Is there an equivalent of differential_abundance.py in qiime2?

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Hi,

I am a qiime 2 novice and would like to produce a list of OTU that are differentially abundant between the two conditions I am comparing. For each of those differentially abundant features, would like to have an estimate of fold-change with a p value. Qiime1 seems (I have not tried it, done everything so far in qiime 2) to have a specific command for that: differential_abundance.py. How do I produce this kind of output in qiime2? Any help greatly appreciated.

Yannick

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An off-topic reply has been merged into an existing topic: Producing a list differentially abundant OTU

Please keep replies on-topic in the future.

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