I tried to create a similar one using 'ggplot' and combine all of them into one plot, but it takes very long time. Is there an easier way to combine the oncoplot, different clinical information and side legends together?
Also, what is the best way to create the oncoplot clustered by groups and sort based one some value? Like the image below, it was build based on subtypes and sorted by mutations rate I guess. The link is below: https://www.researchgate.net/figure/The-mutational-landscape-of-33-cancer-genes-in-Chinese-breast-tumors-n305-Genomic_fig1_332730584
might be GenVisR, not sure if that is a perfect match but it looks fairly similar How to create a mutation landscape (waterfall) plot with GenVisR