# difference between the following functions in qiime2

**URL:** https://forum.qiime2.org/t/difference-between-the-following-functions-in-qiime2/14606
**Category:** User Support
**Created:** [April 23, 2020, 4:51pm UTC](https://forum.qiime2.org/t/difference-between-the-following-functions-in-qiime2/14606 "2020-04-23T16:51:49Z")
**Posts on this page:** 1
**Showing post:** 4

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### Author: ![Mehrbod\_Estaki](https://forum.qiime2.org/user_avatar/forum.qiime2.org/mehrbod_estaki/32/4001_2.png) [@Mehrbod\_Estaki](https://forum.qiime2.org/u/Mehrbod_Estaki)
#### Post date: [April 25, 2020, 1:19am UTC](https://forum.qiime2.org/t/difference-between-the-following-functions-in-qiime2/14606/4 "2020-04-25T01:19:47Z")

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Hi @arlandan,

There are a few other discussion here [here](https://forum.qiime2.org/t/normalisation-seq-count/12202), [here](https://forum.qiime2.org/t/deep-sequencing/3586/2), and [here](https://forum.qiime2.org/t/are-there-alternatives-to-rarefying-for-alpha-diversity-estimation/7474), that might give you some in-depth insights into the questions you have here. There are likely more on the foru, but those ones I found the fastest.  
But brief answers to your questions:

> [@arlandan](#):
>
> should I use the rarefied table for further analysis, like making taxa bar plot, to make data consistent?

This really depends on what it is you are doing. For some actions, like alpha group significance or beta group significance, you should, but for tools that are compositionally aware like ANCOM, ALDEx2, songbird, you shouldn't.

> [@arlandan](#):
>
> Would it be reasonable to remove samples as this with significantly high feature counts and OTUs. It looks just like an outlier to me

Normally I would say yes, as long within your experiment you can justify this being an outlier. For example if these were 11 mice from the same treatment, then there is reason to think something happened to this 1 mouse and it is clearly an outlier and so you could justify removing it. In your case however, I am a little concerned with regards to your sampling depth. A depth of 700 sequences is not enough (for most common microbial communities we see anyways) to really capture the full diversity. I Would recommend re-running this with a much higher max depth, say 10-20k at least. I personally go even higher but the benefits diminish rapidly thereafter.

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