Hi @deClare125,
There are several ways you can go about this...
- For Eukaryotic specific reference sequences, you can try
- get-eukaryome-data: use
SSUto grab 16S rRNA gene data. - get-midori2-data: to grab mitochondrial reference data. Use
srRNAfor the 16S rRNA gene data, andCO1for cytochrome oxidase subunit 1 data.
- get-eukaryome-data: use
- Then, if you'd like, you can follow the
extract-seq-seqmentstutorial using these reference databases.
^^Note: the online documentation does not appear to reflect the current database options for these commands. So, be sure to check out the respective options using the
--helpflag.
I've not tested this, but given that you are are performing an eDNA diet survey, I am thinking that these two databases might be better tailored for assessing diet eDNA. Then you can use GTDB, SILVA, and Greengenes 2 to assess microbial diversity.
For the NCBI query, I'd try and limit it to non-microbial data using the taxonomy ID to restrict which taxonomic groups you like to keep or ignore. But I think the two databases I mentioned above have already done much of the hard work for you. So, give those a try and see how they work for you.
If you go with using get-silva-data I'd follow the initial steps to fetch the data from here, through reverse transcribing, then you can use either feature-classifier extract-reads alone, or work through the extract-seq-segments tutorial.
Please update us on how well these work! ![]()
-Mike