Hello,
I found a paper (https://www.nature.com/articles/s41556-018-0220-2#Fig5) that they created STRING protein-protein network and also gene ontology bar charts as in their Figure 5.
May I kindly ask you to let me have your valuable answers for my following questions please?
May I know how can I create the String network in such a way that it presents Direct binding of PtdIns(4,5)P2 in green nodes and Indirect PtdIns(4,5)P2 association in yellow nodes (as they did in their Figure 5)? Also, how they made some protein names with red text while the rest is black?
Also, I am highly interested to know how can I make gene ontology bar charts showing enriched terms along with -log10 (corrected P values) with red line, as they did.
I read STRING and DAVID databases but I could not find the options for making the above analyses and presentations. Any help to make these figures or similar ones with STRING, DAVID, or any other tools would be highly appreciated.
Many thanks. Best wishes,
Dear @F. Golestan
From my experience working with network (PPIN), I advise you to import data from cytoscape so you will have more flexibility to work by changing colors, font size, node color and whatever you want to change your layout.
With regards to DAVID, you can download GO result and build this graph using excel if you have no experience with R.
More information about cytoscape
https://manual.cytoscape.org/en/stable/
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Dear Leite, Many thanks for your guide. Actually, before, I was using StringApp for pulling ppi networks. But, firstly, by using StingApp, I can not choose to retrieve only experimentally validated interactions (as it is possible in original String database). Secondly, I do not know how to detect "direct binding of protein X" and "indirect protein X association". Thirdly, I also do not know how to define sets and then map them to node fill colors (yellow and green).
Also, for creating this interaction network, do I need expression values or by having only protein names I can make such network with these features?
Also, is there any cytoscape app that I can obtain -log10 (corrected p values) for enriched GO biological process and KEGG pathways? Then, I can use them to make bar charts in Excel or R. I also tried ClueGO, but It does not calculateĀ -log10 (corrected p values) which I need.
Sorry for asking several questions as I highly need help and guide. Thank you so much.