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oshorawal authored Nov 5, 2024
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# Network Input & Visualization

In this tutorial, we will explore how to customize and visualize a KSI network using PhosNetVis. A kinase enrichment analysis, including but not limited to our FKSEA page, allows you to infer kinases upstream of the observed phosphorylation patterns in a given dataset. Once this kinase enrichment analysis is complete, you can visualize it directly in PhosNetVis. Alternatively, if you have generated the KSI network using another enrichment tool, or would like to customize your KSI network further, this is very easy and convenient to do in the network visualization input file! Just make sure that your input file adheres to the format below for node and edge attributes you would like to customize. In fact, the PhosNetVis network visualization page is fully flexible, and adaptable to any biomolecular network. You can visualize any two connected nodes, not only kinases and substrates, provided that you lable the source and target columns as "Kinase ID" and "Target ID" (e.g. protein, genes, metabolites, etc). This functionality makes the network visualization page adaptable to diverse datasets beyond phosphorylation. You can then upload your network files to PhosNetVis for 2D or 3D visualization. PhosNetVis provides interactive features for exploring the network, such as rotating, zooming, panning, and viewing node information. By the end of this tutorial, you will be able to customize results from any kinase enrichment analysis tool for better visual exploration and analysis in PhosNetVis. **Let’s get started!**
In this tutorial, we will explore how to customize and visualize a KSI network using PhosNetVis. A kinase substrate enrichment analysis, including but not limited to our fKSEA page, allows you to infer kinases upstream of the observed phosphorylation patterns in a given dataset. Once this kinase substrate enrichment analysis is complete, you can visualize it directly in PhosNetVis. Alternatively, if you have generated the KSI network using another enrichment tool, or would like to customize your KSI network further, this is very easy and convenient to do in the network visualization input file! Just make sure that your input file adheres to the format below for node and edge attributes you would like to customize. In fact, the PhosNetVis network visualization page is fully flexible, and adaptable to any biomolecular network. You can visualize any two connected nodes, not only kinases and substrates, provided that you lable the source and target columns as "Kinase ID" and "Target ID" (e.g. protein, genes, metabolites, etc). This functionality makes the network visualization page adaptable to diverse datasets beyond phosphorylation. You can then upload your network files to PhosNetVis for 2D or 3D visualization. PhosNetVis provides interactive features for exploring the network, such as rotating, zooming, panning, and viewing node information. By the end of this tutorial, you will be able to customize results from any kinase substrate enrichment analysis tool for better visual exploration and analysis in PhosNetVis. **Let’s get started!**

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## Final Words

That's it! With this tutorial, you should now be able to customize and visualize the output of KEA analysis for better exploration and analysis of the network. In the next tutorial, we will change use network controls to change background color, node shapes and colors, labels and run a node query to search for a protein of interest! <a href="https://gumuslab.github.io/phosnetvis-docs/docs/tutorials/network-control.html"> ➡️ Tutorial 3 - Network Controls</a>
That's it! With this tutorial, you should now be able to customize and visualize the output of fKSEA analysis for better exploration and analysis of the network. In the next tutorial, we will change use network controls to change background color, node shapes and colors, labels and run a node query to search for a protein of interest! <a href="https://gumuslab.github.io/phosnetvis-docs/docs/tutorials/network-control.html"> ➡️ Tutorial 3 - Network Controls</a>


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