Always thanks for your help.
I know that trained classifier is necessary.
Sorry for my words to make you confused.
Below is the commands for training,
qiime feature-classifier extract-reads
I understands for using primer sequence to shorten the classifier.
But I don’t understand the options, ‘–p-trunc-len’ , ‘–p-min-length’ , and ‘–p-max-length’
I think that ‘–p-f-primer’ and ‘–p-r-primer’ options make shorten the full-length 16s sequences between primer sequences.
If it is right, why should I used the other options for training?
I understands what these options doing, but I don’t understands why these options needed.
If I just want to train the classifier just by two primers, I do not have to use the other options (trunc, min-, max-length), right?