Amazing video. Thank you for sharing. Please make more of these videos on microbiome analyses. e.g beta diversity, pcoa, NMDS, community heat map, serial group comparisons etc
amazing, thank you! combining all the metabarcoding data in one large table and visualizing with ggplot is much more handy to work with than phyloseq. best regards :)
Thank you for your video, and I really enjoy and successfully plotted the graph through the tutorial. Anyway, if I apply it to the real work, I would like to know how you calculated the aboundancy %?
Hi Thank you for your video, please i would like to know the metagenomic analysis tool that you used and why your OTU ID are coded because mine are long numeric number and i used QIIME2
There is more than one way to do it. You can see how I did it in the extended_example.Rmd file of the GitHub repo. Or go to this link github.com/surh/scip_barplot/blob/a775e0d97b47e8dd40498b6713016bbb7e045003/extended_example.Rmd#L285-L301
I'm general it is not a good idea to represent that many levels with color, the human eye and brain just can't distinguish that many times. Ten is already pushing it and that is my common limit. You should think how to group those 50 levels in a meaningful way. If you really need to show 50 different groups (which generally you don't) then this type of barplot is not the right plot.
