A web-based or downloadable software platform used for visualization and analysis of networks and interaction pathways
Tutorial and training materials by OpenHelix
| Learn to use the VisANT resource, a multi-mode software platform used for visualization and analysis of interaction pathways. The VisANT application provides researchers with an easy to use graphical interface for integrating biomolecular interaction data. The metagraph structure allows multi-scale visualization of bio-networks and its integrative data-mining feature permits a large number of functional associations for 103 different species. | Advertisement:
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You'll learn:
- how to search for interactions between genes/proteins
- how to find and explore integrated KEGG pathway data
- methods to effectively navigate the interaction network metagraph
- how to integrate protein expression, orthology, sequence annotation and functional annotation data into the interaction network
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Recent BioMed Central research articles citing this resourceKoprowski Robert et al., Methods of measuring the iridocorneal angle in tomographic images of the anterior segment of the eye. BioMedical Engineering OnLine (2013) doi:10.1186/1475-925X-12-40 Jianu Radu et al., What google maps can do for biomedical data dissemination: examples and a design study. BMC Research Notes (2013) doi:10.1186/1756-0500-6-179 Wong HY Melissa et al., Reproducibility of Corneal Graft Thickness measurements with COLGATE in patients who have undergone DSAEK (Descemet Stripping Automated Endothelial Keratoplasty). BMC Medical Imaging (2012) doi:10.1186/1471-2342-12-25 Rohn Hendrik et al., VANTED v2: a framework for systems biology applications Methods, software and technology. BMC Systems Biology (2012) doi:10.1186/1752-0509-6-139 Kim Mo Joon et al., Changes in intraocular pressure after pharmacologic pupil dilation. BMC Ophthalmology (2012) doi:10.1186/1471-2415-12-53 |
More about the resource:
VisANT is a freely available, Java-based open-source tool. VisANT can be run as a web-based tool, downloaded as a local application or run in batch mode. This resource along with the associated Predictome database, are both supported and maintained by the Center for Advanced Genomic Technology at Boston University.
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