Good morning @Nicholas_Bokulich, and once more, thanks for your answer!
this is a hierarchical clustering based on association with different balances
Exactly, this is the logic on the basis of which the heatmap was created, provided by gneiss itself.
To create the heatmap, I used the following code:
qiime gneiss dendrogram-heatmap --i-table table-no-clo-mit.qza --i-tree gneiss/hierarchy.qza --m-metadata-file 16S_metadata.tsv --m-metadata-column Site --p-color-map seismic --o-visualization gneiss/site_heatmap.qzv
But if you want to label the tips I would recommend exporting the data from the tree that is used as input… you may be able to parse the tip IDs and use that to label your tree
I guess you’re referring to
hierarchy.qza. I exported it from QIIME2 through
qiime tools extract and got a
tree.nwk file. I uploaded the tree and visualized it through this tool. The IDs made of a sequence of numbers and letters are provided at each branch. However, I still don’t understand the exact way I should match such IDs with the heatmap branches. The heatmap is shown in a ‘squeezed’ way I can’t properly take advantage of and apparently there is no plugin option allowing me to provide a zoomed visualization of it. This way, since I was unable to find a more readable dataset related to the heatmap, it’s hard even to count the branches to see if their structure matches the one of the hierarchy.qza tree…
Should I apply some filtering criteria to reduce he number of features displayed, or is it any way to show a ‘higher resolution’ version?
Thanks in advance!