Ondex Web: web-based visualization and exploration of heterogeneous biological networks

Area of Science:

• Bioinformatics
• Computational Biology
• Network Science

Background:

• Biological data integration is complex.
• Network visualization tools are crucial for understanding complex biological systems.
• Existing tools may lack user-friendly interfaces for heterogeneous data.

Purpose of the Study:

• To introduce Ondex Web, a novel web-based implementation of Ondex network visualization tools.
• To enhance user interaction with heterogeneous biological networks.
• To provide an open-source, embeddable solution for biological network exploration.

Main Methods:

• Developed a web-based application using Java.
• Implemented context-sensitive menus and annotation tools for intuitive manipulation.
• Ensured support for multiple network data formats (XGMML, NWB, Pajek, OXL).
• Designed for easy embedding into websites as an applet.

Main Results:

• Ondex Web provides an intuitive platform for exploring biological networks.
• New features facilitate user-driven manipulation and visualization of complex data.
• The tool is open-source and readily embeddable.

Conclusions:

• Ondex Web offers an accessible and powerful solution for biological network analysis.
• Its user-friendly interface and broad format support facilitate wider adoption in research.
• The open-source nature promotes collaboration and further development in bioinformatics.