Is there a normalized_table.py in QIIME2?

Hi @Hanna! QIIME 2 does not currently support CSS/DESeq normalization methods that are present in QIIME 1. The core development team doesn't have a timeline for adding this support, but we would welcome the addition of these methods in a QIIME 2 plugin if you or someone else is interested in developing that functionality (see our plugin developer docs for details).

I wonder if 100%OTUs of the sequence variants do not need the normalization any more.

I think they'll still need normalization because samples could still have vastly different sequence counts, which is what needs to be normalized.

Right now you have a few options to choose from:

  • Rarefy your table with qiime feature-table rarefy.
  • If you are interested in differential abundance testing in QIIME 2, take a look at the qiime composition plugin, which implements ANCOM (it has its own normalization scheme).
  • Run CSS/DESeq in QIIME 1 (or R) and import your normalized .biom file into QIIME 2 (see the importing tutorial).
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