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Hi
I am running ampliseq for eukaryotic classification. I can see many unclassified data based on Barrnap.. (Barrnap classified 13 ( 0.42 %) ASVs as most similar to Bacteria, 16 ( 0.52 %) ASVs to Archea, 0 ( 0 %) ASVs to Mitochondria, 156 ( 5.09 %) ASVs to Eukaryotes, and 2878 ( 93.96 %) were below similarity threshold to any kingdom.)
I using PR2 5.0 database with the following run command. Any suggestion to improve the classification.
It is slightly worrisome that barrnap cannot classify so many ASVs. And because you are using --filter_ssu euk, all of those are discarded before taxonomic classification with PR2. So I recommend to omit --filter_ssu euk and append -resume and check in the final taxonomic classification whether that might be better aligned to your expectation.
Hi
I am running ampliseq for eukaryotic classification. I can see many unclassified data based on Barrnap.. (Barrnap classified 13 ( 0.42 %) ASVs as most similar to Bacteria, 16 ( 0.52 %) ASVs to Archea, 0 ( 0 %) ASVs to Mitochondria, 156 ( 5.09 %) ASVs to Eukaryotes, and 2878 ( 93.96 %) were below similarity threshold to any kingdom.)
I using PR2 5.0 database with the following run command. Any suggestion to improve the classification.
nextflow run nf-core/ampliseq -r 2.10.0 -profile singularity --max_cpus 16
--input_folder (Project)
--FW_primer CGGTAAYTCCAGCTCYV --RV_primer CCGTCAATTHCTTYAART
--cutadapt_min_overlap 3 --trunc_qmin 20
--trunclenf 230 --trunclenr 180
--min_len 50 --max_len 550
--vsearch_cluster --vsearch_cluster_id 0.97
--filter_ssu euk
--dada_ref_taxonomy pr2=5.0.0
--max_memory 16.GB
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