This program is mainly draw network automatically based on Tanimoto coefficients using Gene and GO inputs.
The results can be saved as a file of PDF, JPG, and PNG format.
To obtain the sample loading data, you can download the file from the main page of NetCrafter.
1) Select the data type; Gene or Function.
2) Click the [Open] button.
3) Select your input file as csv format.
4) When the data file is opened successfully, the matrix data will be visualized in the main panel.
5) You can deselect each Gene or GO term that will not be displayed in the network.
Deselecting data will immediately update the count of selected items at the bottom.
This program provides five options to edit the visualization. You can easily optimize network by controling the options in the panel on the right, without needing any graphic-editing skills.
After modifying the options, press [UPDATE] button to regenerate the network. Clicking the button will randomly distribute the network based on the input values.
In this Chapter, we will cover the four options in order, from top to bottom, with the remaining option discussed in Chapter 4.
You can adjust the Tanimoto cutoff using the scaling slider.
Only nodes connected by edges with a Tanimoto score above the cutoff will be displayed in the network.
NetCrafter software automatically calculates similarity based on Tanimoto coefficients using Gene and GO (function) inputs, and visualizes the network accordingly.
The fifth option of customizing network is Selecting Clusters. The representative functions of the groups, distinguished by their connected nodes, will be displayed in the bottom section of the interface.
1) Deselect clusters prefer not to display on the network.
2) Click the [Select Cluster] button.
The changes will then be applied to the network.