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Differential abundance analysis of two samples with only a single replicate

Dear All,

I am trying to perform a differential abundance analysis of two sets of samples (Samples A and B), in which they approximately share 20 OTUs.

However, I only have 2 replicates for Sample A, and 1 replicate for sample B.

I will like to find out which OTUs are more quantitatively abundant between the two samples. I have read that DeSeq2 is not possible because I will require replication. Some have recommended R-log transformation.

Are there other ways to go ahead doing this? I was thinking fold-change between the OTU is one method. Will appreciate any feedback or comments.

Thank you!

deseq2

In your own mind, is this a statistically valid experimental setup? You could analyse the 2 samples, but what would it mean? Which journal would accept the work for publication?

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