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Used rarefided or unrarefided feature-table

Open suiweikang opened this issue 2 years ago • 3 comments

210 samples were sequencing in my research. And the number of sequencing reads of my sample was varied greatly, from 40,000 to 210,000. Also, the number of sequencing reads was rarefied to 40,000.
Should rarefied or unrarefied feature-table used in decontam?

suiweikang avatar May 03 '22 09:05 suiweikang

By default decontam will normalize the data to proportions. And so rarefaction is not recommended, especially if negative controls are included which often have significantly lower read counts.

benjjneb avatar May 03 '22 13:05 benjjneb

Thanks for the reply. Are both the frequency or prevalance method based on the proportion? Or is frequency based on proportions, while prevalence based on absolute read number?

suiweikang avatar May 03 '22 13:05 suiweikang

The prevaaece method is based on presence/absence, so a proportion > 0.

benjjneb avatar May 03 '22 14:05 benjjneb