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qiita_pet/support_files/doc/source/analyzingsamples/index.rst

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@@ -54,12 +54,19 @@ Rarefying Features
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.. figure:: rarefy.png
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:align: center
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* **Rarefy features** :ref:`[11]<reference11>` , :ref:`[12]<reference12>` : Subsample frequencies from all samples without replacement so that the sum of frequencies in each sample is equal to the sampling-depth
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* **Rarefy features**: Subsample frequencies from all samples without replacement so that the sum of frequencies in each sample is equal to the sampling-depth.
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* **BIOM table** (required): Feature table containing the samples for which features should be rarefied
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* **Parameter set**: Parameters at which the rarefication is run
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* **Sampling depth** (required): Total frequency that each sample should be rarefied to, samples where sum of frequencies is less than sampling depth will not be included in resulting table
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Note that rarefaction has some advantages for beta-diversity analyses
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:ref:`[11]<reference11>`, but can have undesirable properties in tests of
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differential abundance :ref:`[12]<reference12>`. To analyze your data with
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alternative normalization strategies, you can easily download the raw biom
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tables (see :doc:`../tutorials/downloading`) and load them into an analysis
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pipeline such as `Phyloseq <https://bioconductor.org/packages/release/bioc/html/phyloseq.html>`__.
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Filtering Samples by Metadata
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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