VANTED: a system for advanced data analysis and visualization in the context of biological networks

BMC Bioinformatics
Björn H JunkerFalk Schreiber

Abstract

Recent advances with high-throughput methods in life-science research have increased the need for automatized data analysis and visual exploration techniques. Sophisticated bioinformatics tools are essential to deduct biologically meaningful interpretations from the large amount of experimental data, and help to understand biological processes. We present VANTED, a tool for the visualization and analysis of networks with related experimental data. Data from large-scale biochemical experiments is uploaded into the software via a Microsoft Excel-based form. Then it can be mapped on a network that is either drawn with the tool itself, downloaded from the KEGG Pathway database, or imported using standard network exchange formats. Transcript, enzyme, and metabolite data can be presented in the context of their underlying networks, e. g. metabolic pathways or classification hierarchies. Visualization and navigation methods support the visual exploration of the data-enriched networks. Statistical methods allow analysis and comparison of multiple data sets such as different developmental stages or genetically different lines. Correlation networks can be automatically generated from the data and substances can be clustered according to ...Continue Reading

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Citations

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Methods Mentioned

BETA
transgenic

Software Mentioned

PathwayProcessor
SBML
PaVESy
KappaView
MapMan
View
KaPPA
Windows
VitaPad
Excel

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