Query/Create interaction networks

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What you will learn from this tutorial:

• Exploratory navigation of interaction networks starting with any specified protein/gene

• Find the different level of neighbors (1st level neighbors are the directly interacted genes/proteins ...)  for a given list of genes/proteins, and how to check whether the genes/proteins are connected

• Find the connections between a given set of genes/proteins

• Create your own network using a list of pairwise correlations (edge-list format)

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Use VisANT to visualize networks in your own web site

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What you will learn from this tutorial:

• Add a simple HTTP link to visualize your data in VisANT

• Embedding VisANT applet in your web page with customizable VisANT applet parameters and scriptable APIs to control the VisANT

• Creating a server to visualize your own interaction database in VisANT

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Visualize the edge weight

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What you will learn from this tutorial:

• Visualize edge weight using edge color, edge thickness, or both

• Add weighted interaction using edge-list format

• Visualize method-dependent edge weight

• Using weight cutoff to filter the network
   

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Using batch mode to automate the analyses

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What you will learn from this tutorial:

• How to run VisANT in the batch mode

• How to prepare the command file

• Learn the most common commands
   

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Create the multiscale networks

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What you will learn from this tutorial:

• How to create/delete metanodes

• How to manipulate the metagraphs

• How to create metanodes using extended edge-list format
   

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Develop VisANT plugin in Eclipse

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What you will learn from this tutorial:

• How to configure Eclipse for plugin development

• How to use Ant script to automate the jar file creation when compiling the plugin

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Edge Annotation

What you will learn from this tutorial:

• Change the line width of the edge by assign different weights.

• Add label to the edge.

• Add detailed annotation of the edge that will be part of quick tip when mouse-over the edge.

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Create & Filter the Weighted Network

What you will learn from this tutorial:

• Prepare the data of weighted network in the format of Edge-List.

• Create the network from the sets of edge lists.

• Filter the edges with their weights.

• Experience the new dynamic-link feature of degree distribution in VisANT 2.0 and their application in network manipulation.

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