MIENTURNET

MIENTURNET prioritizes microRNA (miRNA)-target interactions and analyzes miRNA regulatory networks to identify statistically significant miRNA–mRNA interactions and network properties.

Key Features:

• Input Flexibility: Accepts lists of either miRNAs or mRNAs as input for analysis.
• Statistical Analysis: Performs statistical analysis to assess the significance of over-represented miRNA-target interactions and supports filtering by significance thresholds.
• Network-Based Visualization and Analysis: Applies network theory to visualize and analyze regulatory networks of miRNAs and target mRNAs to capture complex interaction patterns.

Scientific Applications:

• Interaction Prioritization: Prioritizes miRNA-target interactions based on statistical significance.
• Regulatory Mechanism Investigation: Enables investigation of miRNA-mediated regulatory mechanisms by examining network structure.
• Integrated miRNA Activity Analysis: Supports exhaustive analyses of miRNA activity by combining statistical prioritization with network topology assessment.

Methodology:

Performs statistical filtering to determine significance of miRNA-target interactions using predefined thresholds, followed by network analysis applying network theory to visualize and analyze the resulting regulatory networks.