Comprehensive reconstruction and visualization of non-coding regulatory networks in human

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• Non-coding RNAs (ncRNAs) are increasingly recognized for their functional roles and deregulation in human disorders.
• ncRNAs in extracellular fluids show potential as non-invasive biomarkers.
• A comprehensive database for ncRNA interactions is currently lacking.

Purpose of the Study:

• To present ncRNA-DB, a NoSQL database integrating ncRNA interaction data.
• To facilitate the understanding of ncRNA regulatory mechanisms.
• To provide a centralized resource for ncRNA research.

Main Methods:

• Integrated ncRNA interaction data from multiple online repositories.
• Developed a NoSQL database (ncRNA-DB).
• Created web-based, command-line, and Cytoscape app (ncINetView) interfaces.

Main Results:

• ncRNA-DB successfully integrates diverse ncRNA interaction data (RNA, DNA, proteins, diseases).
• The database supports network reconstruction and visualization of ncRNA interactions.
• Users can explore ncRNAs and associated diseases through multiple interfaces.

Conclusions:

• ncRNA-DB serves as a valuable, centralized resource for ncRNA research.
• The database aids in understanding ncRNA regulatory networks and disease associations.
• ncRNA-DB enhances the exploration of ncRNAs as potential biomarkers.