Design matrix: DESeq2
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@gyan-prakash-mishra-8555
Last seen 9 days ago
INDIA

Hi all,

I have 20 samples, four genotype , three stimulation with two replicate each sequenced in two batch please see below table.

Screenshot-from-2019-03-10-15-10-00

coldata <- data.frame(row.names=colnames(countdata),genotype,Rep,stimulation,batch)
coldata$group<- factor(paste0(coldata$stimulation,"_",coldata$genotype))
dds <- DESeqDataSetFromMatrix(countData=countdata, colData=coldata, design=~group)

I used group for the design first but as I have sample from two different batch, I also would like to include batch effect into the model. I thought I would include batch as

dds <- DESeqDataSetFromMatrix(countData=countdata, colData=coldata, design=~batch+group)

but I am getting error

the model matrix is not full rank, so the model cannot be fit as specified.

Can somebody help in understanding how can i create design matrix to include batch effect in my design matrix.

I would appreciate any help Thanks

deseq2 • 994 views
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@mikelove
Last seen 3 hours ago
United States

Group is nested within batch. So controlling for batch and group is not possible. Take a look at the section of the vignette that the complete error message directs you to. Here you should just change the design to ~group

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Thanks Michael for reply !

Yes I understood that it would be difficult to model batch and group since it is nested. so I guess using only ~group in design should take care of variance and depth across the sample.

I did pca analysis using vst, I think its the sample looks fine here. please comment your views

vsd <- vst(dds, blind=FALSE)
plotPCA(vsd, intgroup=c("genotype","condition", "Rep"))

PCA-plot

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I’m unfortunately too busy these days to provide such feedback on analyses. I reserve my support site time for questions about software and try to distinguish between those and questions about analysis. I’d recommend collaborating with a bioinformatician with experience in RNA-seq for more detailed feedback.

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