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Related Experiment Video

Updated: May 18, 2026

Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development

Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development

Published on: April 10, 2016

FNV: light-weight flash-based network and pathway viewer.

Ruth Dannenfelser¹, Alexander Lachmann, Mariola Szenk

¹Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York (SBCNY), Mount Sinai School of Medicine, 1425 Madison Avenue, New York, NY 10029, USA.

Bioinformatics (Oxford, England)

|February 26, 2011

Summary

This summary is machine-generated.

We developed a Flash-based network viewer (FNV) for visualizing biological networks and pathways. This tool enhances pathway visualization and integration into web systems and publications.

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Last Updated: May 18, 2026

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Area of Science:

Bioinformatics
Computational Biology
Systems Biology

Background:

Network diagrams are crucial for visualizing complex biological relationships, including genes, proteins, and metabolites.
Existing web-based pathway viewers have limitations, necessitating improved visualization tools.
The Flash-based Network Viewer (FNV) was developed to address these limitations for small to moderately sized biological networks.

Purpose of the Study:

To develop an improved, interactive network viewer for biological pathways.
To create a versatile tool for visualizing gene and protein interactions.
To facilitate the integration of pathway data into various web-based systems and publications.

Main Methods:

Developed a Flash-based network viewer (FNV) using Adobe ActionScript 3.0.
Implemented functionality to accept Extensible Markup Language (XML) formatted input files for pathway data.
Enabled vector graphics display with flexible layout options and user interactivity.

Main Results:

FNV provides interactive visualization of biological networks and pathways.
The viewer supports features like tooltips, hyperlinks, and node rearrangement.
FNV has been integrated into several established web-based systems, including Genes2Networks and KEA.

Conclusions:

FNV offers a flexible and interactive solution for visualizing biological pathways.
The tool enhances communication of pathway information in digital and soft publication formats.
FNV is available for download with documentation and sample networks.