How to combine results from two different analyses (different reads lengths and trimming methods) in one taxonomic bar plot

[fgara]

Hi @jwdebelius and @kmz,

Thank you both for your kind replies!

Thank you @kmz for your advice on merging feature tables - following your advice, I researched more and found this on the forum:

How to merge the tables?

Hey there @codea! Take a peek at feature-table merge - that should get you started. As well, the FMT Tutorial has an example of merging runs, which involves merging a few different semantic types together. Keep on QIIMEin' :qiime2:

Also:
https://docs.qiime2.org/2018.8/tutorials/fmt/

First we’ll merge the two FeatureTable[Frequency] artifacts, and then we’ll merge the two FeatureData[Sequence] artifacts. This is possible because the feature ids generated in each run of denoise-single are directly comparable (in this case, the feature id is the md5 hash of the sequence defining the feature).

Wow, creating md5 hash from the actual sequences is such a brilliant idea!
I will try merging the feature tables.

@jwdebelius thank you for sharing your insights - could you kindly explain more about the "length signal" that you mentioned please? Is it a bad thing / will that affect the downstream statistical analysis?