Thanks a lot for your advice. It could work in my case.
I would like to ask if anybody has an idea about visualizing the gene ontology on R using bubble plot as shown in Fig 3 of this report? https://academic.oup.com/gbe/article-lookup/doi/10.1093/gbe/evu070 I am analyzing a data of transcriptomic analysis of a dimorphic fungus by comparing the expression pattern during the yeast growth and hyphal growth. This bubble plotting will be perfect in showing my data as I can insert the data of both growth forms into one plot for easy comparison instead of visualizing them separately. The authors of this work said that they performed it using Python script makeDendrogram.py) in (pyEnrichment). As I am not familiar with Python, I could not be able to use it. I will be grateful to anybody can help me to apply such bubble plot on R. Any similar plot can accomplish my goal is also OK. Thanks for the help in advance.
4 answers
Check out GeneSCF
Representation figures in GeneSCF article: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1250-z
Thank you for your advice.
Hi, you can plot similar representations in clusterProfiler; "https://bioconductor.org/packages/release/bioc/html/clusterProfiler.html".
Thank you for your suggestion. Actually, the form of visualization using clusterProfiler package is perfect in one of my cases; I performed several soft clustering and wanted to compare their GO in one graph instead of several graphs. However, I find difficulty to visualize my GO using clusterProfiler as I am using topGO package for GO enrichment and it seems that the output of TopGO is not working with clusterProfiler. If you know the way to input topGO output in clusterProfiler package, I will be thankful to you if you provided to me. Thank you in advance.
Can you post your topGO output.
Why not try this R-based package: bubble plots and more elaborate GO visualisations are contained within it and relatively easy executed: https://wencke.github.io/
Log in to answer this question.