification of miRNA-gene regulatory axes that control biological pathways.

Key Features:

• Integrative miRNA-mRNA analysis: Supports all central aspects from differential expression analysis to network characterization.
• Flexible dataset support: Handles both matched and unmatched miRNA and mRNA datasets with suitable statistical approaches for each scenario.
• Target identification: Leverages cutting-edge strategies for miRNA target identification.
• Dysregulated miRNA exploration: Enables functional exploration of dysregulated miRNAs.
• Network characterization: Facilitates characterization of miRNA-mRNA regulatory networks.

Scientific Applications:

• Complex disease research: Identifies impaired miRNA-mRNA regulatory networks in diseases such as dilated cardiomyopathy, clear cell renal cell carcinoma, and Alzheimer's disease.
• Post-transcriptional regulation studies: Provides insights into the complex landscape of post-transcriptional regulation by uncovering functionally relevant miRNA-target disruptions.
• Pathway complexity analysis: Deciphers pathway complexity through integrative analysis of microRNA and gene expression.

Methodology:

MIRit applies suitable statistical approaches for matched and unmatched datasets, benchmarks performance of commonly used statistical tests for integrative miRNA analysis, and uses cutting-edge target identification strategies combined with biologically appropriate methods.