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DESeq2 task, on the other hand, is a Partek Flow native implementation of DESeq2 differential expression detection algorithm. Like GSA and ANOVA, before you run this task, we recommend that you first remove (filter out) features expressed at a low level and then normalize the data; the normalization that we suggest you use in conjunction with DESeq2 is Median ratio (median ration normalization is used by DESEq2(R)). One of the following can be applied also: TMM, CPM, Upper Quartile, Median Ratio (edgeR). However RPKM or TPM is not allowed.

Installation of R is not required to run DESeq2 task.

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