Question: Using Normalized Values in DeSeq2 - Metatranscriptomics
gravatar for jspmccain
10 weeks ago by
jspmccain0 wrote:

I am analyzing a time series of a metatranscriptome. In metatranscriptomics, we have to do the regular normalizations found in RNA-Seq (ie. gene sequence length, and sample-differences in total expression). However, there is an additional normalization required to account for changes in species abundance.

I would like to analyze differences in species-level transcript abundance, so I've done all these normalizations. But to then analyze differential expression with DeSeq2, it seems I shouldn't put the normalized values as input. Is there a recommended way around this?

Any tips or advice is appreciated!


ADD COMMENTlink modified 10 weeks ago by Michael Love14k • written 10 weeks ago by jspmccain0
gravatar for Michael Love
10 weeks ago by
Michael Love14k
United States
Michael Love14k wrote:

So DESeq2 does it's own normalization such that you are comparing differences between counts after normalizing away any global shifts (it's not possible to separate these from sequencing depth without making more assumptions or including prior information about housekeeping genes etc). That's the RNAseq context. The short answer is that the methods only work with unnormalized counts but the software is flexible such that you can modify the normalization parameters how you like (see vignette on sizeFactors and normalizationFactors).

ADD COMMENTlink written 10 weeks ago by Michael Love14k
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