Question: Using Normalized Values in DeSeq2 - Metatranscriptomics
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gravatar for jspmccain
2.1 years ago by
jspmccain10
jspmccain10 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!

 

deseq2 • 587 views
ADD COMMENTlink modified 2.1 years ago by Michael Love25k • written 2.1 years ago by jspmccain10
Answer: Using Normalized Values in DeSeq2 - Metatranscriptomics
1
gravatar for Michael Love
2.1 years ago by
Michael Love25k
United States
Michael Love25k 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 2.1 years ago by Michael Love25k
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