Hi I've just started analyzing COI and I am a beginner.
I followed every tutorials and I just had a question.
In the input format there were always rep-seqs.qza and table.qza. But I get those files after denoising and clustering and also after when chimera was filtered.
For example, in the 'test the classifier' step
$qiime feature-classifier classify-sklearn
--i-classifier classifier.qza
--i-reads rep-seqs.qza
--o-classification taxonomy.qza
for the 'rep-seqs.qza', should I put rep-seps from denoised result? or chimera filtered rep-seqs? or denovo clustered rep-seqs?
Yes, as I mentioned previously, whichever data you will actually use in your downstream analysis. If you'd like to use your denoised and clustered reads, then this is what you'd use. .
As outlined in our online documentation, If you add --help to any of the qiime commands, you'll see the help text. This will inform you of the input and output types, e.g. FeatureData[Sequence]. For example, when I type:
qiime phylogeny align-to-tree-mafft-raxml --help
You will see that the input for this pipeline is FeatureData[Sequence], and the output consists of several files:
alignment: FeatureData[AlignedSequence]
masked alignment: FeatureData[AlignedSequence]
tree: Phylogeny[Unrooted]
rooted tree Phylogeny[Rooted]
As mentioned above, you can determine the input and output types by using --help. I suggest you work through the tutorials. The Moving Pictures and Parkinson's tutorials contain many steps used in a typical analyses, regardless of the amplicon / gene you are analyzing. They provide many examples of what you are tying to do.