Co-variants in differential expression analysis
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7.8 years ago
Ati ▴ 40

I want to analysis NGS data from case and control. I want to consider 3 co-variants in this analysis using edgeR and Voom.

Would you please guide me.

Thanks a lot

RNA-Seq sequencing DE edgeR Voom • 1.7k views
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What have you tried? The edgeR and limma user manuals are pretty good, have you read through them?

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Yes I have read them. But I am not sure, how to define co-variants! do have any example?

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A covariate is no different from a group, you just don't use a factor.

sampleTable = data.frame(samples=c("samples", "go", "here", ...),
                         groups=factor(c("group1", "group1", "group2", ...)),
                         age=c(40, 50, 25, ...))
mm = model.matrix(~groups + age, sampleTable)

age is an example of a covariate above.

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Thanks in advance for the nice point

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Do you know what you mean with co-variants? If you do, you should really be able to figure it out by reading the edgeR and/or limma vignettes like Devon said.

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If you have a count matrix already, you can use the Degust (http://vicbioinformatics.com/degust/index.html) GUI to perform edgeR with a simple case-control design. It also gives you the R code used so you can then customise the analysis.

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