TimiRGeN

TimiRGeN integrates longitudinal miRNA and mRNA differential expression data to identify and analyze temporal miRNA–mRNA interactions and construct gene regulatory networks (GRNs) that elucidate dynamic signaling pathway regulation.

Key Features:

• Time Series Integration: Processes time point–based differential expression results to detect and analyze miRNA-mRNA interactions across temporal sequences.
• Network Generation: Produces compact, high-confidence miRNA-mRNA interaction networks that reduce dataset complexity while highlighting interactions impacting specific signaling pathways over time.
• Visualization and Export: Generates network objects and exports networks for downstream analysis in external tools such as PathVisio and Cytoscape.
• Hypothesis Generation: Provides interaction-centered outputs that inform hypothesis formulation for experimental follow-up and further in silico GRN analyses.

Scientific Applications:

• Time series multi-omic analysis: Enables analysis of longitudinal miRNA and mRNA datasets to reveal temporal regulatory relationships.
• Gene regulatory network analysis: Facilitates construction and interrogation of GRNs to identify miRNA-mediated regulation of signaling pathways over time.
• Disease mechanism and developmental biology studies: Supports investigation of temporal changes in gene regulation relevant to disease processes and developmental systems.

Methodology:

Integration of longitudinal miRNA and mRNA differential expression results to derive small, high-confidence miRNA-mRNA interaction networks that focus on interactions influencing signaling pathways over time.