FNV

FNV renders vector graphic visualizations of small- to moderate-sized biological networks and pathways representing genes, proteins, mRNAs, microRNAs, metabolites, regulatory DNA elements, diseases, viruses, and drugs.


Key Features:

  • XML input format: Accepts biological network data formatted in Extensible Markup Language (XML) to represent relationships among genes, proteins, mRNAs, microRNAs, metabolites, regulatory DNA elements, diseases, viruses, and drugs.
  • Vector graphics rendering (Adobe ActionScript 3.0): Renders network diagrams as scalable vector graphics using Adobe ActionScript 3.0 for web embedding.
  • Flexible layout options: Provides flexible layout options for presenting network diagrams.
  • Integration with web-based systems: Has been integrated as a component in Genes2Networks, Lists2Networks, KEA (KEGG Enrichment Analysis), ChEA (ChIP-Enrichment Analysis), and PathwayGenerator.
  • PDF embedding: Embeds pathway visualizations directly into PDF files.

Scientific Applications:

  • Gene–protein interaction analysis: Visualizes and supports analysis of gene–protein interaction networks and their implications in disease contexts.
  • Regulatory mechanism exploration: Enables exploration of regulatory mechanisms involving microRNAs and other regulatory DNA elements.
  • Drug–gene interaction investigation: Facilitates investigation of drug–gene interactions and potential therapeutic targets.
  • Pathway presentation for publications: Produces publication-ready pathway diagrams embeddable in PDF documents for communication of network-based findings.

Methodology:

Biological data are converted into XML, which the viewer processes and renders as vector graphics via Adobe ActionScript 3.0.

Topics

Details

Tool Type:
desktop application, web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
JavaScript, Java
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Dannenfelser R, Lachmann A, Szenk M, Ma'ayan A. FNV: light-weight flash-based network and pathway viewer. Bioinformatics. 2011;27(8):1181-1182. doi:10.1093/bioinformatics/btr098. PMID:21349871. PMCID:PMC3072557.

Documentation

Links