In this Youtube lecture by Dr. Dan Knights (https://www.youtube.com/watch?v=M8ylvsS0MHg&t=304s&ab_channel=DanKnights), he mentioned a “neat trick” that they used in the Global Gut study, that is, to plot beta diversity values as single variables by comparing each sample to a baseline/population.
I would like to create a similar plot with my data but I’m not sure I understand this properly and which values from QIIME2 should I take. I tried exporting my weighted_unifrac_pcoa_results.qza using qiime tools export, and it gave me a file called “ordination.txt” that looks like this if I open it in Excel:
As you can see here, each sample here has many (beta diversity) values - which value should I take?
And does anyone know what is this plot usually called (beta diversity plot where the values are represented as average distance values to a certain sample/population)?
I would like to learn more about this but I cannot find other tutorials that explain such plots.
Many thanks for your kind help!