# Many K\_bacteria; ; ; classifications even in deep levels

**URL:** https://forum.qiime2.org/t/many-k-bacteria-classifications-even-in-deep-levels/16673
**Category:** User Support
**Created:** [September 23, 2020, 11:41am UTC](https://forum.qiime2.org/t/many-k-bacteria-classifications-even-in-deep-levels/16673 "2020-09-23T11:41:14Z")
**Posts on this page:** 1
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### Author: ![llenzi](https://forum.qiime2.org/letter_avatar_proxy/v4/letter/l/9fc29f/32.png) [@llenzi](https://forum.qiime2.org/u/llenzi)
#### Post date: [September 24, 2020, 10:42am UTC](https://forum.qiime2.org/t/many-k-bacteria-classifications-even-in-deep-levels/16673/10 "2020-09-24T10:42:56Z")

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Hi @MiriamGorostidi,

if the sequences are from IonTorrent, you are right in say that the reads are single reads but the error profile is different from the Illumina reads so you should use: the dada2 denoise-pyro [denoise-pyro: Denoise and dereplicate single-end pyrosequences — QIIME 2 2020.8.0 documentation](https://docs.qiime2.org/2020.8/plugins/available/dada2/denoise-pyro/)

For training your database I suggest to use the brand new Rescript plugin: [Processing, filtering, and evaluating the SILVA database (and other reference sequence data) with RESCRIPt](https://forum.qiime2.org/t/processing-filtering-and-evaluating-reference-sequence-data-with-rescript/15494)

As alternative, regarding trying the clustering approach, please look at:  
[https://docs.qiime2.org/2020.8/tutorials/otu-clustering/](https://docs.qiime2.org/2020.8/tutorials/otu-clustering/)  
In the 'Closed-reference clustering' part. For this you don't need to train the database.

Hope it helps

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